Catalog > Sciences > Math > Dallas E. Johnson & George A. Milliken: Analysis of Messy Data, Volume II (ePUB)

Dallas E. Johnson & George A. Milliken
Analysis of Messy Data, Volume II [EPUB ebook]
Nonreplicated Experiments

Support

Cover of Dallas E. Johnson & George A. Milliken: Analysis of Messy Data, Volume II (ePUB)

Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores ways to use statistical software to make the required computations feasible.

€79.34

Buy this ebook and get 1 more FREE!

Format EPUB ● Pages 208 ● ISBN 9781351697125 ● Publisher CRC Press ● Published 2017 ● Downloadable 3 times ● Currency EUR ● ID 5036575 ● Copy protection Adobe DRM

Requires a DRM capable ebook reader

More ebooks from the same author(s) / Editor

Dallas E. Johnson George A. Milliken

49,013 Ebooks in this category

Cover of John C. George & Walter D. Wallis: Introduction to Combinatorics

John C. George & Walter D. Wallis: Introduction to Combinatorics

What Is Combinatorics Anyway? Broadly speaking, combinatorics is the branch of mathematics dealing with different ways of selecting objects from a set or arranging objects. It tries to answer two maj …

Cover of Bruce Crauder & Benny Evans: Preparation for Calculus

Bruce Crauder & Benny Evans: Preparation for Calculus

Cover of Oleksandr Nakonechnyi & Yuri Podlipenko: Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data

Oleksandr Nakonechnyi & Yuri Podlipenko: Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data

This monograph is devoted to the construction of optimal estimates of values of linear functionals on solutions to Cauchy and two-point boundary value problems for systems of linear first-order ordin …

Cover of J.S. Maritz: Empirical Bayes Methods with Applications

J.S. Maritz: Empirical Bayes Methods with Applications

The second edition of Empirical Bayes Methods details are provided of the derivation and the performance of empirical Bayes rules for a variety of special models. Attention is given to the problem of …

Cover of John W. Negele & Henri Orland: Quantum Many-particle Systems

John W. Negele & Henri Orland: Quantum Many-particle Systems

This book explains the fundamental concepts and theoretical techniques used to understand the properties of quantum systems having large numbers of degrees of freedom. A number of complimentary appro …

Cover of Mathias Drton & Steffen Lauritzen: Handbook of Graphical Models

Mathias Drton & Steffen Lauritzen: Handbook of Graphical Models

A graphical model is a statistical model that is represented by a graph. The factorization properties underlying graphical models facilitate tractable computation with multivariate distributions, mak …

Cover of Cheryl Cihon & John K. Taylor: Statistical Techniques for Data Analysis

Cheryl Cihon & John K. Taylor: Statistical Techniques for Data Analysis

Since the first edition of this book appeared, computers have come to the aid of modern experimenters and data analysts, bringing with them data analysis techniques that were once beyond the calculat …

Cover of Gabriel (Point Pleasant, New Jersey, USA) Abellan & Nelson (Point Pleasant, New Jersey, USA) Bolivar: Quantum Mechanics

Gabriel (Point Pleasant, New Jersey, USA) Abellan & Nelson (Point Pleasant, New Jersey, USA) Bolivar: Quantum Mechanics

This volume will act as a guide through the various aspects of quantum mechanics. It not only covers the basics but also addresses new themes developed in the field of quantum mechanics in recent yea …

Cover of LawrenceCraig Evans: Measure Theory and Fine Properties of Functions

LawrenceCraig Evans: Measure Theory and Fine Properties of Functions

This book provides a detailed examination of the central assertions of measure theory in n-dimensional Euclidean space and emphasizes the roles of Hausdorff measure and the capacity in characterizing …

Cover of Birendra Nath (Indian Statistical Institute, Kolkata, India) Mandal & Madan Mohan (Dept. of Mathematics, Visva Bharati Central Univ., India) Panja: Wavelet Based Approximation Schemes for Singular Integral Equations

Birendra Nath (Indian Statistical Institute, Kolkata, India) Mandal & Madan Mohan (Dept. of Mathematics, Visva Bharati Central Univ., India) Panja: Wavelet Based Approximation Schemes for Singular Integral Equations

Many mathematical problems in science and engineering are defined by ordinary or partial differential equations with appropriate initial-boundary conditions. Among the various methods, boundary integ …