Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022  11:13 PM

INPUT INSTRUCTIONS

  TITLE:	this is an example of a zero-inflated
  	Poisson regression carried out as a two-
  	class model
  DATA:	FILE IS ex7.25.dat;
  VARIABLE:	NAMES ARE u1 x1 x3;
  	COUNT IS u1;
  	CLASSES = c (2);
  ANALYSIS:	TYPE = MIXTURE;
  MODEL:	
  	%OVERALL%
  	u1 ON x1 x3;
  	c ON x1 x3;
  	%c#1%
  	[u1@-15];
  	u1 ON x1@0 x3@0;
  OUTPUT:	TECH1 TECH8;



INPUT READING TERMINATED NORMALLY



this is an example of a zero-inflated
Poisson regression carried out as a two-
class model

SUMMARY OF ANALYSIS

Number of groups                                                 1
Number of observations                                         500

Number of dependent variables                                    1
Number of independent variables                                  2
Number of continuous latent variables                            0
Number of categorical latent variables                           1

Observed dependent variables

  Count
   U1

Observed independent variables
   X1          X3

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                         20
  Number of final stage optimizations                            4
  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

Input data file(s)
  ex7.25.dat
Input data format  FREE


COUNT PROPORTION OF ZERO, MINIMUM AND MAXIMUM VALUES

      U1          0.448         0        11



UNIVARIATE SAMPLE STATISTICS


     UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS

         Variable/         Mean/     Skewness/   Minimum/ % with                Percentiles
        Sample Size      Variance    Kurtosis    Maximum  Min/Max      20%/60%    40%/80%    Median

     X1                    0.020      -0.129      -3.139    0.20%      -0.833     -0.200     -0.002
             500.000       1.070       0.174       2.970    0.20%       0.322      0.887
     X3                   -0.022      -0.043      -2.976    0.20%      -0.919     -0.209     -0.010
             500.000       0.974      -0.258       2.619    0.20%       0.246      0.825

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:

            -724.663  195873           6
            -724.663  851945           18
            -724.663  76974            16
            -724.663  650371           14



THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED.  RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.


THE MODEL ESTIMATION TERMINATED NORMALLY



MODEL FIT INFORMATION

Number of Free Parameters                        6

Loglikelihood

          H0 Value                        -724.663
          H0 Scaling Correction Factor      1.0130
            for MLR

Information Criteria

          Akaike (AIC)                    1461.327
          Bayesian (BIC)                  1486.614
          Sample-Size Adjusted BIC        1467.570
            (n* = (n + 2) / 24)



FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL

    Latent
   Classes

       1        173.59097          0.34718
       2        326.40903          0.65282


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES

    Latent
   Classes

       1        173.59088          0.34718
       2        326.40912          0.65282


FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP

Class Counts and Proportions

    Latent
   Classes

       1              177          0.35400
       2              323          0.64600


CLASSIFICATION QUALITY

     Entropy                         0.896


Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)

           1        2

    1   0.947    0.053
    2   0.019    0.981


Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

           1        2

    1   0.966    0.034
    2   0.029    0.971


Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)

              1        2

    1      3.333    0.000
    2     -3.519    0.000


MODEL RESULTS

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Latent Class 1

 U1       ON
    X1                 0.000      0.000    999.000    999.000
    X3                 0.000      0.000    999.000    999.000

 Intercepts
    U1               -15.000      0.000    999.000    999.000

Latent Class 2

 U1       ON
    X1                 0.634      0.049     12.837      0.000
    X3                 0.287      0.036      8.041      0.000

 Intercepts
    U1                 1.042      0.040     26.059      0.000

Categorical Latent Variables

 C#1        ON
    X1                 2.189      0.291      7.516      0.000
    X3                 0.961      0.172      5.580      0.000

 Intercepts
    C#1               -1.238      0.224     -5.517      0.000


QUALITY OF NUMERICAL RESULTS

     Condition Number for the Information Matrix              0.120E-01
       (ratio of smallest to largest eigenvalue)


LOGISTIC REGRESSION ODDS RATIO RESULTS

                                                95% C.I.
                    Estimate       S.E.  Lower 2.5% Upper 2.5%

Categorical Latent Variables

 C#1      ON
    X1                 8.928      2.600      5.044     15.800
    X3                 2.613      0.450      1.865      3.662


ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION

                                                    Two-Tailed
                    Estimate       S.E.  Est./S.E.    P-Value

Parameterization using Reference Class 1

 C#2      ON
    X1                -2.189      0.291     -7.516      0.000
    X3                -0.961      0.172     -5.580      0.000

 Intercepts
    C#2                1.238      0.224      5.517      0.000


ODDS RATIO FOR THE ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION

                                                95% C.I.
                    Estimate       S.E.  Lower 2.5% Upper 2.5%

Parameterization using Reference Class 1

 C#2      ON
    X1                 0.112      0.033      0.063      0.198
    X3                 0.383      0.066      0.273      0.536


TECHNICAL 1 OUTPUT


     PARAMETER SPECIFICATION FOR LATENT CLASS 1


           NU
              X1            X3
              ________      ________
                    0             0


           LAMBDA
              X1            X3
              ________      ________
 X1                 0             0
 X3                 0             0


           THETA
              X1            X3
              ________      ________
 X1                 0
 X3                 0             0


           ALPHA
              X1            X3
              ________      ________
                    0             0


           BETA
              X1            X3
              ________      ________
 X1                 0             0
 X3                 0             0


           PSI
              X1            X3
              ________      ________
 X1                 0
 X3                 0             0


     PARAMETER SPECIFICATION FOR LATENT CLASS 2


           NU
              X1            X3
              ________      ________
                    0             0


           LAMBDA
              X1            X3
              ________      ________
 X1                 0             0
 X3                 0             0


           THETA
              X1            X3
              ________      ________
 X1                 0
 X3                 0             0


           ALPHA
              X1            X3
              ________      ________
                    0             0


           BETA
              X1            X3
              ________      ________
 X1                 0             0
 X3                 0             0


           PSI
              X1            X3
              ________      ________
 X1                 0
 X3                 0             0


     PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
                    1             0


           GAMMA(C)
              X1            X3
              ________      ________
 C#1                2             3
 C#2                0             0


     PARAMETER SPECIFICATION FOR THE CENSORED/NOMINAL/COUNT MODEL PART


           NU(P) FOR LATENT CLASS 1
              U1#1          U1
              ________      ________
                    0             0


           KAPPA(P) FOR LATENT CLASS 1
              X1            X3
              ________      ________
 U1#1               0             0
 U1                 0             0


           NU(P) FOR LATENT CLASS 2
              U1#1          U1
              ________      ________
                    0             4


           KAPPA(P) FOR LATENT CLASS 2
              X1            X3
              ________      ________
 U1#1               0             0
 U1                 5             6


     STARTING VALUES FOR LATENT CLASS 1


           NU
              X1            X3
              ________      ________
                0.000         0.000


           LAMBDA
              X1            X3
              ________      ________
 X1             1.000         0.000
 X3             0.000         1.000


           THETA
              X1            X3
              ________      ________
 X1             0.000
 X3             0.000         0.000


           ALPHA
              X1            X3
              ________      ________
                0.000         0.000


           BETA
              X1            X3
              ________      ________
 X1             0.000         0.000
 X3             0.000         0.000


           PSI
              X1            X3
              ________      ________
 X1             0.535
 X3             0.000         0.487


     STARTING VALUES FOR LATENT CLASS 2


           NU
              X1            X3
              ________      ________
                0.000         0.000


           LAMBDA
              X1            X3
              ________      ________
 X1             1.000         0.000
 X3             0.000         1.000


           THETA
              X1            X3
              ________      ________
 X1             0.000
 X3             0.000         0.000


           ALPHA
              X1            X3
              ________      ________
                0.000         0.000


           BETA
              X1            X3
              ________      ________
 X1             0.000         0.000
 X3             0.000         0.000


           PSI
              X1            X3
              ________      ________
 X1             0.535
 X3             0.000         0.487


     STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART


           ALPHA(C)
              C#1           C#2
              ________      ________
                0.000         0.000


           GAMMA(C)
              X1            X3
              ________      ________
 C#1            0.000         0.000
 C#2            0.000         0.000


     STARTING VALUES FOR THE CENSORED/NOMINAL/COUNT MODEL PART


           NU(P) FOR LATENT CLASS 1
              U1#1          U1
              ________      ________
              -20.000       -15.000


           KAPPA(P) FOR LATENT CLASS 1
              X1            X3
              ________      ________
 U1#1           0.000         0.000
 U1             0.000         0.000


           NU(P) FOR LATENT CLASS 2
              U1#1          U1
              ________      ________
              -20.000         2.195


           KAPPA(P) FOR LATENT CLASS 2
              X1            X3
              ________      ________
 U1#1           0.000         0.000
 U1             0.000         0.000


TECHNICAL 8 OUTPUT


  INITIAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.16896387D+04    0.0000000    0.0000000  EM
              2 -0.92644708D+03  763.1916698    0.4516893  EM
              3 -0.77423935D+03  152.2077300    0.1642919  EM
              4 -0.74048448D+03   33.7548675    0.0435975  EM
              5 -0.73061703D+03    9.8674514    0.0133257  EM
              6 -0.72686283D+03    3.7541989    0.0051384  EM
              7 -0.72543992D+03    1.4229112    0.0019576  EM
              8 -0.72492901D+03    0.5109100    0.0007043  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.29240227D+04    0.0000000    0.0000000  EM
              2 -0.16438381D+04 1280.1845818    0.4378162  EM
              3 -0.10641878D+04  579.6502685    0.3526200  EM
              4 -0.86852541D+03  195.6624199    0.1838608  EM
              5 -0.77081249D+03   97.7129247    0.1125044  EM
              6 -0.73984556D+03   30.9669278    0.0401744  EM
              7 -0.73046985D+03    9.3757164    0.0126725  EM
              8 -0.72680289D+03    3.6669578    0.0050200  EM
              9 -0.72541771D+03    1.3851770    0.0019058  EM
             10 -0.72492125D+03    0.4964646    0.0006844  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.65284726D+04    0.0000000    0.0000000  EM
              2 -0.13246110D+04 5203.8616134    0.7971025  EM
              3 -0.85244489D+03  472.1661416    0.3564564  EM
              4 -0.75201491D+03  100.4299845    0.1178140  EM
              5 -0.73287913D+03   19.1357798    0.0254460  EM
              6 -0.72765453D+03    5.2245932    0.0071289  EM
              7 -0.72572510D+03    1.9294353    0.0026516  EM
              8 -0.72502877D+03    0.6963253    0.0009595  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.81477168D+04    0.0000000    0.0000000  EM
              2 -0.59427000D+04 2205.0167665    0.2706300  EM
              3 -0.39624676D+04 1980.2323766    0.3332210  EM
              4 -0.23176095D+04 1644.8581138    0.4151095  EM
              5 -0.12474631D+04 1070.1464198    0.4617458  EM
              6 -0.87090175D+03  376.5613313    0.3018617  EM
              7 -0.76309479D+03  107.8069578    0.1237877  EM
              8 -0.73719646D+03   25.8983262    0.0339385  EM
              9 -0.72939342D+03    7.8030448    0.0105848  EM
             10 -0.72638920D+03    3.0042159    0.0041188  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.90823136D+04    0.0000000    0.0000000  EM
              2 -0.73950622D+04 1687.2514053    0.1857733  EM
              3 -0.52608965D+04 2134.1656652    0.2885933  EM
              4 -0.32151440D+04 2045.7524919    0.3888601  EM
              5 -0.17735482D+04 1441.5958501    0.4483768  EM
              6 -0.10071538D+04  766.3944037    0.4321249  EM
              7 -0.78982669D+03  217.3271075    0.2157834  EM
              8 -0.74067858D+03   49.1481051    0.0622264  EM
              9 -0.73027957D+03   10.3990104    0.0140398  EM
             10 -0.72671715D+03    3.5624215    0.0048782  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.17833177D+04    0.0000000    0.0000000  EM
              2 -0.81734850D+03  965.9691729    0.5416697  EM
              3 -0.74152070D+03   75.8277991    0.0927729  EM
              4 -0.72989317D+03   11.6275287    0.0156807  EM
              5 -0.72653335D+03    3.3598237    0.0046032  EM
              6 -0.72531732D+03    1.2160294    0.0016737  EM
              7 -0.72488612D+03    0.4311989    0.0005945  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.10307417D+05    0.0000000    0.0000000  EM
              2 -0.56073161D+04 4700.1009965    0.4559921  EM
              3 -0.28431545D+04 2764.1616512    0.4929563  EM
              4 -0.13175847D+04 1525.5697630    0.5365765  EM
              5 -0.83517489D+03  482.4098472    0.3661319  EM
              6 -0.73349418D+03  101.6807020    0.1217478  EM
              7 -0.72510077D+03    8.3934098    0.0114430  EM
              8 -0.72477392D+03    0.3268564    0.0004508  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.55022752D+04    0.0000000    0.0000000  EM
              2 -0.30130241D+04 2489.2510452    0.4524040  EM
              3 -0.16863932D+04 1326.6309514    0.4402988  EM
              4 -0.10344771D+04  651.9161137    0.3865742  EM
              5 -0.82389659D+03  210.5804834    0.2035623  EM
              6 -0.75372994D+03   70.1666545    0.0851644  EM
              7 -0.73456676D+03   19.1631793    0.0254245  EM
              8 -0.72835662D+03    6.2101359    0.0084541  EM
              9 -0.72599290D+03    2.3637246    0.0032453  EM
             10 -0.72512476D+03    0.8681386    0.0011958  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.62104137D+04    0.0000000    0.0000000  EM
              2 -0.34071392D+04 2803.2745577    0.4513829  EM
              3 -0.18321862D+04 1574.9529922    0.4622509  EM
              4 -0.10171602D+04  815.0260096    0.4448380  EM
              5 -0.77727585D+03  239.8843283    0.2358373  EM
              6 -0.73021452D+03   47.0613338    0.0605465  EM
              7 -0.72554983D+03    4.6646874    0.0063881  EM
              8 -0.72491398D+03    0.6358558    0.0008764  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.58027413D+04    0.0000000    0.0000000  EM
              2 -0.32288733D+04 2573.8679572    0.4435607  EM
              3 -0.18709136D+04 1357.9597331    0.4205677  EM
              4 -0.11313880D+04  739.5255613    0.3952751  EM
              5 -0.86027548D+03  271.1125381    0.2396283  EM
              6 -0.76568066D+03   94.5948244    0.1099588  EM
              7 -0.73733768D+03   28.3429767    0.0370167  EM
              8 -0.72932881D+03    8.0088707    0.0108619  EM
              9 -0.72635575D+03    2.9730573    0.0040764  EM
             10 -0.72525489D+03    1.1008690    0.0015156  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.45067545D+04    0.0000000    0.0000000  EM
              2 -0.86719217D+03 3639.5622867    0.8075795  EM
              3 -0.75484788D+03  112.3442919    0.1295495  EM
              4 -0.73688874D+03   17.9591390    0.0237917  EM
              5 -0.72938138D+03    7.5073534    0.0101879  EM
              6 -0.72638477D+03    2.9966126    0.0041084  EM
              7 -0.72526560D+03    1.1191693    0.0015407  EM
              8 -0.72486819D+03    0.3974129    0.0005480  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.12436813D+05    0.0000000    0.0000000  EM
              2 -0.10381807D+05 2055.0061645    0.1652357  EM
              3 -0.68676435D+04 3514.1636215    0.3384925  EM
              4 -0.38074096D+04 3060.2339280    0.4456017  EM
              5 -0.18530423D+04 1954.3672290    0.5133063  EM
              6 -0.10457250D+04  807.3173593    0.4356713  EM
              7 -0.79406559D+03  251.6593800    0.2406554  EM
              8 -0.74033569D+03   53.7299037    0.0676643  EM
              9 -0.72981494D+03   10.5207429    0.0142108  EM
             10 -0.72651970D+03    3.2952482    0.0045152  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.35139537D+04    0.0000000    0.0000000  EM
              2 -0.91092192D+03 2603.0317777    0.7407701  EM
              3 -0.77381472D+03  137.1071997    0.1505148  EM
              4 -0.73957087D+03   34.2438478    0.0442533  EM
              5 -0.73041801D+03    9.1528685    0.0123759  EM
              6 -0.72678406D+03    3.6339488    0.0049752  EM
              7 -0.72541081D+03    1.3732477    0.0018895  EM
              8 -0.72491882D+03    0.4919911    0.0006782  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.55842956D+04    0.0000000    0.0000000  EM
              2 -0.11072736D+04 4477.0219213    0.8017165  EM
              3 -0.84278025D+03  264.4933909    0.2388690  EM
              4 -0.76110130D+03   81.6789439    0.0969161  EM
              5 -0.73405842D+03   27.0428801    0.0355312  EM
              6 -0.72791707D+03    6.1413548    0.0083663  EM
              7 -0.72581231D+03    2.1047556    0.0028915  EM
              8 -0.72505951D+03    0.7528066    0.0010372  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.70508403D+04    0.0000000    0.0000000  EM
              2 -0.84962746D+03 6201.2128754    0.8794998  EM
              3 -0.75336689D+03   96.2605672    0.1132974  EM
              4 -0.73577098D+03   17.5959126    0.0233564  EM
              5 -0.72890502D+03    6.8659601    0.0093317  EM
              6 -0.72620184D+03    2.7031797    0.0037085  EM
              7 -0.72519967D+03    1.0021713    0.0013800  EM
              8 -0.72484535D+03    0.3543215    0.0004886  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.18353228D+04    0.0000000    0.0000000  EM
              2 -0.10488648D+04  786.4580125    0.4285121  EM
              3 -0.79900687D+03  249.8579608    0.2382175  EM
              4 -0.73675696D+03   62.2499159    0.0779091  EM
              5 -0.72817920D+03    8.5777623    0.0116426  EM
              6 -0.72587695D+03    2.3022409    0.0031616  EM
              7 -0.72507919D+03    0.7977655    0.0010990  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.96192296D+04    0.0000000    0.0000000  EM
              2 -0.74293596D+04 2189.8699492    0.2276554  EM
              3 -0.49330489D+04 2496.3107370    0.3360062  EM
              4 -0.26073698D+04 2325.6790970    0.4714486  EM
              5 -0.13044908D+04 1302.8789369    0.4996909  EM
              6 -0.83761197D+03  466.8788756    0.3579012  EM
              7 -0.73682616D+03  100.7858053    0.1203252  EM
              8 -0.72629271D+03   10.5334515    0.0142957  EM
              9 -0.72515025D+03    1.1424667    0.0015730  EM
             10 -0.72482465D+03    0.3255990    0.0004490  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.46161454D+04    0.0000000    0.0000000  EM
              2 -0.73991081D+03 3876.2345862    0.8397124  EM
              3 -0.72867066D+03   11.2401544    0.0151912  EM
              4 -0.72599613D+03    2.6745217    0.0036704  EM
              5 -0.72511581D+03    0.8803263    0.0012126  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.62519591D+04    0.0000000    0.0000000  EM
              2 -0.74590531D+03 5506.0537410    0.8806925  EM
              3 -0.72627454D+03   19.6307720    0.0263180  EM
              4 -0.72508633D+03    1.1882067    0.0016360  EM
              5 -0.72480197D+03    0.2843566    0.0003922  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.80707798D+04    0.0000000    0.0000000  EM
              2 -0.60613104D+04 2009.4693821    0.2489808  EM
              3 -0.40010112D+04 2060.2992695    0.3399099  EM
              4 -0.24007266D+04 1600.2845391    0.3999700  EM
              5 -0.13663058D+04 1034.4208209    0.4308782  EM
              6 -0.92504370D+03  441.2621079    0.3229600  EM
              7 -0.78924182D+03  135.8018758    0.1468059  EM
              8 -0.74499010D+03   44.2517230    0.0560686  EM
              9 -0.73222670D+03   12.7634046    0.0171323  EM
             10 -0.72748323D+03    4.7434681    0.0064781  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20


   E STEP  ITER  LOGLIKELIHOOD    ABS CHANGE   REL CHANGE  ALGORITHM
              1 -0.38491737D+04    0.0000000    0.0000000  EM
              2 -0.98575840D+03 2863.4152798    0.7439039  EM
              3 -0.82985986D+03  155.8985383    0.1581509  EM
              4 -0.75199662D+03   77.8632434    0.0938270  EM
              5 -0.73332196D+03   18.6746626    0.0248334  EM
              6 -0.72783386D+03    5.4880997    0.0074839  EM
              7 -0.72579428D+03    2.0395752    0.0028023  EM
              8 -0.72505386D+03    0.7404212    0.0010202  EM


  FINAL STAGE ITERATIONS


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6


              8 -0.72477392D+03    0.3268564    0.0004508  EM
              9 -0.72469987D+03    0.0740458    0.0001022  EM
             10 -0.72467537D+03    0.0245045    0.0000338  EM
             11 -0.72466729D+03    0.0080815    0.0000112  EM
             12 -0.72466464D+03    0.0026495    0.0000037  EM
             13 -0.72466377D+03    0.0008656    0.0000012  EM
             14 -0.72466349D+03    0.0002822    0.0000004  EM
             15 -0.72466340D+03    0.0000919    0.0000001  EM
             16 -0.72466337D+03    0.0000299    0.0000000  EM
             17 -0.72466336D+03    0.0000097    0.0000000  EM
             18 -0.72466335D+03    0.0000032    0.0000000  EM
             19 -0.72466335D+03    0.0000010    0.0000000  EM
             20 -0.72466335D+03    0.0000003    0.0000000  EM
             21 -0.72466335D+03    0.0000001    0.0000000  EM
             22 -0.72466335D+03    0.0000000    0.0000000  EM
             23 -0.72466335D+03    0.0000000    0.0000000  EM
             24 -0.72466335D+03    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18


              5 -0.72480197D+03    0.2843566    0.0003922  EM
              6 -0.72470916D+03    0.0928185    0.0001281  EM
              7 -0.72467842D+03    0.0307340    0.0000424  EM
              8 -0.72466829D+03    0.0101334    0.0000140  EM
              9 -0.72466496D+03    0.0033240    0.0000046  EM
             10 -0.72466388D+03    0.0010865    0.0000015  EM
             11 -0.72466352D+03    0.0003544    0.0000005  EM
             12 -0.72466341D+03    0.0001154    0.0000002  EM
             13 -0.72466337D+03    0.0000376    0.0000001  EM
             14 -0.72466336D+03    0.0000122    0.0000000  EM
             15 -0.72466335D+03    0.0000040    0.0000000  EM
             16 -0.72466335D+03    0.0000013    0.0000000  EM
             17 -0.72466335D+03    0.0000004    0.0000000  EM
             18 -0.72466335D+03    0.0000001    0.0000000  EM
             19 -0.72466335D+03    0.0000000    0.0000000  EM
             20 -0.72466335D+03    0.0000000    0.0000000  EM
             21 -0.72466335D+03    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16


             10 -0.72482465D+03    0.3255990    0.0004490  EM
             11 -0.72471683D+03    0.1078138    0.0001487  EM
             12 -0.72468097D+03    0.0358602    0.0000495  EM
             13 -0.72466913D+03    0.0118449    0.0000163  EM
             14 -0.72466524D+03    0.0038888    0.0000054  EM
             15 -0.72466397D+03    0.0012717    0.0000018  EM
             16 -0.72466355D+03    0.0004149    0.0000006  EM
             17 -0.72466342D+03    0.0001352    0.0000002  EM
             18 -0.72466337D+03    0.0000440    0.0000001  EM
             19 -0.72466336D+03    0.0000143    0.0000000  EM
             20 -0.72466335D+03    0.0000047    0.0000000  EM
             21 -0.72466335D+03    0.0000015    0.0000000  EM
             22 -0.72466335D+03    0.0000005    0.0000000  EM
             23 -0.72466335D+03    0.0000002    0.0000000  EM
             24 -0.72466335D+03    0.0000001    0.0000000  EM
             25 -0.72466335D+03    0.0000000    0.0000000  EM
             26 -0.72466335D+03    0.0000000    0.0000000  EM


  TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14


              8 -0.72484535D+03    0.3543215    0.0004886  EM
              9 -0.72472406D+03    0.1212879    0.0001673  EM
             10 -0.72468339D+03    0.0406692    0.0000561  EM
             11 -0.72466992D+03    0.0134652    0.0000186  EM
             12 -0.72466550D+03    0.0044246    0.0000061  EM
             13 -0.72466405D+03    0.0014475    0.0000020  EM
             14 -0.72466358D+03    0.0004723    0.0000007  EM
             15 -0.72466343D+03    0.0001539    0.0000002  EM
             16 -0.72466338D+03    0.0000501    0.0000001  EM
             17 -0.72466336D+03    0.0000163    0.0000000  EM
             18 -0.72466335D+03    0.0000053    0.0000000  EM
             19 -0.72466335D+03    0.0000017    0.0000000  EM
             20 -0.72466335D+03    0.0000006    0.0000000  EM
             21 -0.72466335D+03    0.0000002    0.0000000  EM
             22 -0.72466335D+03    0.0000001    0.0000000  EM
             23 -0.72466335D+03    0.0000000    0.0000000  EM
             24 -0.72466335D+03    0.0000000    0.0000000  EM


     Beginning Time:  23:13:09
        Ending Time:  23:13:10
       Elapsed Time:  00:00:01



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