Bayesian Inference in Statistical Analysis
Bayesian Inference in Statistical Analysis
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DOI：
10.1080/00401706.1974.10489222
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发表时间：
1974-08
期刊：
影响因子：
2.5
通讯作者：
B. Hill
中科院分区：
文献类型：
--
作者：
B. Hill
近似值，削弱假设的结果或关系对可靠性的影响。对于每一个程序，这是完全覆盖，一个数值例子是通过工作和几个问题，所有代表数据从实际实验中，给出。有45个例子和126个问题。然而，并不是每个例子都给出了新的数据，有些问题更多的是理论上的而不是应用上的。大约有40种实际数据情况，在各个科学中分布不均匀。事实上，所描述的实验中几乎有一半来自生物医学领域。这类实验经常涉及其他领域的科学家不熟悉的术语、过程和物质，因此，相关领域以外的读者对此兴趣不大。社会科学和行为科学的代表性相对较差，但非参数统计方法对这些实验者特别有用。问题和例子的数量相对较少，代表性较窄，再加上没有给出任何问题的答案，这大大降低了本书作为通用手册和教科书的实用性。本书的主要困难是将定义归入附录中的术语表。如果在文本中定义诸如渐近相对效率或测试的一致性之类的概念，则阅读将大大简化，这些概念可能对大多数目标受众来说是陌生的。除此之外，应在文本中使用一些符号，以表明正在引入一个新术语，并在术语表中进行解释。虽然术语表给出了本书中大多数术语定义的用法示例（带页码），但文本中没有采用术语表的参考系统。
BOOK REVIEWS approximations, the consequence of weakening the assumptions or the effect of ties on reliability. For each procedure which is fully covered, one numerical example is worked through and a few problems, all representing data from actual experiments, are given. There are approximately 45 examples and 126 problems. However, new data are not given for each example, and some problems are more theoretical than applied. There are about 40 actual data situations, rather unevenly distributed among the various sciences. In fact, almost half of the experiments described are from the biomedical area. Such experiments frequently involve terms, processes and substances that are unfamiliar to scientists in other areas, and thus elicit little interest from readers outside the relevant field. The social and behavioral sciences are relatively poorly represented, and yet nonparametric statistical methods are particularly useful to such experimenters. The relatively small number and narrow representation of problems and examples, plus the fact that no answers are given for any problems, detract considerably from the book’s usefulness as a general handbook and textbook.The major difficulty with the book is the relegation of definitions to the Glossary in the Appendix. Reading would be greatly simplified if concepts such as asymptotic relative efficiency or consistency of a test, probably unfamiliar terms to most members of the intended audience, were defined in the text. Barring that, some symbol should be used in the text to indicate that a new term is being introduced and it is explained in the Glossary. While the Glossary gives an example (with page number) of usage in this book for most terms defined, no system of reference to the Glossary is adopted in the text.