Statistical methods for physical science / edited by John L. Stanford and Stephen B. Vardeman.

Includes bibliographical references and index.

Introduction to probability modeling / by William R. Leo --Common univariate distributions / by Laurent Hodges -- Random process models / by Christopher Chatfield -- Models for spatial processes / by Noel Cressie -- Monte Carlo methods / by Peter Clifford -- Basic statistical inference / by John Kitchin -- Methods for assessing distributional assumptions in one-and two-sample problems / by Vijayan N. Nair and Anne E. Freeny -- Maximum likelihood methods for fitting parametric statistical models / by William Q. Meeker and Luis A. Escobar -- Least squares / by George A.F. Seber and Christopher J. Wild --Filtering and data preprocessing for time series analysis / by William J. Randel -- Spectral analysis of univariate and bivariate time series / by Donald B. Percival -- Weak periodic signals in point process data / by David A. Lewis -- Statistical analysis of spatial data / by Dale Zimmerman -- Bayesian methods / by Harry F. Martz and Ray A. Waller -- Simulation of physical systems / by John M. Hauptman -- Field (map) statistics / by John L. Stanford and Jerald R. Ziemke -- Modern statistical computing and graphics / by Frederick L. Hulting and Andrzej P. Jaworski.