Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 39, No. 1 (1990), pp. 3-9 (7 pages) A mixed nested design with first order stationary autoregressive errors is considered.

Lecture Notes-Monograph Series, Vol. 37, Selected Proceedings of the Symposium on Inference for Stochastic Processes (2001), pp. 281-295 (15 pages) The use of the pseudo-likelihood estimator for Gibbs ...

An algorithm for the computation of a maximum likelihood estimate of the offspring distribution in a Bienaymé-Galton-Watson branching process is presented. Although the offspring distribution in ...

Mixed model analyses via restricted maximum likelihood, fitting the so-called animal model, have become standard methodology for the estimation of genetic variances. Models involving multiple genetic ...

Maximum likelihood estimation of the parameters of a statistical model involves maximizing the likelihood or, equivalently, the log likelihood with respect to the parameters. The parameter values at ...

Examines point and confidence interval estimation. Principles of maximum likelihood, sufficiency, and completeness; tests of simple and composite hypotheses, linear models, and multiple regression ...