Linear Models

Revised Auflage
ISBN: 978-0-471-18499-7
Verlag: Wiley

Buch, Englisch, 560 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 895 g

Dieser Band beschreibt allgemeine Verfahren zur Abschätzung und Hypothesenprüfung für lineare statistische Modelle. Besonderen Wert legt das Buch auf die Interpretation unausgeglichener Daten.

Autoren/Hrsg.

Searle, Shayle R

Inhaltsverzeichnis

Aus dem Inhalt:

Generalized Inverse Matrices;
Distributions and Quadratic Forms;
Regression, to the Full Rank Model;
Introducing Linear Models: Regression on Dummy Variables;
Models Not of Full Rank;
Two Elementary Models;
The 2-Way Crossed Classification;
Some Other Analyses;
Introduction to Variance Components;
Methods of Estimating Variance Components from Unbalanced Data;
Variance Component Estimation from Unbalanced Data: Formulae;
Index.

Generalized Inverse Matrices.

Distributions and Quadratic Forms.

Regression, or the Full Rank Model.

Introducing Linear Models: Regression on Dummy Variables.

Models Not of Full Rank.

Two Elementary Models.

The 2-Way Crossed Classification.

Some Other Analyses.

Introduction to Variance Components.

Methods of Estimating Variance Components from UnbalancedData.

Variance Component Estimation from Unbalanced Data: Formulae.

Literature Cited.

Statistical Tables.

Index.

Über Autor(innen)

Shayle R. Searle, PhD, is Professor Emeritus in the Department of Biological Statistics and Computational Biology at Cornell University. Dr. Searle is the author of Linear Models, Linear Models for Unbalanced Data, Matrix Algebra Useful for Statistics, and Variance Components, all published by Wiley.