Детальная информация

Название: Nonparametric statistics: theory and methods
Авторы: Deshpande Jayant V.; Naik-Nimbalkar Uttara; Dewan Isha
Выходные сведения: Singapore: World Scientific, 2018
Коллекция: Электронные книги зарубежных издательств; Общая коллекция
Тематика: Распределения (мат.) вероятностей; непараметрическая статистика; distribution (mat.) probabilities'; nonparametric statistics
УДК: 519.213
Тип документа: Другой
Тип файла: Другой
Язык: Английский
Права доступа: Доступ по паролю из сети Интернет (чтение, печать)
Ключ записи: RU\SPSTU\edoc\60522

Разрешенные действия: Посмотреть

Аннотация

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.'--Publisher's website.

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