Description
Book SynopsisThe number of books on Nonparametric Methodology is quite small as compared to, say, on Design of Experiments, Regression Analysis, Multivariate Analysis, etc. Because of being perceived as less effective, nonparametric methods are still the second choice. Actually, it has been demonstrated time and again that they are useful. We feel that there is still need for proper texts/applications/reference books on Nonparametric Methodology.This book will introduce various types of data encountered in practice and suggest the appropriate nonparametric methods, discuss their properties through null and non-null distributions whenever possible and demonstrate the very minor loss in power and efficiency in the nonparametric method, if any.The book will cover almost all topics of current interest such as bootstrapping, ranked set sampling, techniques for censored data and Bayesian analysis under nonparametric set ups.
Table of ContentsPrinciples of Statistical Inference; Order Statistics; Empirical Distribution Function; The Goodness of Fit Problem; Other One Sample Problems; Rank Tests and their Optimality; Two Sample Problems; Multisample Problems and Simultaneous Inference; Density Estimation; Nonparametric Regression and Classification; Proportional Hazards Regression; Appendix (Dealing with Pitman Efficiency, Asymptotic Distributions, etc);
