The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets. The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. In addition, an introduction to the theory of resampling methods such as the bootstrap is developed. The sections on multiple testing and goodness of fit testing are expanded. The text is suitable for Ph.D. students in statistics and includes over 300 new problems out of a total of more than 760.
具體描述
讀後感
評分
評分
評分
評分
用戶評價
假設檢驗理論入門
评分假設檢驗理論入門
评分假設檢驗理論入門
评分假設檢驗理論入門
评分讀它，我真是找虐~
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