Advanced Linear Modeling: Statistical Learning and Dependent Data

This book will serve as a reference book for graduate students and researchers in statistics. Written by a leading researcher in the field, it discusses advanced topics in the area of linear models.

Author: Ronald Christensen
Publisher: Springer
Published: 12/20/2019
Pages: 608
Binding Type: Hardcover
Weight: 2.33lbs
Size: 9.21h x 6.14w x 1.38d
ISBN13: 9783030291631
ISBN10: 3030291634
BISAC Categories:
- Mathematics | Probability & Statistics | General
- Mathematics | Counting & Numeration

About the Author
Ronald Christensen is a Professor of Statistics at the University of New Mexico, Fellow of the American Statistical Association (ASA) and the Institute of Mathematical Statistics, former Chair of the ASA Section on Bayesian Statistical Science and former Editor of The American Statistician. His book publications include Plane Answers to Complex Questions (Springer 2011), Log-Linear Models and Logistic Regression (Springer 1997), Analysis of Variance, Design, and Regression (1996, 2016), and Bayesian Ideas and Data Analysis (2010, with Johnson, Branscum and Hanson).