Statistical Methods for Physical Science

by John L. Stanford, Stephen B. Vardeman

Overview

This volume of Methods of Experimental Physics provides an extensive introduction to probability and statistics in many areas of the physical sciences, with an emphasis on the emerging area of spatial statistics. The scope of topics covered is wide-ranging-the text discusses a variety of the most commonly used classical methods and addresses newer methods that are applicable or potentially important. The chapter authors motivate readers with their insightful discussions.

Product Details

ISBN-13:	9780124759732
Publisher:	Elsevier Science
Publication date:	11/08/1994
Series:	Methods in Experimental Physics Series , #28
Pages:	542
Product dimensions:	6.00(w) x 9.00(h) x (d)

Table of Contents

W.R. Leo, Introduction to Probability Modeling. L. Hodges, Common Univariate Distributions. C. Chatfield, Random Process Models. N. Cressie, Models for Spatial Processes. P. Clifford, Monte Carlo Methods. J. Kitchin, Basic Statistical Inference. V.N. Nair and A.E. Freeny, Methods for Assessing Distributional Assumptions in One- and Two-Sample Problems. W.Q. Meeker and L.A. Escobar, Maximum Likelihood Methods for Fitting ParametricStatistical Models. G.A.F. Seber and C.J. Wild, Least Squares. W.J. Randel, Filtering and Data Preprocessing for Time Series Analysis. D.B. Percival, Spectral Analysis of Univariate and Bivariate Time Series. D.A. Lewis, Weak Periodic Signals in Point Process Data. D. Zimmerman, Statistical Analysis of Spatial Data. H.F. Martz and R.A. Waller, Bayesian Methods. J.M. Hauptman, Simulation of Physical Systems. J.L. Stanford and J.R. Ziemke, Field (Map) Statistics. F.L. Hulting and A.P. Jaworski, Modern Statistical Computing and Graphics. References. Tables. Subject Index.

Editorial Reviews

An introduction to probability and statistics for experimental physical scientists with a level of mathematical sophistication commensurate with graduate training in the physical sciences. Covers probability modeling, the basics of probability-based statistical inference including least squares analysis, statistical inference from time series and spatial data, and some specialized topics only applicable with the recent advances in scientific computing. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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