E-Book, Englisch, 654 Seiten
Young Handbook of Regression Methods
1. Auflage 2017
ISBN: 978-1-4987-7530-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 654 Seiten
ISBN: 978-1-4987-7530-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
This book is intended to read like a handbook for regression methods. It provides a broad survey of both standard and non-standard regression models and topics. Thus, the treatment includes topics that would typically be covered in a master's-level statistics course in regression (e.g., simple/multiple linear regression, residual analysis, and ANOVA; as well as more specialized topics like biased regression procedures, multivariate regression, and count regression models).
Autoren/Hrsg.
Weitere Infos & Material
Introduction. Simple Linear Regression. The Basics of Regression Models. Statistical Inference. Statistical Intervals. Assessing Regression Assumptions. ANOVA I. Multiple Linear Regression. Multiple Regression. Matrix Notation in Regression. Indicator Variables. Multicollinearity. ANOVA II. Advanced Regression Diagnostic Methods. Influential Data Values. Measurement Errors and Instrumental Variables Regression. Weighted Least Squares and Robust Regression Procedures. Correlated Errors and Autoregressive Structures. Crossvalidation and Model Selection Methods. Advanced Regression Models. Biased Regression Methods and Regression Shrinkage. Piecewise and Nonparametric Methods. Regression Models with Censored Data. Nonlinear Regression. Regression Models with Counts as Responses. Multivariate Multiple Regression. Data Mining. Miscellaneous Topics. Appendices.
