Statistical Modeling, Linear Regression and ANOVA, A Practical Computational Perspective (Paperback) (ISBN-13: 9781387205516)

Statistical modeling is a branch of advanced statistics and a critical component of many applications in science and business. This book is an attempt to satisfy the need of mathematical statisticians and computational students in linear modeling and ANOVA. This book addresses linear modeling from a computational perspective with an emphasis on the mathematical details and step-by-step calculations using SAS(R) PROC IML. This book covers correlation analysis, simple and multiple linear regression, polynomial regression, regression with correlated data, model selection, analysis of covariance (ANCOVA), and analysis of variance (ANOVA). The level is suitable for upper level undergraduate and graduate students with knowledge of linear algebra and some programming skills.

Author: Hamid Ismail
ISBN-10: 138720551X
ISBN-13: 9781387205516
Publisher: Lulu.com
Language: English
Published: 01/21/2018
Pages: 468
Format: Paperback
Weight: 2.37lbs
Size: 11.00h x 8.50w x 0.94d