| 书目名称 | Statistical Methods for Ranking Data |
| 编辑 | Mayer Alvo,Philip L.H. Yu |
| 视频video | |
| 概述 | Contains a unified treatment of both inference and modeling for ranking data.Contains comprehensive software to enable the practitioner to access the methods.Contains illustrative data sets and exerci |
| 丛书名称 | Frontiers in Probability and the Statistical Sciences |
| 图书封面 |  |
| 描述 | .This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of distance functions and the notion of compatibility is introduced to deal with incomplete data. Ranking data are also modeled using a variety of modern tools such as CART, MCMC, EM algorithm and factor analysis..This book deals with statistical methods used for analyzing such data and provides a novel and unifying approach for hypotheses testing. The techniques described in the book are illustrated with examples and the statistical software is provided on the authors’ website.. |
| 出版日期 | Book 2014 |
| 关键词 | Block designs; Exploratory data analysis; Missing and tied data; Probabilistic and statistical modeling |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4939-1471-5 |
| isbn_softcover | 978-1-4939-4781-2 |
| isbn_ebook | 978-1-4939-1471-5Series ISSN 2624-9987 Series E-ISSN 2624-9995 |
| issn_series | 2624-9987 |
| copyright | Springer Science+Business Media New York 2014 |
发表于 2025-3-21 17:58:20
