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golberg m cho h introduction regression analysis 2010

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Textbook in PDF format This book is an introduction to regression analysis for upper division and graduate students in science, engineering, social science and medicine. The emphasis is on the classical linear regression diagnostics, ridge and logistic regression are treated as well. In contrast to other books at this level, the theoretical foundation of the subject is presented in some detail based on extensive use of matrix algebra. throughout the text, model building and evaluation are emphasized and illustrated with many numerical examples. Preface Introduction Some Basic Results in Probability and Statistics Simple Linear Regression Random Vectors and Matrix Algebra Multiple Regression Residuals, Diagnostics and Transformations Further Applications of Regression Techniques Selection of a Regression Model Multicollinearity: Diagnosis and Remedies Appendix Bibliography Index

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Golberg M., Cho H. Introduction to Regression Analysis 2010.pdf 6.2 MB

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golberg m cho h introduction regression analysis 2010