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Introduction to Linear Regression Analysis.
Abstract
Preface. Introduction. Simple Linear Regression. Multiple Linear Regression. Model Adequacy Checking. Transformations and Weighting to Correct Model Inadequacies. Diagnostics for Leverage and Influence. Polynomial Regression Models. Indicator Variables. Variable Selection and Model Building. Multicollinearity. Robust Regression. Introduction to Nonlinear Regression. Generalized Linear Models. Other Topics in the Use of Regression Analysis. Validation of Regression Models. Appendix A. Statistical Tables. Appendix B. Data Sets for Exercises. Appendix C. Supplemental Technical Material. References. Index.
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Metadata
- Authors
- Assuncao, R., Sampson, P. D., Montgomery, D. C., & Peck, E. A.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1993-03
- Volume
- 88
- Issue
- 421
- Pages
- 383
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2797532987
- Cited by
- 5,388
- References
- 0
- FWCI
- 84.73
- Type
- journal article
- Language
- en
- Open access
- closed
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