Modern Methods For Robust Regression Pdf Download
An algorithm for combining method is given in SAS, along with applications and visualizations. Keywords: Multiple linear regression, robust regression and bootstrap method Introduction Multiple linear regression (MLR) is an extension of simple linear regression. Table 1 displays the data for multiple linear regression. Regression methods in biostatistics Download regression methods in biostatistics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get regression methods in biostatistics book now. Cavalier font download. This site is like a library, Use search box in the widget to get ebook that you want.
Quantitative Applications in the Social Sciences
Modern Methods for Robust Regression offers a brief but in-depth treatment of various methods for detecting and properly handling influential cases in regression analysis. This volume, geared toward both future and practicing social scientists, is unique in that it takes an applied approach and offers readers empirical examples to illustrate key concepts. It is ideal for readers who are interested in the issues related to outliers and influential cases.
Key Features
- Defines key terms necessary to understanding the robustness of an estimator: Because they form the basis of robust regression techniques, the book also deals with various measures of location and scale.
- Addresses the robustness of validity and efficiency: After having described the robustness of validity for an estimator, the author discusses its efficiency.
- Focuses on the impact of outliers: The book compares the robustness of a wide variety of estimators that attempt to limit the influence of unusual observations.
- Gives an overview of some traditional techniques: Both formal statistical tests and graphical methods detect influential cases in the general linear model.
- Offers a Web appendix: This volume provides readers with the data and the R code for the examples used in the book.
Intended Audience
Robust Regression Spss
This is an excellent text for intermediate and advanced Quantitative Methods and Statistics courses offered at the graduate level across the social sciences.
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Available Formats| ISBN: 9781412940726 | Paperback | Suggested Retail Price: $22.00 | Bookstore Price: $17.60 |
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| Defining Robust Regression |
| A Real-World Example: Coital Frequency of Married Couples in the 1970s |
| Breakdown Point |
| Relative Efficiency |
| Measures of Scale |
| Comparing Various Estimates |
| Implications of Unusual Cases for OLS Estimates and Standard Errors |
| Detecting Problematic Observations in OLS Regression |
| L-Estimators |
| M-Estimators |
| S-Estimators |
| MM-Estimators |
| Diagnostics Revisited: Robust Regression-Related Methods for Detecting Outliers |
| Asymptotic Standard Errors for Robust Regression Estimators |
| Notes |
| Detecting Unusual Cases in Generalized Linear Models |
| Notes |
Robust Nonlinear Regression
- This volume offers applied coverage of a topic that has traditionally been discussed from a theoretical standpoint.
- The authors uses empirical examples to illustrate key concepts,
- A Web Appendix provides readers with the data and the R-code for the examples used in the book.