Regression analysis and its application : a data-oriented approach

書誌事項

Regression analysis and its application : a data-oriented approach

Richard F. Gunst, Robert L. Mason

(Statistics : textbooks and monographs, v. 34)

M. Dekker, c1980

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注記

Bibliography: p. 389-397

Includes index

内容説明・目次

内容説明

Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates.Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book.

目次

1. Introduction 2. Initial Data Exploration 3. Single-Variable Least Squares 4. Mul Tip Le-V Ariable Preliminaries 5. Multiple-Variable Least Squares 6. Inference 7. Residual Analysis 8. Variable Selection Techniques 9. Multicollinearity Effects 10. Biased Regression Estimators

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詳細情報

  • NII書誌ID(NCID)
    BA03721614
  • ISBN
    • 0824769937
  • LCCN
    80018101
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    New York
  • ページ数/冊数
    xiv, 402 p.
  • 大きさ
    24 cm
  • 分類
  • 件名
  • 親書誌ID
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