Mplus VERSION 6
MUTHEN & MUTHEN
04/25/2010 10:59 PM
INPUT INSTRUCTIONS
Title:
LCGA
3-categ ordered poly variables for conviction at each
age 11-21
dep. variable scored 0, 1 , 2 (0, 1, or more convictions)
Data:
file is naginORDERED.dat;
Variable:
names are u11 u12 u13 u14 u15
u16 u17 u18 u19 u20
u21 c1 c2 c3 c4 c;
usevar = u11-u21;
categorical = u11-u21;
classes = c(3);
Analysis:
type = mixture;
Model:
%overall%
i s q | u11@-.6 u12@-.5 u13@-.4 u14@-.3
u15@-.2 u16@-.1 u17@0 u18@.1 u19@.2
u20@.3 u21@.4;
Output:
tech1 tech8;
Plot:
series = u11-u21(s);
type = plot3;
INPUT READING TERMINATED NORMALLY
LCGA
3-categ ordered poly variables for conviction at each
age 11-21
dep. variable scored 0, 1 , 2 (0, 1, or more convictions)
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 403
Number of dependent variables 11
Number of independent variables 0
Number of continuous latent variables 3
Number of categorical latent variables 1
Observed dependent variables
Binary and ordered categorical (ordinal)
U11 U12 U13 U14 U15 U16
U17 U18 U19 U20 U21
Continuous latent variables
I S Q
Categorical latent variables
C
Estimator MLR
Information matrix OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
Maximum number of iterations 100
Convergence criterion 0.100D-05
Optimization Specifications for the EM Algorithm
Maximum number of iterations 500
Convergence criteria
Loglikelihood change 0.100D-06
Relative loglikelihood change 0.100D-06
Derivative 0.100D-05
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
Number of M step iterations 1
M step convergence criterion 0.100D-05
Basis for M step termination ITERATION
Maximum value for logit thresholds 15
Minimum value for logit thresholds -15
Minimum expected cell size for chi-square 0.100D-01
Optimization algorithm EMA
Random Starts Specifications
Number of initial stage random starts 10
Number of final stage optimizations 2
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Link LOGIT
Input data file(s)
naginORDERED.dat
Input data format FREE
UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES
U11
Category 1 0.983 396.000
Category 2 0.012 5.000
Category 3 0.005 2.000
U12
Category 1 0.970 391.000
Category 2 0.025 10.000
Category 3 0.005 2.000
U13
Category 1 0.948 382.000
Category 2 0.045 18.000
Category 3 0.007 3.000
U14
Category 1 0.923 372.000
Category 2 0.062 25.000
Category 3 0.015 6.000
U15
Category 1 0.923 372.000
Category 2 0.055 22.000
Category 3 0.022 9.000
U16
Category 1 0.928 374.000
Category 2 0.045 18.000
Category 3 0.027 11.000
U17
Category 1 0.896 361.000
Category 2 0.069 28.000
Category 3 0.035 14.000
U18
Category 1 0.891 359.000
Category 2 0.084 34.000
Category 3 0.025 10.000
U19
Category 1 0.906 365.000
Category 2 0.072 29.000
Category 3 0.022 9.000
U20
Category 1 0.921 371.000
Category 2 0.057 23.000
Category 3 0.022 9.000
U21
Category 1 0.948 382.000
Category 2 0.042 17.000
Category 3 0.010 4.000
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-1071.632 93468 3
-1071.632 127215 9
WARNING: WHEN ESTIMATING A MODEL WITH MORE THAN TWO CLASSES, IT MAY BE
NECESSARY TO INCREASE THE NUMBER OF RANDOM STARTS USING THE STARTS OPTION
TO AVOID LOCAL MAXIMA.
THE MODEL ESTIMATION TERMINATED NORMALLY
TESTS OF MODEL FIT
Loglikelihood
H0 Value -1071.632
H0 Scaling Correction Factor 1.142
for MLR
Information Criteria
Number of Free Parameters 12
Akaike (AIC) 2167.264
Bayesian (BIC) 2215.251
Sample-Size Adjusted BIC 2177.174
(n* = (n + 2) / 24)
Chi-Square Test of Model Fit for the Binary and Ordered Categorical
(Ordinal) Outcomes**
Pearson Chi-Square
Value 724.205
Degrees of Freedom 177107
P-Value 1.0000
Likelihood Ratio Chi-Square
Value 227.754
Degrees of Freedom 177107
P-Value 1.0000
** Of the 177147 cells in the latent class indicator table, 27
were deleted in the calculation of chi-square due to extreme values.
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 86.78118 0.21534
2 303.55938 0.75325
3 12.65944 0.03141
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 86.78119 0.21534
2 303.55941 0.75325
3 12.65940 0.03141
CLASSIFICATION QUALITY
Entropy 0.821
CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 68 0.16873
2 324 0.80397
3 11 0.02730
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2 3
1 0.914 0.045 0.041
2 0.073 0.927 0.000
3 0.105 0.000 0.895
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
I |
U11 1.000 0.000 999.000 999.000
U12 1.000 0.000 999.000 999.000
U13 1.000 0.000 999.000 999.000
U14 1.000 0.000 999.000 999.000
U15 1.000 0.000 999.000 999.000
U16 1.000 0.000 999.000 999.000
U17 1.000 0.000 999.000 999.000
U18 1.000 0.000 999.000 999.000
U19 1.000 0.000 999.000 999.000
U20 1.000 0.000 999.000 999.000
U21 1.000 0.000 999.000 999.000
S |
U11 -0.600 0.000 999.000 999.000
U12 -0.500 0.000 999.000 999.000
U13 -0.400 0.000 999.000 999.000
U14 -0.300 0.000 999.000 999.000
U15 -0.200 0.000 999.000 999.000
U16 -0.100 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.100 0.000 999.000 999.000
U19 0.200 0.000 999.000 999.000
U20 0.300 0.000 999.000 999.000
U21 0.400 0.000 999.000 999.000
Q |
U11 0.360 0.000 999.000 999.000
U12 0.250 0.000 999.000 999.000
U13 0.160 0.000 999.000 999.000
U14 0.090 0.000 999.000 999.000
U15 0.040 0.000 999.000 999.000
U16 0.010 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.010 0.000 999.000 999.000
U19 0.040 0.000 999.000 999.000
U20 0.090 0.000 999.000 999.000
U21 0.160 0.000 999.000 999.000
Means
I -1.633 0.329 -4.955 0.000
S 0.264 0.431 0.613 0.540
Q -7.376 1.249 -5.906 0.000
Thresholds
U11$1 -0.917 0.319 -2.876 0.004
U11$2 0.827 0.304 2.716 0.007
U12$1 -0.917 0.319 -2.876 0.004
U12$2 0.827 0.304 2.716 0.007
U13$1 -0.917 0.319 -2.876 0.004
U13$2 0.827 0.304 2.716 0.007
U14$1 -0.917 0.319 -2.876 0.004
U14$2 0.827 0.304 2.716 0.007
U15$1 -0.917 0.319 -2.876 0.004
U15$2 0.827 0.304 2.716 0.007
U16$1 -0.917 0.319 -2.876 0.004
U16$2 0.827 0.304 2.716 0.007
U17$1 -0.917 0.319 -2.876 0.004
U17$2 0.827 0.304 2.716 0.007
U18$1 -0.917 0.319 -2.876 0.004
U18$2 0.827 0.304 2.716 0.007
U19$1 -0.917 0.319 -2.876 0.004
U19$2 0.827 0.304 2.716 0.007
U20$1 -0.917 0.319 -2.876 0.004
U20$2 0.827 0.304 2.716 0.007
U21$1 -0.917 0.319 -2.876 0.004
U21$2 0.827 0.304 2.716 0.007
Latent Class 2
I |
U11 1.000 0.000 999.000 999.000
U12 1.000 0.000 999.000 999.000
U13 1.000 0.000 999.000 999.000
U14 1.000 0.000 999.000 999.000
U15 1.000 0.000 999.000 999.000
U16 1.000 0.000 999.000 999.000
U17 1.000 0.000 999.000 999.000
U18 1.000 0.000 999.000 999.000
U19 1.000 0.000 999.000 999.000
U20 1.000 0.000 999.000 999.000
U21 1.000 0.000 999.000 999.000
S |
U11 -0.600 0.000 999.000 999.000
U12 -0.500 0.000 999.000 999.000
U13 -0.400 0.000 999.000 999.000
U14 -0.300 0.000 999.000 999.000
U15 -0.200 0.000 999.000 999.000
U16 -0.100 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.100 0.000 999.000 999.000
U19 0.200 0.000 999.000 999.000
U20 0.300 0.000 999.000 999.000
U21 0.400 0.000 999.000 999.000
Q |
U11 0.360 0.000 999.000 999.000
U12 0.250 0.000 999.000 999.000
U13 0.160 0.000 999.000 999.000
U14 0.090 0.000 999.000 999.000
U15 0.040 0.000 999.000 999.000
U16 0.010 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.010 0.000 999.000 999.000
U19 0.040 0.000 999.000 999.000
U20 0.090 0.000 999.000 999.000
U21 0.160 0.000 999.000 999.000
Means
I -5.245 0.509 -10.297 0.000
S 0.802 0.836 0.959 0.337
Q -2.796 2.515 -1.112 0.266
Thresholds
U11$1 -0.917 0.319 -2.876 0.004
U11$2 0.827 0.304 2.716 0.007
U12$1 -0.917 0.319 -2.876 0.004
U12$2 0.827 0.304 2.716 0.007
U13$1 -0.917 0.319 -2.876 0.004
U13$2 0.827 0.304 2.716 0.007
U14$1 -0.917 0.319 -2.876 0.004
U14$2 0.827 0.304 2.716 0.007
U15$1 -0.917 0.319 -2.876 0.004
U15$2 0.827 0.304 2.716 0.007
U16$1 -0.917 0.319 -2.876 0.004
U16$2 0.827 0.304 2.716 0.007
U17$1 -0.917 0.319 -2.876 0.004
U17$2 0.827 0.304 2.716 0.007
U18$1 -0.917 0.319 -2.876 0.004
U18$2 0.827 0.304 2.716 0.007
U19$1 -0.917 0.319 -2.876 0.004
U19$2 0.827 0.304 2.716 0.007
U20$1 -0.917 0.319 -2.876 0.004
U20$2 0.827 0.304 2.716 0.007
U21$1 -0.917 0.319 -2.876 0.004
U21$2 0.827 0.304 2.716 0.007
Latent Class 3
I |
U11 1.000 0.000 999.000 999.000
U12 1.000 0.000 999.000 999.000
U13 1.000 0.000 999.000 999.000
U14 1.000 0.000 999.000 999.000
U15 1.000 0.000 999.000 999.000
U16 1.000 0.000 999.000 999.000
U17 1.000 0.000 999.000 999.000
U18 1.000 0.000 999.000 999.000
U19 1.000 0.000 999.000 999.000
U20 1.000 0.000 999.000 999.000
U21 1.000 0.000 999.000 999.000
S |
U11 -0.600 0.000 999.000 999.000
U12 -0.500 0.000 999.000 999.000
U13 -0.400 0.000 999.000 999.000
U14 -0.300 0.000 999.000 999.000
U15 -0.200 0.000 999.000 999.000
U16 -0.100 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.100 0.000 999.000 999.000
U19 0.200 0.000 999.000 999.000
U20 0.300 0.000 999.000 999.000
U21 0.400 0.000 999.000 999.000
Q |
U11 0.360 0.000 999.000 999.000
U12 0.250 0.000 999.000 999.000
U13 0.160 0.000 999.000 999.000
U14 0.090 0.000 999.000 999.000
U15 0.040 0.000 999.000 999.000
U16 0.010 0.000 999.000 999.000
U17 0.000 0.000 999.000 999.000
U18 0.010 0.000 999.000 999.000
U19 0.040 0.000 999.000 999.000
U20 0.090 0.000 999.000 999.000
U21 0.160 0.000 999.000 999.000
Means
I 0.000 0.000 999.000 999.000
S 0.311 1.012 0.308 0.758
Q -3.853 1.943 -1.983 0.047
Thresholds
U11$1 -0.917 0.319 -2.876 0.004
U11$2 0.827 0.304 2.716 0.007
U12$1 -0.917 0.319 -2.876 0.004
U12$2 0.827 0.304 2.716 0.007
U13$1 -0.917 0.319 -2.876 0.004
U13$2 0.827 0.304 2.716 0.007
U14$1 -0.917 0.319 -2.876 0.004
U14$2 0.827 0.304 2.716 0.007
U15$1 -0.917 0.319 -2.876 0.004
U15$2 0.827 0.304 2.716 0.007
U16$1 -0.917 0.319 -2.876 0.004
U16$2 0.827 0.304 2.716 0.007
U17$1 -0.917 0.319 -2.876 0.004
U17$2 0.827 0.304 2.716 0.007
U18$1 -0.917 0.319 -2.876 0.004
U18$2 0.827 0.304 2.716 0.007
U19$1 -0.917 0.319 -2.876 0.004
U19$2 0.827 0.304 2.716 0.007
U20$1 -0.917 0.319 -2.876 0.004
U20$2 0.827 0.304 2.716 0.007
U21$1 -0.917 0.319 -2.876 0.004
U21$2 0.827 0.304 2.716 0.007
Categorical Latent Variables
Means
C#1 1.925 0.472 4.075 0.000
C#2 3.177 0.517 6.150 0.000
RESULTS IN PROBABILITY SCALE
Latent Class 1
U11
Category 1 0.972 0.012 77.831 0.000
Category 2 0.023 0.010 2.300 0.021
Category 3 0.005 0.002 2.098 0.036
U12
Category 1 0.937 0.021 45.007 0.000
Category 2 0.052 0.017 3.102 0.002
Category 3 0.012 0.004 2.626 0.009
U13
Category 1 0.881 0.030 29.151 0.000
Category 2 0.096 0.024 4.069 0.000
Category 3 0.023 0.007 3.107 0.002
U14
Category 1 0.811 0.040 20.213 0.000
Category 2 0.150 0.030 4.962 0.000
Category 3 0.039 0.011 3.400 0.001
U15
Category 1 0.743 0.050 15.003 0.000
Category 2 0.200 0.036 5.611 0.000
Category 3 0.057 0.016 3.504 0.000
U16
Category 1 0.693 0.056 12.282 0.000
Category 2 0.235 0.039 6.020 0.000
Category 3 0.072 0.020 3.521 0.000
U17
Category 1 0.672 0.060 11.266 0.000
Category 2 0.250 0.041 6.160 0.000
Category 3 0.079 0.022 3.523 0.000
U18
Category 1 0.682 0.059 11.555 0.000
Category 2 0.243 0.041 5.962 0.000
Category 3 0.075 0.021 3.518 0.000
U19
Category 1 0.723 0.055 13.071 0.000
Category 2 0.214 0.040 5.409 0.000
Category 3 0.063 0.018 3.464 0.001
U20
Category 1 0.786 0.049 15.962 0.000
Category 2 0.169 0.037 4.556 0.000
Category 3 0.045 0.014 3.272 0.001
U21
Category 1 0.857 0.041 20.826 0.000
Category 2 0.115 0.032 3.560 0.000
Category 3 0.028 0.010 2.882 0.004
Latent Class 2
U11
Category 1 0.997 0.002 412.343 0.000
Category 2 0.002 0.002 1.226 0.220
Category 3 0.001 0.000 1.219 0.223
U12
Category 1 0.996 0.003 369.977 0.000
Category 2 0.004 0.002 1.620 0.105
Category 3 0.001 0.000 1.595 0.111
U13
Category 1 0.994 0.003 325.982 0.000
Category 2 0.005 0.003 1.990 0.047
Category 3 0.001 0.001 1.928 0.054
U14
Category 1 0.992 0.004 267.625 0.000
Category 2 0.007 0.003 2.156 0.031
Category 3 0.001 0.001 2.061 0.039
U15
Category 1 0.990 0.005 212.373 0.000
Category 2 0.008 0.004 2.135 0.033
Category 3 0.002 0.001 2.028 0.043
U16
Category 1 0.988 0.006 175.364 0.000
Category 2 0.010 0.005 2.079 0.038
Category 3 0.002 0.001 1.969 0.049
U17
Category 1 0.987 0.006 156.996 0.000
Category 2 0.011 0.005 2.075 0.038
Category 3 0.002 0.001 1.961 0.050
U18
Category 1 0.986 0.006 153.643 0.000
Category 2 0.011 0.005 2.140 0.032
Category 3 0.002 0.001 2.018 0.044
U19
Category 1 0.986 0.006 160.985 0.000
Category 2 0.011 0.005 2.232 0.026
Category 3 0.002 0.001 2.104 0.035
U20
Category 1 0.987 0.006 169.531 0.000
Category 2 0.011 0.005 2.212 0.027
Category 3 0.002 0.001 2.099 0.036
U21
Category 1 0.989 0.006 165.763 0.000
Category 2 0.009 0.005 1.925 0.054
Category 3 0.002 0.001 1.857 0.063
Latent Class 3
U11
Category 1 0.659 0.156 4.230 0.000
Category 2 0.258 0.105 2.470 0.014
Category 3 0.083 0.053 1.580 0.114
U12
Category 1 0.550 0.138 3.997 0.000
Category 2 0.325 0.081 4.030 0.000
Category 3 0.125 0.060 2.080 0.037
U13
Category 1 0.456 0.114 3.999 0.000
Category 2 0.371 0.056 6.650 0.000
Category 3 0.173 0.064 2.699 0.007
U14
Category 1 0.383 0.093 4.098 0.000
Category 2 0.397 0.039 10.275 0.000
Category 3 0.220 0.065 3.378 0.001
U15
Category 1 0.332 0.078 4.227 0.000
Category 2 0.408 0.030 13.505 0.000
Category 3 0.261 0.065 4.030 0.000
U16
Category 1 0.300 0.069 4.358 0.000
Category 2 0.410 0.027 14.923 0.000
Category 3 0.290 0.064 4.546 0.000
U17
Category 1 0.286 0.065 4.393 0.000
Category 2 0.410 0.027 15.129 0.000
Category 3 0.304 0.064 4.724 0.000
U18
Category 1 0.287 0.069 4.132 0.000
Category 2 0.410 0.027 15.062 0.000
Category 3 0.303 0.070 4.319 0.000
U19
Category 1 0.305 0.086 3.538 0.000
Category 2 0.410 0.027 14.943 0.000
Category 3 0.285 0.083 3.437 0.001
U20
Category 1 0.340 0.118 2.877 0.004
Category 2 0.406 0.032 12.694 0.000
Category 3 0.254 0.101 2.511 0.012
U21
Category 1 0.395 0.167 2.371 0.018
Category 2 0.394 0.055 7.115 0.000
Category 3 0.211 0.118 1.789 0.074
LATENT CLASS ODDS RATIO RESULTS
Latent Class 1 Compared to Latent Class 2
U11
Category > 1 9.846 9.740 1.011 0.312
Category > 2 9.846 9.740 1.011 0.312
U12
Category > 1 15.441 11.014 1.402 0.161
Category > 2 15.441 11.014 1.402 0.161
U13
Category > 1 22.097 11.405 1.937 0.053
Category > 2 22.097 11.405 1.937 0.053
U14
Category > 1 28.854 11.703 2.466 0.014
Category > 2 28.854 11.703 2.466 0.014
U15
Category > 1 34.378 12.688 2.709 0.007
Category > 2 34.378 12.688 2.709 0.007
U16
Category > 1 37.374 13.734 2.721 0.007
Category > 2 37.374 13.734 2.721 0.007
U17
Category > 1 37.075 13.612 2.724 0.006
Category > 2 37.075 13.612 2.724 0.006
U18
Category > 1 33.559 12.081 2.778 0.005
Category > 2 33.559 12.081 2.778 0.005
U19
Category > 1 27.717 10.142 2.733 0.006
Category > 2 27.717 10.142 2.733 0.006
U20
Category > 1 20.888 8.922 2.341 0.019
Category > 2 20.888 8.922 2.341 0.019
U21
Category > 1 14.363 8.256 1.740 0.082
Category > 2 14.363 8.256 1.740 0.082
Latent Class 1 Compared to Latent Class 3
U11
Category > 1 0.057 0.043 1.316 0.188
Category > 2 0.057 0.043 1.316 0.188
U12
Category > 1 0.083 0.047 1.748 0.081
Category > 2 0.083 0.047 1.748 0.081
U13
Category > 1 0.113 0.050 2.255 0.024
Category > 2 0.113 0.050 2.255 0.024
U14
Category > 1 0.144 0.053 2.699 0.007
Category > 2 0.144 0.053 2.699 0.007
U15
Category > 1 0.171 0.058 2.957 0.003
Category > 2 0.171 0.058 2.957 0.003
U16
Category > 1 0.190 0.062 3.054 0.002
Category > 2 0.190 0.062 3.054 0.002
U17
Category > 1 0.195 0.064 3.035 0.002
Category > 2 0.195 0.064 3.035 0.002
U18
Category > 1 0.188 0.066 2.829 0.005
Category > 2 0.188 0.066 2.829 0.005
U19
Category > 1 0.168 0.071 2.378 0.017
Category > 2 0.168 0.071 2.378 0.017
U20
Category > 1 0.140 0.077 1.831 0.067
Category > 2 0.140 0.077 1.831 0.067
U21
Category > 1 0.109 0.080 1.365 0.172
Category > 2 0.109 0.080 1.365 0.172
Latent Class 2 Compared to Latent Class 3
U11
Category > 1 0.006 0.006 0.981 0.327
Category > 2 0.006 0.006 0.981 0.327
U12
Category > 1 0.005 0.004 1.333 0.183
Category > 2 0.005 0.004 1.333 0.183
U13
Category > 1 0.005 0.003 1.722 0.085
Category > 2 0.005 0.003 1.722 0.085
U14
Category > 1 0.005 0.003 1.970 0.049
Category > 2 0.005 0.003 1.970 0.049
U15
Category > 1 0.005 0.002 2.010 0.044
Category > 2 0.005 0.002 2.010 0.044
U16
Category > 1 0.005 0.003 1.976 0.048
Category > 2 0.005 0.003 1.976 0.048
U17
Category > 1 0.005 0.003 1.963 0.050
Category > 2 0.005 0.003 1.963 0.050
U18
Category > 1 0.006 0.003 1.964 0.050
Category > 2 0.006 0.003 1.964 0.050
U19
Category > 1 0.006 0.003 1.876 0.061
Category > 2 0.006 0.003 1.876 0.061
U20
Category > 1 0.007 0.004 1.603 0.109
Category > 2 0.007 0.004 1.603 0.109
U21
Category > 1 0.008 0.006 1.236 0.217
Category > 2 0.008 0.006 1.236 0.217
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.397E-03
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
PARAMETER SPECIFICATION FOR LATENT CLASS 2
PARAMETER SPECIFICATION FOR LATENT CLASS 3
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 1
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 1
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 1
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 1
U21$1 U21$2
________ ________
1 1 2
TAU(U) FOR LATENT CLASS 2
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 2
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 2
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 2
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 2
U21$1 U21$2
________ ________
1 1 2
TAU(U) FOR LATENT CLASS 3
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 3
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 3
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 1 2 1 2 1
TAU(U) FOR LATENT CLASS 3
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 2 1 2 1 2
TAU(U) FOR LATENT CLASS 3
U21$1 U21$2
________ ________
1 1 2
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2 C#3
________ ________ ________
1 11 12 0
PARAMETER SPECIFICATION FOR LATENT CLASS INDICATOR GROWTH MODEL PART
LAMBDA(F) FOR LATENT CLASS 1
I S Q
________ ________ ________
U11 0 0 0
U12 0 0 0
U13 0 0 0
U14 0 0 0
U15 0 0 0
U16 0 0 0
U17 0 0 0
U18 0 0 0
U19 0 0 0
U20 0 0 0
U21 0 0 0
ALPHA(F) FOR LATENT CLASS 1
I S Q
________ ________ ________
1 3 4 5
LAMBDA(F) FOR LATENT CLASS 2
I S Q
________ ________ ________
U11 0 0 0
U12 0 0 0
U13 0 0 0
U14 0 0 0
U15 0 0 0
U16 0 0 0
U17 0 0 0
U18 0 0 0
U19 0 0 0
U20 0 0 0
U21 0 0 0
ALPHA(F) FOR LATENT CLASS 2
I S Q
________ ________ ________
1 6 7 8
LAMBDA(F) FOR LATENT CLASS 3
I S Q
________ ________ ________
U11 0 0 0
U12 0 0 0
U13 0 0 0
U14 0 0 0
U15 0 0 0
U16 0 0 0
U17 0 0 0
U18 0 0 0
U19 0 0 0
U20 0 0 0
U21 0 0 0
ALPHA(F) FOR LATENT CLASS 3
I S Q
________ ________ ________
1 0 9 10
STARTING VALUES FOR LATENT CLASS 1
STARTING VALUES FOR LATENT CLASS 2
STARTING VALUES FOR LATENT CLASS 3
STARTING VALUES FOR LATENT CLASS INDICATOR MODEL PART
TAU(U) FOR LATENT CLASS 1
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 1
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 1
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 1
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 1
U21$1 U21$2
________ ________
1 2.710 4.200
TAU(U) FOR LATENT CLASS 2
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 2
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 2
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 2
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 2
U21$1 U21$2
________ ________
1 2.710 4.200
TAU(U) FOR LATENT CLASS 3
U11$1 U11$2 U12$1 U12$2 U13$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 3
U13$2 U14$1 U14$2 U15$1 U15$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 3
U16$1 U16$2 U17$1 U17$2 U18$1
________ ________ ________ ________ ________
1 2.710 4.200 2.710 4.200 2.710
TAU(U) FOR LATENT CLASS 3
U18$2 U19$1 U19$2 U20$1 U20$2
________ ________ ________ ________ ________
1 4.200 2.710 4.200 2.710 4.200
TAU(U) FOR LATENT CLASS 3
U21$1 U21$2
________ ________
1 2.710 4.200
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2 C#3
________ ________ ________
1 0.000 0.000 0.000
STARTING VALUES FOR LATENT CLASS INDICATOR GROWTH MODEL PART
LAMBDA(F) FOR CLASS LATENT CLASS 1
I S Q
________ ________ ________
U11 1.000 -0.600 0.360
U12 1.000 -0.500 0.250
U13 1.000 -0.400 0.160
U14 1.000 -0.300 0.090
U15 1.000 -0.200 0.040
U16 1.000 -0.100 0.010
U17 1.000 0.000 0.000
U18 1.000 0.100 0.010
U19 1.000 0.200 0.040
U20 1.000 0.300 0.090
U21 1.000 0.400 0.160
ALPHA(F) FOR LATENT CLASS 1
I S Q
________ ________ ________
1 0.000 0.000 0.000
LAMBDA(F) FOR CLASS LATENT CLASS 2
I S Q
________ ________ ________
U11 1.000 -0.600 0.360
U12 1.000 -0.500 0.250
U13 1.000 -0.400 0.160
U14 1.000 -0.300 0.090
U15 1.000 -0.200 0.040
U16 1.000 -0.100 0.010
U17 1.000 0.000 0.000
U18 1.000 0.100 0.010
U19 1.000 0.200 0.040
U20 1.000 0.300 0.090
U21 1.000 0.400 0.160
ALPHA(F) FOR LATENT CLASS 2
I S Q
________ ________ ________
1 0.000 0.000 0.000
LAMBDA(F) FOR CLASS LATENT CLASS 3
I S Q
________ ________ ________
U11 1.000 -0.600 0.360
U12 1.000 -0.500 0.250
U13 1.000 -0.400 0.160
U14 1.000 -0.300 0.090
U15 1.000 -0.200 0.040
U16 1.000 -0.100 0.010
U17 1.000 0.000 0.000
U18 1.000 0.100 0.010
U19 1.000 0.200 0.040
U20 1.000 0.300 0.090
U21 1.000 0.400 0.160
ALPHA(F) FOR LATENT CLASS 3
I S Q
________ ________ ________
1 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12959246D+04 0.0000000 0.0000000 134.333 134.333 EM
134.333
2 -0.12675636D+04 28.3610016 0.0218848 134.333 134.333 EM
134.333
3 -0.12659181D+04 1.6454987 0.0012982 134.333 134.333 EM
134.333
4 -0.12659043D+04 0.0137879 0.0000109 134.333 134.333 EM
134.333
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.29213700D+04 0.0000000 0.0000000 0.839 398.769 EM
3.391
2 -0.15118780D+04 1409.4919282 0.4824764 1.652 395.033 EM
6.315
3 -0.12836927D+04 228.1853605 0.1509284 2.803 387.298 EM
12.899
4 -0.11762717D+04 107.4209430 0.0836812 4.100 377.528 EM
21.372
5 -0.11236690D+04 52.6027002 0.0447199 5.019 369.215 EM
28.766
6 -0.11057190D+04 17.9499987 0.0159745 5.667 362.441 EM
34.892
7 -0.10985478D+04 7.1712069 0.0064856 6.357 356.749 EM
39.894
8 -0.10918881D+04 6.6597480 0.0060623 7.158 351.448 EM
44.394
9 -0.10851607D+04 6.7273490 0.0061612 7.474 345.654 EM
49.872
10 -0.10808651D+04 4.2955892 0.0039585 7.576 339.823 EM
55.601
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.15676554D+04 0.0000000 0.0000000 264.698 119.023 EM
19.279
2 -0.11163499D+04 451.3055101 0.2878857 247.903 127.903 EM
27.194
3 -0.11015241D+04 14.8257082 0.0132805 232.748 137.471 EM
32.781
4 -0.10940133D+04 7.5108036 0.0068186 219.689 146.516 EM
36.796
5 -0.10898083D+04 4.2050085 0.0038437 208.471 154.917 EM
39.612
6 -0.10872376D+04 2.5707302 0.0023589 198.802 162.702 EM
41.497
7 -0.10855481D+04 1.6894847 0.0015539 190.399 169.947 EM
42.655
8 -0.10843412D+04 1.2069584 0.0011118 183.014 176.740 EM
43.246
9 -0.10833971D+04 0.9440468 0.0008706 176.447 183.159 EM
43.395
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.14652301D+04 0.0000000 0.0000000 94.515 295.913 EM
12.572
2 -0.11020542D+04 363.1759263 0.2478627 77.193 314.997 EM
10.811
3 -0.10772781D+04 24.7760556 0.0224817 74.044 317.159 EM
11.797
4 -0.10730132D+04 4.2648978 0.0039590 75.610 315.676 EM
11.714
5 -0.10722408D+04 0.7724238 0.0007199 77.409 314.028 EM
11.563
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19045284D+04 0.0000000 0.0000000 23.503 373.493 EM
6.004
2 -0.11377421D+04 766.7863394 0.4026122 30.888 366.062 EM
6.050
3 -0.11092102D+04 28.5318305 0.0250776 34.685 361.136 EM
7.179
4 -0.10999336D+04 9.2766352 0.0083633 38.021 356.130 EM
8.849
5 -0.10954618D+04 4.4718546 0.0040656 40.364 351.560 EM
11.076
6 -0.10927660D+04 2.6957581 0.0024608 41.744 347.353 EM
13.904
7 -0.10906731D+04 2.0928813 0.0019152 42.291 343.358 EM
17.351
8 -0.10888067D+04 1.8664470 0.0017113 42.108 339.513 EM
21.379
9 -0.10870685D+04 1.7381625 0.0015964 41.295 335.812 EM
25.893
10 -0.10854354D+04 1.6331202 0.0015023 39.961 332.269 EM
30.770
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.60202106D+04 0.0000000 0.0000000 0.000 4.359 EM
398.641
2 -0.13051531D+04 4715.0574785 0.7832047 0.000 4.690 EM
398.310
3 -0.11860708D+04 119.0822808 0.0912401 0.000 17.795 EM
385.205
4 -0.11321123D+04 53.9585572 0.0454935 0.000 27.197 EM
375.803
5 -0.11135199D+04 18.5924030 0.0164228 0.000 34.795 EM
368.205
6 -0.11045525D+04 8.9673531 0.0080532 0.000 41.300 EM
361.700
7 -0.10993623D+04 5.1901696 0.0046989 0.000 46.562 EM
356.438
8 -0.10964285D+04 2.9338584 0.0026687 0.007 50.772 EM
352.221
9 -0.10939176D+04 2.5109053 0.0022901 0.562 53.718 EM
348.720
10 -0.10888529D+04 5.0646885 0.0046299 1.105 56.567 EM
345.328
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.61216143D+04 0.0000000 0.0000000 3.438 0.107 EM
399.455
2 -0.14728936D+04 4648.7206997 0.7593946 2.343 0.119 EM
400.538
3 -0.12900967D+04 182.7969257 0.1241074 8.185 3.756 EM
391.059
4 -0.11718875D+04 118.2091175 0.0916281 18.029 4.600 EM
380.372
5 -0.11229599D+04 48.9275972 0.0417511 27.238 4.825 EM
370.937
6 -0.11039012D+04 19.0587640 0.0169719 35.052 5.054 EM
362.894
7 -0.10937239D+04 10.1772364 0.0092193 41.944 5.387 EM
355.669
8 -0.10872440D+04 6.4799257 0.0059246 48.141 5.752 EM
349.107
9 -0.10829159D+04 4.3281405 0.0039808 53.711 6.176 EM
343.113
10 -0.10797532D+04 3.1626548 0.0029205 58.638 6.641 EM
337.721
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.48149457D+04 0.0000000 0.0000000 5.499 0.899 EM
396.601
2 -0.12876666D+04 3527.2791281 0.7325688 11.235 1.714 EM
390.051
3 -0.11569677D+04 130.6988764 0.1015006 16.718 5.406 EM
380.876
4 -0.11195808D+04 37.3869140 0.0323146 20.426 10.634 EM
371.940
5 -0.11050011D+04 14.5797169 0.0130225 22.834 15.495 EM
364.670
6 -0.10977005D+04 7.3005706 0.0066068 24.769 19.937 EM
358.294
7 -0.10930746D+04 4.6259214 0.0042142 26.154 24.152 EM
352.695
8 -0.10899561D+04 3.1184923 0.0028530 26.967 28.282 EM
347.751
9 -0.10876641D+04 2.2919668 0.0021028 27.301 32.418 EM
343.282
10 -0.10857862D+04 1.8779152 0.0017266 27.232 36.602 EM
339.165
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12149100D+04 0.0000000 0.0000000 61.763 322.627 EM
18.610
2 -0.11001525D+04 114.7575829 0.0944577 46.240 336.554 EM
20.206
3 -0.10871198D+04 13.0326243 0.0118462 44.967 334.369 EM
23.664
4 -0.10856268D+04 1.4930195 0.0013734 43.956 332.012 EM
27.033
5 -0.10847303D+04 0.8964986 0.0008258 42.844 329.802 EM
30.355
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.52500859D+04 0.0000000 0.0000000 11.192 2.035 EM
389.773
2 -0.13674352D+04 3882.6506966 0.7395404 13.824 5.338 EM
383.837
3 -0.12051346D+04 162.3005896 0.1186898 20.655 6.401 EM
375.944
4 -0.11327373D+04 72.3973111 0.0600740 27.629 7.544 EM
367.827
5 -0.11057657D+04 26.9715821 0.0238110 33.446 8.347 EM
361.207
6 -0.10980139D+04 7.7518468 0.0070104 38.177 8.935 EM
355.888
7 -0.10938190D+04 4.1948720 0.0038204 42.413 9.321 EM
351.266
8 -0.10892620D+04 4.5570743 0.0041662 46.911 9.460 EM
346.629
9 -0.10839623D+04 5.2996904 0.0048654 52.139 9.367 EM
341.493
10 -0.10795849D+04 4.3773404 0.0040383 57.658 9.187 EM
336.156
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.14272260D+04 0.0000000 0.0000000 102.301 272.768 EM
27.931
2 -0.11011309D+04 326.0951548 0.2284818 95.392 280.828 EM
26.780
3 -0.10960638D+04 5.0670304 0.0046017 89.560 285.552 EM
27.888
4 -0.10929375D+04 3.1263213 0.0028523 83.759 289.603 EM
29.637
5 -0.10908189D+04 2.1186056 0.0019385 78.739 292.535 EM
31.725
6 -0.10893959D+04 1.4230118 0.0013045 74.434 294.451 EM
34.115
7 -0.10882317D+04 1.1641765 0.0010686 70.535 295.700 EM
36.764
8 -0.10871641D+04 1.0675752 0.0009810 66.861 296.499 EM
39.640
9 -0.10861396D+04 1.0245041 0.0009424 63.323 296.979 EM
42.698
10 -0.10851510D+04 0.9886137 0.0009102 59.898 297.221 EM
45.881
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
5 -0.10722408D+04 0.7724238 0.0007199 77.409 314.028 EM
11.563
6 -0.10719955D+04 0.2453316 0.0002288 78.871 312.652 EM
11.477
7 -0.10718829D+04 0.1126112 0.0001050 80.022 311.527 EM
11.450
8 -0.10718179D+04 0.0650048 0.0000606 80.939 310.596 EM
11.465
9 -0.10717751D+04 0.0427853 0.0000399 81.679 309.815 EM
11.507
10 -0.10717447D+04 0.0304018 0.0000284 82.286 309.149 EM
11.565
11 -0.10717220D+04 0.0226493 0.0000211 82.792 308.577 EM
11.631
12 -0.10717046D+04 0.0173961 0.0000162 83.220 308.079 EM
11.701
13 -0.10716910D+04 0.0136338 0.0000127 83.586 307.642 EM
11.772
14 -0.10716802D+04 0.0108328 0.0000101 83.904 307.256 EM
11.840
15 -0.10716715D+04 0.0086903 0.0000081 84.182 306.913 EM
11.905
16 -0.10716644D+04 0.0070205 0.0000066 84.427 306.607 EM
11.967
17 -0.10716587D+04 0.0057016 0.0000053 84.644 306.332 EM
12.024
18 -0.10716541D+04 0.0046498 0.0000043 84.839 306.084 EM
12.077
19 -0.10716503D+04 0.0038049 0.0000036 85.013 305.861 EM
12.126
20 -0.10716472D+04 0.0031225 0.0000029 85.170 305.659 EM
12.171
21 -0.10716446D+04 0.0025688 0.0000024 85.311 305.476 EM
12.212
22 -0.10716425D+04 0.0021178 0.0000020 85.439 305.310 EM
12.250
23 -0.10716407D+04 0.0017494 0.0000016 85.556 305.159 EM
12.285
24 -0.10716393D+04 0.0014475 0.0000014 85.661 305.022 EM
12.317
25 -0.10716381D+04 0.0011996 0.0000011 85.757 304.897 EM
12.346
26 -0.10716371D+04 0.0009955 0.0000009 85.844 304.783 EM
12.372
27 -0.10716363D+04 0.0008271 0.0000008 85.924 304.679 EM
12.397
28 -0.10716356D+04 0.0006880 0.0000006 85.997 304.584 EM
12.419
29 -0.10716350D+04 0.0005729 0.0000005 86.063 304.498 EM
12.439
30 -0.10716345D+04 0.0004776 0.0000004 86.123 304.419 EM
12.458
31 -0.10716341D+04 0.0003984 0.0000004 86.179 304.347 EM
12.475
32 -0.10716338D+04 0.0003326 0.0000003 86.229 304.280 EM
12.490
33 -0.10716335D+04 0.0002779 0.0000003 86.276 304.220 EM
12.504
34 -0.10716333D+04 0.0002323 0.0000002 86.318 304.165 EM
12.517
35 -0.10716331D+04 0.0001943 0.0000002 86.357 304.114 EM
12.529
36 -0.10716329D+04 0.0001627 0.0000002 86.392 304.068 EM
12.540
37 -0.10716328D+04 0.0001362 0.0000001 86.425 304.025 EM
12.550
38 -0.10716327D+04 0.0001141 0.0000001 86.454 303.987 EM
12.559
39 -0.10716322D+04 0.0005189 0.0000005 86.712 303.669 FS
12.620
40 -0.10716321D+04 0.0000632 0.0000001 86.743 303.613 FS
12.644
41 -0.10716321D+04 0.0000109 0.0000000 86.774 303.573 FS
12.653
42 -0.10716321D+04 0.0000022 0.0000000 86.774 303.569 FS
12.657
43 -0.10716321D+04 0.0000005 0.0000000 86.781 303.560 FS
12.658
44 -0.10716321D+04 0.0000002 0.0000000 86.779 303.562 FS
12.659
45 -0.10716321D+04 0.0000001 0.0000000 86.782 303.559 FS
12.659
46 -0.10716321D+04 0.0000000 0.0000000 86.781 303.560 FS
12.659
47 -0.10716321D+04 0.0000000 0.0000000 86.782 303.559 FS
12.659
48 -0.10716321D+04 0.0000000 0.0000000 86.781 303.560 FS
12.659
49 -0.10716321D+04 0.0000000 0.0000000 86.781 303.559 FS
12.659
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
10 -0.10795849D+04 4.3773404 0.0040383 57.658 9.187 EM
336.156
11 -0.10767708D+04 2.8141135 0.0026067 62.601 9.101 EM
331.299
12 -0.10750057D+04 1.7651118 0.0016393 66.652 9.139 EM
327.209
13 -0.10739029D+04 1.1027715 0.0010258 69.881 9.262 EM
323.856
14 -0.10732119D+04 0.6909840 0.0006434 72.440 9.438 EM
321.121
15 -0.10727681D+04 0.4438134 0.0004135 74.476 9.645 EM
318.879
16 -0.10724721D+04 0.2960062 0.0002759 76.112 9.866 EM
317.022
17 -0.10722668D+04 0.2052758 0.0001914 77.444 10.090 EM
315.467
18 -0.10721196D+04 0.1472169 0.0001373 78.544 10.308 EM
314.148
19 -0.10720112D+04 0.1083927 0.0001011 79.467 10.516 EM
313.017
20 -0.10719298D+04 0.0814086 0.0000759 80.252 10.710 EM
312.038
21 -0.10718678D+04 0.0620717 0.0000579 80.928 10.888 EM
311.184
22 -0.10718199D+04 0.0478900 0.0000447 81.516 11.052 EM
310.432
23 -0.10717826D+04 0.0373046 0.0000348 82.031 11.201 EM
309.768
24 -0.10717533D+04 0.0292942 0.0000273 82.487 11.336 EM
309.177
25 -0.10717301D+04 0.0231641 0.0000216 82.892 11.457 EM
308.651
26 -0.10717117D+04 0.0184286 0.0000172 83.253 11.568 EM
308.180
27 -0.10716969D+04 0.0147404 0.0000138 83.576 11.667 EM
307.757
28 -0.10716851D+04 0.0118472 0.0000111 83.867 11.757 EM
307.376
29 -0.10716755D+04 0.0095630 0.0000089 84.128 11.838 EM
307.034
30 -0.10716678D+04 0.0077491 0.0000072 84.365 11.912 EM
306.724
31 -0.10716615D+04 0.0063012 0.0000059 84.578 11.978 EM
306.444
32 -0.10716563D+04 0.0051400 0.0000048 84.772 12.038 EM
306.190
33 -0.10716521D+04 0.0042047 0.0000039 84.947 12.093 EM
305.960
34 -0.10716487D+04 0.0034485 0.0000032 85.106 12.143 EM
305.751
35 -0.10716458D+04 0.0028349 0.0000026 85.251 12.188 EM
305.561
36 -0.10716435D+04 0.0023354 0.0000022 85.383 12.228 EM
305.389
37 -0.10716416D+04 0.0019276 0.0000018 85.503 12.266 EM
305.231
38 -0.10716333D+04 0.0082990 0.0000077 86.487 12.508 FS
304.005
39 -0.10716323D+04 0.0009869 0.0000009 86.628 12.602 FS
303.770
40 -0.10716321D+04 0.0001683 0.0000002 86.752 12.635 FS
303.613
41 -0.10716321D+04 0.0000341 0.0000000 86.750 12.650 FS
303.599
42 -0.10716321D+04 0.0000088 0.0000000 86.781 12.655 FS
303.564
43 -0.10716321D+04 0.0000030 0.0000000 86.773 12.658 FS
303.569
44 -0.10716321D+04 0.0000013 0.0000000 86.783 12.659 FS
303.558
45 -0.10716321D+04 0.0000006 0.0000000 86.779 12.659 FS
303.562
46 -0.10716321D+04 0.0000003 0.0000000 86.783 12.659 FS
303.558
47 -0.10716321D+04 0.0000002 0.0000000 86.780 12.659 FS
303.560
48 -0.10716321D+04 0.0000001 0.0000000 86.782 12.659 FS
303.559
49 -0.10716321D+04 0.0000000 0.0000000 86.781 12.659 FS
303.560
50 -0.10716321D+04 0.0000000 0.0000000 86.782 12.659 FS
303.559
51 -0.10716321D+04 0.0000000 0.0000000 86.781 12.659 FS
303.560
52 -0.10716321D+04 0.0000000 0.0000000 86.781 12.659 FS
303.559
PLOT INFORMATION
The following plots are available:
Histograms (sample values)
Scatterplots (sample values)
Sample proportions
Estimated probabilities
Beginning Time: 22:59:00
Ending Time: 22:59:01
Elapsed Time: 00:00:01
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