| 书目名称 | Complex Surveys | | 副标题 | Analysis of Categori | | 编辑 | Parimal Mukhopadhyay | | 视频video | | | 概述 | Provides a systematic exposition of the development of complex survey theory.Presents the analysis of categorical data using a full model, log-linear model and logistic regression model.Indicates new | | 图书封面 |  | | 描述 | The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. .The importance of sample surveys today cannot be overstated. From voters’ behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex surveydesigns like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed – an assumption on which the classical procedures of inference are based. This means tha | | 出版日期 | Book 2016 | | 关键词 | Survey Sampling; Superpopulation Models; Variance Estimation; Categorical Data; Full Model; Log-linear Mo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-0871-9 | | isbn_softcover | 978-981-10-9272-5 | | isbn_ebook | 978-981-10-0871-9 | | copyright | Springer Science+Business Media Singapore 2016 |
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发表于 2025-3-21 19:32:38
