Linear Models
Wiley Classics Library
1. Edition April 1997
560 Pages, Softcover
Wiley & Sons Ltd
ISBN:
978-0-471-18499-7
John Wiley & Sons
Short Description
Dieser Band beschreibt allgemeine Verfahren zur Abschätzung und Hypothesenprüfung für lineare statistische Modelle. Besonderen Wert legt das Buch auf die Interpretation unausgeglichener Daten.
This 1971 classic on linear models is once again available--as a Wiley Classics Library Edition. It features material that can be understood by any statistician who understands matrix algebra and basic statistical methods.
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.
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.
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.
