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Regression Analysis and its Application
ISBN-13:
9781351419291
Veröffentl:
2018
Seiten:
424
Autor:
Richard F. Gunst
eBook Typ:
EPUB
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
Beschreibung:
Providing a better understanding of classical regression analysis, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. It presents regression analysis in the general context of data analysis. Using a teach-by-example format, the text 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, biased regression estimators, data collection, model assumptions, and the interpretation of parameter estimates.
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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