In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses.
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Cox被誉为现代统计学之父，这本书有综述性质，语言流畅，涵盖面广，可以在学习完高等统计学之后阅读本书作为回顾。但综述有两点不好，一是过于泛泛缺少细节，二是难以涵盖所有领域和相关批评。
评分Cox被誉为现代统计学之父，这本书有综述性质，语言流畅，涵盖面广，可以在学习完高等统计学之后阅读本书作为回顾。但综述有两点不好，一是过于泛泛缺少细节，二是难以涵盖所有领域和相关批评。
评分Cox被誉为现代统计学之父，这本书有综述性质，语言流畅，涵盖面广，可以在学习完高等统计学之后阅读本书作为回顾。但综述有两点不好，一是过于泛泛缺少细节，二是难以涵盖所有领域和相关批评。
评分Cox被誉为现代统计学之父，这本书有综述性质，语言流畅，涵盖面广，可以在学习完高等统计学之后阅读本书作为回顾。但综述有两点不好，一是过于泛泛缺少细节，二是难以涵盖所有领域和相关批评。
评分Cox被誉为现代统计学之父，这本书有综述性质，语言流畅，涵盖面广，可以在学习完高等统计学之后阅读本书作为回顾。但综述有两点不好，一是过于泛泛缺少细节，二是难以涵盖所有领域和相关批评。
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