| 書目名稱 | The Nature of Statistical Evidence |
| 編輯 | Bill Thompson |
| 視頻video | http://file.papertrans.cn/915/914609/914609.mp4 |
| 概述 | This book has substantial implications for all users of Statistical methods |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | Our motivation for writing this book was a dissatisfaction with the many books with titles hke Foundations of Statistics. These books provide a needed description of the subject with examples of various statistical methods; but they do not satisfy the discerning reader because they do not explain why certain conclusions may be drawn from certain data and they do not discuss how statistics, the subject, meshes with the scientific process. We naively set out to fill in these gaps, but the situation is not so simple. What is desired is a tool—the one true statistics—which can be applied to data with certainty to justify conclusions, but what is available, in fact, are various competing theories of statistics. The careful reader may correctly point out the relation of this manuscript to po- modem epistemology, a philosophy which emphasizes that all human knowing—in fields as diverse as religion and science—is culture dependent and that therefore "truth" is not absolute. Take, for example, the "truths" of Christianity and Islam— wars have been fought over their differences. In the field of statistics there are, for example, Bayesians and sampling theorists. Carson (2003) states, "Surely |
| 出版日期 | Book 2007 |
| 關(guān)鍵詞 | bayesian statistics; evidence; experimental science; p-values; probability |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-0-387-40054-9 |
| isbn_softcover | 978-0-387-40050-1 |
| isbn_ebook | 978-0-387-40054-9Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer-Verlag New York 2007 |
|Archiver|手機版|小黑屋|
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