| 書目名稱 | The Inverse Gaussian Distribution |
| 副標題 | Statistical Theory a |
| 編輯 | V. Seshadri |
| 視頻video | http://file.papertrans.cn/913/912384/912384.mp4 |
| 叢書名稱 | Lecture Notes in Statistics |
| 圖書封面 |  |
| 描述 | This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the book by Chhikara and Folks, a considerable number of publications in both theory and applications of the inverse Gaussian law have emerged thereby justifying the need for a comprehensive treatment of the issues involved. This book is divided into two sections and fills up the gap updating the material found in the book of Chhikara and Folks. Part I contains seven chapters and covers distribution theory, estimation, significance tests, goodness-of-fit, sequential analysis and compound laws and mixtures. The first part forms the backbone of the theory and wherever possible I have provided illustrative examples for easy assimilation of the theory. The second part is devoted to a wide range of applications from various disciplines. The applied statistician will find numerous instances of examples which pertain to a first passage time situation. It is indeed remarkable that in the fields of li |
| 出版日期 | Book 1999 |
| 關(guān)鍵詞 | Area; Gaussian distribution; Mathematica; Meteor; Statistica; Survival analysis; demography; distribution; e |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4612-1456-4 |
| isbn_softcover | 978-0-387-98618-0 |
| isbn_ebook | 978-1-4612-1456-4Series ISSN 0930-0325 Series E-ISSN 2197-7186 |
| issn_series | 0930-0325 |
| copyright | Springer Science+Business Media New York 1999 |
|Archiver|手機版|小黑屋|
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