๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Permutation Tests for Stochastic Ordering and ANOVA: Theory and Applications with R

โœ Scribed by Aldo Solari, Luigi Salmaso, Fortunato Pesarin, Dario Basso (auth.)


Publisher
Springer-Verlag New York
Year
2009
Tongue
English
Leaves
220
Series
Lecture Notes in Statistics 194
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Subjects


Quality Control, Reliability, Safety and Risk; Simulation and Modeling; Statistical Theory and Methods


๐Ÿ“œ SIMILAR VOLUMES


Nonparametric Hypothesis Testing: Rank a
โœ Stefano Bonnini, Livio Corain, Marco Marozzi, Luigi Salmaso ๐Ÿ“‚ Library ๐Ÿ“… 2014 ๐Ÿ› Wiley ๐ŸŒ English

<table border="0" cellspacing="0" cellpadding="0"><tbody><tr><td valign="top" width="686"><p><b>A novel presentation of rank and permutation tests, with accessible guidance to applications in <i>R<br /></i></b><b>ย </b></p></td></tr><tr><td valign="top" width="686"><p>Nonparametric testing problems a

Probability Theory and Stochastic Proces
โœ Oliver Knill ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› Overseas Press ๐ŸŒ English

Chapter 1-2 of this text covers material of a basic probability course. Chapter 3 deals with discrete stochastic processes including Martingale theory. Chapter 4 covers continous time stochastic processes like Brownian motion and stochastic differential equations. The last chapter selected topics go

Permutation Tests for Complex Data: Theo
โœ Fortunato Pesarin, Luigi Salmaso ๐Ÿ“‚ Library ๐Ÿ“… 2010 ๐ŸŒ English

Complex multivariate testing problems are frequently encountered in many scientific disciplines, such as engineering, medicine and the social sciences. As a result, modern statistics needs permutation testing for complex data with low sample size and many variables, especially in observational studi

Stochastic Comparisons with Applications
โœ Subhash C. Kochar ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Springer ๐ŸŒ English

<p><span>This book emphasizes the use of stochastic orders as motivational tools for developing new statistical procedures. Stochastic orders have found useful applications in many disciplines, including reliability theory, survival analysis, risk theory, finance, nonparametric methods, economics an