Explore Books on
analysis of variance

Response surface methodology

By Raymond H. Myers

Extending the Linear Model with R

By Julian J. Faraway

Analysis of Panel Data

By Cheng Hsiao

Design and analysis of experiments

By Douglas C. Montgomery

Linear Models

By Shayle R. Searle

Econometric methods

By Johnston, J.

Plane answers to complex questions

By Ronald Christensen

Statistical methods for rates and proportions

By Joseph L. Fleiss

Introductory statistics

By N. A. Weiss

Analysis of Variance, Design, and Regression

By Ronald Christensen

Effect sizes for research

By Robert J. Grissom

Linear Models with R

By Julian J. Faraway

Levine's guide to SPSS for analysis of variance

By Gustav Levine,Sanford L. Braver,David P. Mackinnon,Melanie C. Page,Gustav Guide to Spss for Analysis of Variance Levine

Helium Research Center internal report

By Robert E. Barieau

Applied Univariate, Bivariate, and Multivariate Statistics

By Daniel J. Denis

Applying generalizability theory using EduG

By Jean Cardinet

Introduction to Mixed Modelling

By N. W. Galwey

Transformation and weighting in regression

By Raymond J. Carroll

Methods and Applications of Linear Models

By Ronald R. Hocking

Mixed Models

By Eugene Demidenko

Multilevel Analysis

By Joop J. Hox,Mirjam Moerbeek,Rens van de Schoot

Predictive inference

By Seymour Geisser

Design of Experiments

By Max Morris

Coefficient of Variation and Machine Learning Applications

By K. Hima Bindu,Raghava Morusupalli,Nilanjan Dey,C. Raghavendra Rao