โ Scribed by Jayant V Deshpande, Uttara Naik-Nimbalkar, Isha Dewan
No coin nor oath required. For personal study only.
The 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
Nonparametric statistics.;Distribution (Probability theory);Nonparametric statistics
๐ SIMILAR VOLUMES
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The dichotomous data problem. The one-sample location problem. Paired replicates analyses by way of signed ranks. Paired replicates analyses by way of signs. One-sample data. The two-sample location problem. The two-sample dispersion problem. Medians known or equal. Medians unknown and unequal. The
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This new edition follows the basic easy-to-digest pattern that was so well received by users of the earlier editions. The authors substantially update and expand Applied Nonparametric Statistical Methods to reflect changing attitudes towards applied statistics, new developments, and the impact of mo