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Measurement Errors in Surveys (Wiley Series in Probability and Statistics) -
作者:Biemer, Paul P. (EDT)/ Groves, Robert M./ Lyberg, Lars E./ Mathiowetz, Nancy A./ Sudman, Seymour
Biemer, Paul P. (EDT)/ Groves, Robert M./ Lyberg, Lars E./ Mathiowetz, Nancy A./ Sudman, Seymour
人物简介:
Measurement Errors in Surveys (Wiley Series in Probability and Statistics)书籍相关信息
- ISBN:9780471692805
- 作者:Biemer, Paul P. (EDT)/ Groves, Robert M./ Lyberg, Lars E./ Mathiowetz, Nancy A./ Sudman, Seymour
- 出版社:Wiley-Interscience
- 出版时间:2004-08-24
- 页数:760
- 价格:USD 128.00
- 纸张:暂无纸张
- 装帧:Paperback
- 开本:暂无开本
- 语言:暂无语言
- 丛书:Wiley Series in Probability and Statistics
- 适合人群:Researchers in Statistics, Data Analysts, Social Scientists, Market Researchers, Survey Methodologists, Graduate Students in Statistics, anyone involved in quantitative research and data analysis
- TAG:Probability Theory / Research Methods / Statistical Analysis / Data Collection / Wiley Series / Survey Methodology / Error Analysis / Statistical Error
- 豆瓣评分:暂无豆瓣评分
- 更新时间:2025-05-17 00:08:00
内容简介:
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. "This book will be an aid to survey statisticians and to research workers who must work with survey data." -Short Book Reviews, International Statistical Institute Measurement Errors in Surveys documents the current state of the field, reports new research findings, and promotes interdisciplinary exchanges in modeling, assessing, and reducing measurement errors in surveys. Providing a fundamental approach to measurement errors, the book features sections on the questionnaire, respondents and responses, interviewers and other means of data collection, the respondent-interviewer relationship, and the effects of measurement errors on estimation and data analysis.