A First Course in Linear Models and Design of Experiments
Edition: First edition
Publisher: Springer Verlag; Springer
Published: 15 December, 2020
Place of publication: Singapore
Language: eng
Format: Hardcover
Number of pages: 252
ISBN-13: 9789811586583
Copyright date: ©2020
Description: The book includes topics on the basic theory of linear models covering estimability, criteria for estimability, Gauss – Markov theorem, confidence interval estimation, linear hypotheses and likelihood ratio tests, the general theory of analysis of general block designs, complete and incomplete block designs, general row column designs with Latin square design and Youden square design as particular cases, symmetric factorial experiments, missing plot technique, analyses of covariance models, split plot and split block designs. Every chapter has examples to illustrate the theoretical results and exercises complementing the topics discussed. R codes are provided at the end of every chapter for at least one illustrative example from the chapter enabling readers to write similar codes for other examples and exercise.
Notes: Presents theory of linear models and design of experiments in a single volume
Includes detailed proofs and conducts rigorous treatment of topics for better grasp
Aims at bridging the gap between the basic and advanced topics of the subject
Provides motivating exercises, solved examples, and R codes supplementing the examples