Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference

Stephen M. Stigler

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Chapter 5. Regression

Multivariate Analysis, Bayesian Inference, and Causal Inference

Stephen M. Stigler

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This chapter is in the book The Seven Pillars of Statistical Wisdom

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Stigler, Stephen M.. "Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference". The Seven Pillars of Statistical Wisdom, Cambridge, MA and London, England: Harvard University Press, 2016, pp. 107-148. https://doi.org/10.4159/9780674970199-006

Stigler, S. (2016). Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference. In The Seven Pillars of Statistical Wisdom (pp. 107-148). Cambridge, MA and London, England: Harvard University Press. https://doi.org/10.4159/9780674970199-006

Stigler, S. 2016. Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference. The Seven Pillars of Statistical Wisdom. Cambridge, MA and London, England: Harvard University Press, pp. 107-148. https://doi.org/10.4159/9780674970199-006

Stigler, Stephen M.. "Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference" In The Seven Pillars of Statistical Wisdom, 107-148. Cambridge, MA and London, England: Harvard University Press, 2016. https://doi.org/10.4159/9780674970199-006

Stigler S. Chapter 5. Regression: Multivariate Analysis, Bayesian Inference, and Causal Inference. In: The Seven Pillars of Statistical Wisdom. Cambridge, MA and London, England: Harvard University Press; 2016. p.107-148. https://doi.org/10.4159/9780674970199-006

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Chapters in this book

Frontmatter i
Contents vii
Introduction 1
Chapter 1. Aggregation 13
Chapter 2. Information 45
Chapter 3. Likelihood 63
Chapter 4. Intercomparison 87
Chapter 5. Regression 107
Chapter 6. Design 149
Chapter 7. Residual 171
Conclusion 195
Notes 205
References 211
Acknowledgments 225
Index 227

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https://doi.org/10.4159/9780674970199-006

Chapters in this book

Frontmatter i
Contents vii
Introduction 1
Chapter 1. Aggregation 13
Chapter 2. Information 45
Chapter 3. Likelihood 63
Chapter 4. Intercomparison 87
Chapter 5. Regression 107
Chapter 6. Design 149
Chapter 7. Residual 171
Conclusion 195
Notes 205
References 211
Acknowledgments 225
Index 227

Chapter 5. Regression

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Chapters in this book

Chapters in this book

Chapters in this book