Bayesian and Likelihood Methods in Statistics and Econometrics: Essays in Honor of George A. Barnard
North-Holland, 1990 - Business & Economics - 500 pages
This volume is dedicated to Professor George A. Barnard, an internationally acclaimed statistician, who is renowned not only for his statistical expertise but also for his broad knowledge of the history of statistics and its relation to the philosophy of science and applications in many fields of natural, biological and social science. The papers in this volume treat a broad spectrum of topics ranging from theoretical inference to applied forecasting and computation, which reflects George Barnard's wide ranging interest in, and work on, theoretical and applied statistical problems.
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SELECTED INFERENCE PROBLEMS
The Editors Introduction
Publications of George A Barnard
21 other sections not shown
alternative American Statistical Association applied approximation argument assessment Barnard Bayes estimators Bayesian analysis Bayesian and Likelihood Bayesian approach Bayesian Inference belief function Berger Bernoulli beta distribution coefficients computed conditional consider D.V. Lindley DeGroot denote depend discussion equation error evaluate evidence example factor fiducial Fienberg Finetti finite Fisher focal elements forecast Geisser given Hill hypothesis integration Journal Kadane Laplace Laplace approximation likelihood function likelihood principle Lindley linear loss function marginal posterior Mathematical matrix multicollinearity multivariate nonconglomerability normal distribution North-Holland null observations obtained P-value paper parameters possible post-data post-trial posterior density posterior distribution posterior mean posterior odds posterior probability pre-data predictive distribution prior density prior distribution prior information prior probability problem procedure regression Royal Statistical Society sample secretor Section selection sequential significance tests specific Statistical Inference statistician Statistics and Econometrics Table Theorem theory unconditional variance vector Zellner