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Summary
Richard Berk identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
Read More ↓Titles
- Full Title: Regression analysis : a constructive critique/ Richard A. Berk.
Series Statement
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Notes
- Includes bibliographical references (pages 239-250) and index.
- Cover; Contents; Series Editor's Introduction; Preface; Chapter 1 -- Prologue: Regression Analysis as Problematic; Chapter 2 -- A Grounded Introduction to Regression Analysis; Chapter 3 -- Simple Linear Regression; Chapter 4 -- Statistical Inference for Simple Linear Regression; Chapter 5 -- Causal Inference for the Simple Linear Model; Chapter 6 -- The Formalities of Multiple Regression; Chapter 7 -- Using and Interpreting Multiple Regression; Chapter 8 -- Some Popular Extensions of Multiple Regression; Chapter 9 -- Some Regression Diagnostics; Chapter 10 -- Further Extensions of Regression Analysis.
- Chapter 11 -- What to DoReferences; Index; About the Author.
- Specialized.
- English.
Identifiers
- Isbns: 1483348830; 9781483348834; 1452244863; 9781452244860; 0761929045; 9780761929048
- Oclc Number: (OCoLC)1058040358
Publication Statement
- Place: Thousand Oaks [Calif.] ; London
- Publisher: SAGE
- Date: 2004
Physical Description
- Extent: 1 online resource (281 pages)
Table Of Contents
- Cover; Contents; Series Editor's Introduction; Preface; Chapter 1 -- Prologue: Regression Analysis as Problematic; Chapter 2 -- A Grounded Introduction to Regression Analysis; Chapter 3 -- Simple Linear Regression; Chapter 4 -- Statistical Inference for Simple Linear Regression; Chapter 5 -- Causal Inference for the Simple Linear Model; Chapter 6 -- The Formalities of Multiple Regression; Chapter 7 -- Using and Interpreting Multiple Regression; Chapter 8 -- Some Popular Extensions of Multiple Regression; Chapter 9 -- Some Regression Diagnostics; Chapter 10 -- Further Extensions of Regression Analysis.
- Chapter 11 -- What to DoReferences; Index; About the Author.
Summary
- Richard Berk identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
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