THE COMPUTED VALUE OF THE CONSTANT KSLOC = -0.4067516E+00 THE COMPUTED VALUE OF THE CONSTANT KSSCALE = 0.1121951E+02 KOLMOGOROV-SMIRNOV GOODNESS-OF-FIT TEST NULL HYPOTHESIS H0: DISTRIBUTION FITS THE DATA ALTERNATE HYPOTHESIS HA: DISTRIBUTION DOES NOT FIT THE DATA DISTRIBUTION: LOGISTIC-EXPONENTIAL NUMBER OF OBSERVATIONS = 200 TEST: KOLMOGOROV-SMIRNOV TEST STATISTIC = 0.3711542E-01 ALPHA LEVEL CUTOFF CONCLUSION 10% 0.086* ACCEPT H0 0.085** 5% 0.096* ACCEPT H0 0.095** 1% 0.115* ACCEPT H0 0.114** * - STANDARD LARGE SAMPLE APPROXIMATION ( C/SQRT(N) ) ** - MORE ACCURATE LARGE SAMPLE APPROXIMATION ( C/SQRT(N + SQRT(N/10)) ) LOGISTIC-EXPONENTIAL PARAMETER ESTIMATION: FULL SAMPLE CASE TWO-PARAMETER MODEL (LOCATION = 0) SUMMARY STATISTICS: NUMBER OF OBSERVATIONS = 200 SAMPLE MEAN = 8.171047 SAMPLE STANDARD DEVIATION = 4.589424 SAMPLE MINIMUM = 0.4414481 SAMPLE MAXIMUM = 26.37044 MAXIMUM LIKELIHOOD ESTIMATES: SHAPE PARAMETER (BETA) = 2.118914 SCALE (1/ALPHA) PARAMETER = 10.54572 THE COMPUTED VALUE OF THE CONSTANT BETA = 0.2118914E+01 THE COMPUTED VALUE OF THE CONSTANT KSLOC = 0.0000000E+00 THE COMPUTED VALUE OF THE CONSTANT KSSCALE = 0.1054572E+02 KOLMOGOROV-SMIRNOV GOODNESS-OF-FIT TEST NULL HYPOTHESIS H0: DISTRIBUTION FITS THE DATA ALTERNATE HYPOTHESIS HA: DISTRIBUTION DOES NOT FIT THE DATA DISTRIBUTION: LOGISTIC-EXPONENTIAL NUMBER OF OBSERVATIONS = 200 TEST: KOLMOGOROV-SMIRNOV TEST STATISTIC = 0.3192246E-01 ALPHA LEVEL CUTOFF CONCLUSION 10% 0.086* ACCEPT H0 0.085** 5% 0.096* ACCEPT H0 0.095** 1% 0.115* ACCEPT H0 0.114** * - STANDARD LARGE SAMPLE APPROXIMATION ( C/SQRT(N) ) ** - MORE ACCURATE LARGE SAMPLE APPROXIMATION ( C/SQRT(N + SQRT(N/10)) )