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Elements of Frequentist Inference,This chapter discusses fundamental concepts of frequentist inference, such as unbiasedness and consistency, standard errors and confidence intervals, significance tests and P-values. There is also a section on the bootstrap method. Exercises are given at the end.strain 发表于 2025-3-26 03:30:11
Likelihood Inference in Multiparameter Models,The concepts described in Chap. . are now extended to multiparameter models. The concept of profile likelihood is introduced as well as the generalized likelihood ratio statistic. The conditional likelihood, an alternative way to eliminate a nuisance parameter, is discussed. Exercises are given at the end.Ingratiate 发表于 2025-3-26 06:22:29
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Bayesian Inference,ian point and interval estimates. Bayesian inference in multiparameter models is discussed and some results from Bayesian asymptotics are described. Finally, empirical Bayes methods are described, completed by a number of exercises at the end.altruism 发表于 2025-3-26 19:04:44
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