دانلود کتاب A Parametric Approach to Nonparametric Statistics

Name: A Parametric Approach to Nonparametric Statistics
Availability: InStock
Author: Mayer Alvo
ISBN: 9783319941523

by Mayer Alvo, Philip L. H. Yu

عنوان فارسی: یک رویکرد پارامتری به آمار غیر پارامتری
ناشر: Springer
سال: 2018
زبان: انگلیسی
تعداد صفحه (نسخه چاپی - نسخه الکترونیکی): 277-277
شابک: 9783319941523
نوع فایل: PDF دانلود نرم افزار مطالعه
حجم: 3.22 مگابایت

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جزییات کتاب

This book demonstrates that nonparametric statistics can be taught from a parametric point of view. As a result, one can exploit various parametric tools such as the use of the likelihood function, penalized likelihood and score functions to not only derive well-known tests but to also go beyond and make use of Bayesian methods to analyze ranking data. The book bridges the gap between parametric and nonparametric statistics and presents the best practices of the former while enjoying the robustness properties of the latter.
This book can be used in a graduate course in nonparametrics, with parts being accessible to senior undergraduates. In addition, the book will be of wide interest to statisticians and researchers in applied fields.