Fundamentals of Modern Statistical Methods Substantially Improving Power and Accuracy /

Conventional statistical methods have a very serious flaw. They routinely miss differences among groups or associations among variables that are detected by more modern techniques, even under very small departures from normality. Hundreds of journal articles have described the reasons standard techn...

Full description

Bibliographic Details
Main Author: Wilcox, Rand R. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic
Language:English
Published: New York, NY : Springer New York, 2010.
Edition:Second.
Subjects:
Online Access:https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4419-5525-8
Table of Contents:
  • Introduction
  • Getting started
  • The normal curve and outlier detection
  • Accuracy and inference
  • Hypothesis testing and small sample sizes
  • The Bootstrap
  • A fundamental problem
  • Robust measures of location
  • Inferences about robust measures of location
  • Measures of association
  • Robust regression
  • Alternative strategies and software.