Introduction to Robust Estimation and Hypothesis Testing ( 3rd Edition)

Download Introduction to Robust Estimation and Hypothesis Testing ( 3rd Edition) written by Rand R. Wilcox in PDF format. This book is under the category Statistics and bearing the isbn/isbn13 number 0123869838; 0123870151; 1283394081/9780123869838/ 9780123870155/ 9781283394086. You may reffer the table below for additional details of the book.

$19.99

SKU: 5f6371c91261 Category: Tags: , ,

Specifications

book-author

Rand R. Wilcox

publisher

Academic Press; 3rd edition

file-type

PDF

pages

Pages

language

English

isbn10

0123869838; 0123870151; 1283394081

isbn13

9780123869838/ 9780123870155/ 9781283394086


Book Description

Introduction to Robust Estimation and Hypothesis Testing; 3rd Edition; (PDF) emphasizes the sensible functions of recent; sturdy strategies that may enormously enhance our probabilities of detecting true variations amongst teams and true associations amongst variables.

This revised ebook provides a radical clarification of the muse of sturdy strategies; together with the most recent updates on R and S-Plus; sturdy ANOVA (Analysis of Variance); and regression. It leads superior college students and different professionals by means of the elemental methods used for creating sensible solutions to issues. It offers a concise background on the foundations of recent strategies; placing the brand new strategies in a historic context. Author Rand Wilcox contains chapter workout routines and a number of actual-world examples that present how varied strategies carry out in several conditions.

REVIEWS

“…Wilcox has greatly enhanced this ebook; which is now almost twice as big as the first edition. This would now look to be a good ebook for everyone to have in their library.” — Technometrics; 2005

This textbook emphasizes applied aspects of major modern and robust statistical methods. Early chapters describe the aims and mathematical foundations of modern methods. The heart of the ebook describes methods for addressing general problems in ANOVA and regression; with a minimum of technical details; and judges their advantages using multiple criteria; giving advice on which ones to use for various situations. Chapter exercises are included. The ebook assumes a prior introductory statistics course and background on fundamentals of ANOVA; hypothesis testing; and regression. For the third edition; S-PLUS functions are no longer backed. Rather; R functions are supplied.” — Reference and Research Book News; Inc.

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