by N.Balakrishnan (Series Editor), EdwardG.Schilling (Series Editor), JamesLeSage (Author), WilliamR.Schucany (Series Editor), RobertKelleyPace (Author)
Presents a variety of regression methods used to analyze spatial data samples that violate the traditional assumption of independence between observations. This title explores a range of alternative topics, including maximum likelihood and Bayesian estimation and applied modeling situations involving different circumstances.
Format: Hardcover
Pages: 374
Edition: 1
Publisher: Chapman & Hall
Published: 16 Jan 2009
ISBN 10: 142006424X
ISBN 13: 9781420064247