(formerly Methods of Experimental Physics), Academic Press, New York, London, 1994, 563 pp.
Edited by John L. Stanford, Stephen B. Vardeman
Introduction to Probability Modeling
Common Univariate Distributions
Random Process Models
Models for Spatial Processes
Monte Carlo Methods
Basic Statistical Inference
Methods for Assessing Distributional Assumptions in Oneand
Maximum Likelihood Methods for Fitting Parametric Statistical Models
Least Squares
Filtering and Data Preprocessing for Time Series Analysis
Spectral Analysis of Univariate and Bivariate Time Series
Weak Periodic Signals in Point Process Data
Statistical Analysis of Spatial Data
Bayesian Methods
Simulation of Physical Systems
Field (Map) Statistics
Modern Statistical Computing and Graphics
Tables.