Understanding regression analysis
- 作者: Allen, Michael Patrick.
- 出版: New York : Plenum Press ©1997.
- 稽核項: 1 online resource (ix, 216 pages) :illustrations.
- 標題: Probability & StatisticsRegression Analysis. , Structural equation modeling. , Regression analysis. , MATHEMATICS Probability & Statistics -- Regression Analysis. , Electronic books. , MATHEMATICS , Matrices. , Statistics.
- ISBN: 0585256578 , 9780585256573
- ISBN: 9780306456480 , 0306456486
- 試查全文@TNUA:
- 附註: Includes bibliographical references (pages 210-212) and index.
- 摘要: Proceeding on the assumption that it is possible to develop a sufficient understanding of this technique without resorting to mathematical proofs and statistical theory, Understanding Regression Analysis explores Descriptive statistics using vector notation and the components of a simple regression model; the logic of sampling distributions and simple hypothesis testing; the basic operations of matrix algebra and the properties of the multiple regression model; the testing of compound hypotheses and the application of the regression model to the analysis of variance and covariance; and structural equation models and influence statistics. , This user-friendly text encourages an intuitive grasp of regression analysis by deferring issues of statistical inference until the reader has gained some experience with the purely descriptive properties of the regression model. It is an excellent, practical guide for advanced undergraduate and postgraduate students in social science courses covering sociology, political science, anthropology, and psychology, and a worthwhile primer for researchers and policy analysts with no formal training in statistics.
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=34594
- 系統號: 005290238
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
By assuming it is possible to understand regression analysis without fully comprehending all its underlying proofs and theories, this introduction to the widely used statistical technique is accessible to readers who may have only a rudimentary knowledge of mathematics. Chapters discuss: -descriptive statistics using vector notation and the components of a simple regression model; -the logic of sampling distributions and simple hypothesis testing; -the basic operations of matrix algebra and the properties of the multiple regression model; -testing compound hypotheses and the application of the regression model to the analyses of variance and covariance, and -structural equation models and influence statistics.
來源: Google Book
來源: Google Book
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