Random effects in generalized linear models and the em algoritham

References

• Aitkin , M. 1981 . Statistical modelling of data on teaching styles . J roy statist soc a , 144 : 419 – 461 .
   Web of Science ®Google Scholar
• Alvey , N. 1977 . Genstat , Oxford : Numerical Algorithms Group. .
   Google Scholar
• Anderson , D.A. 1987 . Some models for over-dispersed binomial data . Australian Journal oj Statzutics. ,
   Google Scholar
• Anderson , D.A. and Aitkin , M.A. 1985 . Variance component models with binary response : Interviewer variability . J. Roy. Statist. Soc , 47 : 203 – 210 .
   Google Scholar
• Bock , D. and Aitkin , M. 1981 . Marginal maximum likelihood estimation of item parai~eters : Application of an EM algorithm . Psychometrika , 46 : 443 – 459 .
   Web of Science ®Google Scholar
• Brilliger , D.R. and Presisler , M.K. 1983 . “ Maximum likelihood estimation in a latrnt variable problem ” . In in studies in econometrics time series and multivariate statistics , Edited by: Karlin , S. , Amemiya , T. and Goodman , L.A. 31 – 35 . new york : Acadamic press .
   Google Scholar
• Dempster , A.P. , Laird , N.M. and Rubin , D.B. 1977 . maximum likelihood estimation from incomplete data via the em aigoritham . J.Roy.Statist sac b , 39 : 1 – 38 .
   Google Scholar
• GLIM. The GLIM System release 3.77 Manual Oxford:Numerical algorithms Group 1985
   Google Scholar
• Hinde , J.P. 1982 . “ Compound Poisson regression models ” . In In GLLM 82, , Edited by: Gilehrist , R. NewYork : Springer Verlag. .
   Google Scholar
• Laird , N. 1978 . Nonparamctric maximum iikeiihood estinlation of a mix . J.Amer.Statist soc , 73 : 805 – 811 .
   Web of Science ®Google Scholar
• Loius , T.A. 1987 . a generalized linear model with strats of variation . j roy statist soc , 44 : 226 – 233 .
   Google Scholar
• Morton , R. 1987 . A generalized linear model with stration of variation . biometrika , 74 : 247 – 257 .
   Web of Science ®Google Scholar
• Nelder , J.A. and Wedderburn , R.W.M. 1972 . Generalized linear models . j roy statist soc , 135 : 370 – 384 .
   Google Scholar
• Redner , R. A. and Walker , H.F. 1984 . Mixture densities, maximum likeli- hod and the EM algorithm . Siam Review , 26 : 195 – 239 .
   Web of Science ®Google Scholar
• Sahai , M. 1979 . A bibliography on variance componcnts . international Statistical review , 7 : 177 – 222 .
   Google Scholar
• Stroud , A.H. and Sechrest , D. 1966 . Gaussian Quadratture ,formulas Englewood cliffs , prentics hall .
   Google Scholar
• Thompson, , R. "Maximum likelihood estimatioon of variance com- ponents . Math. Operationsforsch. Statist. Ser. Statistics, , 11 545 – 561 .
   Google Scholar
• Jeff , Wu C.F. 1983 . On the convergence properties of the E-Tvl algo- rithm . Ann. Statist., , 11 : 995 – 105 .
   Google Scholar