書目名稱 | Extremal Families and Systems of Sufficient Statistics |
編輯 | Steffen L. Lauritzen |
視頻video | http://file.papertrans.cn/321/320011/320011.mp4 |
叢書名稱 | Lecture Notes in Statistics |
圖書封面 |  |
描述 | The pOint of view behind the present work is that the connection between a statistical model and a statistical analysis-is a dua- lity (in a vague sense). In usual textbooks on mathematical statistics it is often so that the statistical model is given in advance and then various in- ference principles are applied to deduce the statistical ana- lysis to be performed. It is however possible to reverse the above procedure: given that one wants to perform a certain statistical analysis, how can this be expressed in terms of a statistical model? In that sense we think of the statistical analysis and the stati- stical model as two ways of expressing the same phenomenon, rather than thinking of the model as representing an idealisation of "truth" and the statistical analysis as a method of revealing that truth to the scientist. It is not the aim of the present work to solve the problem of giving the correct-anq final mathematical description of the quite complicated relation between model andanalysis. We have rather restricted ourselves to describe a particular aspect of this, formulate it in mathematical terms, and then tried to make a rigorous and consequent investigation of that mathem |
出版日期 | Book 1988 |
關(guān)鍵詞 | Likelihood; Maxima; mathematical statistics; statistical model; statistics |
版次 | 1 |
doi | https://doi.org/10.1007/978-1-4612-1023-8 |
isbn_softcover | 978-0-387-96872-8 |
isbn_ebook | 978-1-4612-1023-8Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
issn_series | 0930-0325 |
copyright | Springer-Verlag Berlin Heidelberg 1988 |