An Introduction to Linear Statistical Models, V1 - Hardcover

Graybill, Franklin Arno

9781258766733: An Introduction to Linear Statistical Models, V1

Hardcover

ISBN 10: 1258766736 ISBN 13: 9781258766733

Verlag: Literary Licensing, LLC, 2013

Alle Exemplare dieser ISBN-Ausgabe

1 Gebraucht

Von EUR 56,40

1 Neu

Von EUR 53,28

""An Introduction to Linear Statistical Models, V1"" is a comprehensive textbook written by Franklin Arno Graybill. This book is designed to provide students with a solid foundation in the theory and application of linear statistical models. The book covers a wide range of topics, including matrix algebra, linear regression models, analysis of variance, and experimental design.The first part of the book focuses on matrix algebra, which is essential for understanding linear statistical models. The author explains the basic concepts of matrix algebra, such as matrix addition, multiplication, inversion, and determinants. The second part of the book covers linear regression models, including simple linear regression, multiple linear regression, and nonlinear regression. The author discusses the assumptions underlying these models, how to estimate the model parameters, and how to test the goodness of fit.The third part of the book covers analysis of variance (ANOVA), which is used to compare means across different groups. The author explains the basic concepts of ANOVA, including the F-test, the one-way ANOVA, and the two-way ANOVA. The fourth part of the book covers experimental design, which is essential for designing experiments that can be used to test hypotheses. The author discusses the basic principles of experimental design, including randomization, replication, and blocking.Overall, ""An Introduction to Linear Statistical Models, V1"" is an excellent textbook for students who want to learn about linear statistical models. The book is written in a clear and concise manner, with numerous examples and exercises to help students understand the concepts. The book is suitable for students in statistics, mathematics, engineering, and the natural sciences.This scarce antiquarian book is a facsimile reprint of the old original and may contain some imperfections such as library marks and notations. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions, that are true to their original work.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.