Title: Applied linear statistical models : regression, analysis of variance, and experimental designs /
Authors: Neter, John.; Wasserman, William.; Kutner, Michael H.
Publisher: Irwin,
Year: 1990
Subjects: Regression analysis.; Analysis of variance.; Experimental design.; Linear models (Statistics)
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.