Thursday 8/14/1997 14: 1:39 Normal linear univariate probit model <<< Model specification read from file pri97 <<< Data read from file ../../fakedat/probit/set2 Number of variables read from file: 4 Number of observations in file: 5000 Observations used for sample: 1 - 1000 Col Minimum Maximum Mean Stan. dev. First Last 1 -3.3608E+00 3.1646E+00 -1.5252E-02 1.0236E+00 2.4693E+00 2.2423E-01 2 -1.3146E+00 4.8874E+00 1.9228E+00 1.0373E+00 2.0928E+00 4.0537E+00 3 -1.5560E+00 4.5015E+00 1.4487E+00 1.0326E+00 1.2344E+00 3.1696E+00 4 0.0000E+00 1.0000E+00 5.0100E-01 5.0000E-01 1.0000E+00 0.0000E+00 First observation (t1): 1 Last observation (t2): 1000 Number of explanatory variabiles (k): 3 Dependent variable column: 4 Explanatory variable columns: 1 2 3 Gaussian prior for covariate coefficients Parameter Prior mean Prior s.d. Prior prec. Initial value 1 0.000000E+00 3.162278E+00 1.000000E-01 -4.111202E+00 2 0.000000E+00 3.162278E+00 1.000000E-01 1.709730E+00 3 0.000000E+00 3.162278E+00 1.000000E-01 2.368510E-01 Prior correlation matrix 1 2 3 1 1.000 2 0.000 1.000 3 0.000 0.000 1.000 Normalized prior precision matrix 1 2 3 1 1.000 2 0.000 1.000 3 0.000 0.000 1.000 Organization of simulation vector Covariate coefficient vector: 1 Markov chain Monte Carlo posterior simulation Parameters written in each record: 3 Iterations: 2000 Skips between iterations: 0 >>> Posterior simulation matrix written to file sim97 Iterations completed: 2000 CPU time: 81.2906 CPU time per iteraton: 0.0406 Thursday 8/14/1997 14: 4:37