Description
Book SynopsisGetting Started.- The Normal Curve and Outlier Detection.- Accuracy and Inference.- Hypothesis Testing and Small Sample Sizes.- The Bootstrap.- A Fundamental Problem.- Robust Measures of Location.- Inferences About Robust Measures of Location.- Measures Of Association.- Robust Regression.- Alternative Strategies and Software.
Trade ReviewFrom the reviews of the second edition:
“It is a well-written and neatly organized book that introduces modern robust statistical methods … . the book not only a handbook for applied researchers who need to conduct reasonable and interpretable data analysis, but also a good textbook for non-statistics students and statistics undergraduate students. This is the only book on the subject written for this audience to my knowledge. … It provides insights and more methodological options in statistical analysis for students and applied researchers.” (Tian Siva Tian, Psychometrika, Vol. 76 (1), January, 2011)
Table of ContentsPart One: Genesis of a Science*Derivation Curve*What Am I Holding*Least Squares*Quantifying Accuracy*Solving Bernoulli's Problem*Promoting Normality*Part II Exploiting Normality*Dealing with Small Samples Sizes*Correlation*Part Three: Dealing with Nonnormality*Revolution with a Whimper*Robust Methods*Bootstrap *Conclusion
