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Applied linear statistical models : regression, analysis of variance, and experimental designs

Author: John Neter; William Wasserman; Michael H Kutner
Publisher: Homewood, IL : Irwin, ©1990.
Edition/Format:   Print book : English : 3rd edView all editions and formats
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: John Neter; William Wasserman; Michael H Kutner
ISBN: 025608338X 9780256083385
OCLC Number: 20796785
Notes: "Free instructor's copy ... not for sale"--Cover.
Description: xvi, 1181 pages : illustrations ; 25 cm
Contents: Some basic results in probability and statistics --
Linear regression with one independent variable --
Inferences in regression analysis --
Diagnostics and remedial measures : I --
Simultaneous inferences and other topics in regression analysis --
Matrix approach to simple linear regression analysis --
Multiple regression : I --
Multiple regression : II --
Polynomial regression --
Qualitative independent variables --
Diagnostics and remedial measures : II --
Building the regression model --
Autocorrelation in time series data --
Single-factor ANOVA model and tests --
Analysis of factor level effects --
Diagnostics and remedial measures : III --
Planning sample sizes, nonparametric tests, and random ANOVA model --
Two-factor analysis of variance : equal sample sizes --
Analysis and planning of two-factor studies : equal sample sizes --
Unequal sample sizes in two-factor studies --
Random and mixed effects models for two-factor studies and other topics in ANOVA --
Multifactor studies --
Analysis of covariance --
Randomized block designs : I --
Randomized block designs : II --
Nested designs and subsampling --
Rules for developing ANOVA models and tables for balanced designs --
Repeated measures and related designs --
Latin square and related designs.
Responsibility: John Neter, William Wasserman, Michael H. Kutner.

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