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. Examines basic probability, including coverage of standard distributions, time series models, and Monte Carlo methods Describes statistical methods, including basic inference, goodness of fit, maximum likelihood, and least squares Addresses time series analysis, including filtering and spectral analysis Includes simulations of physical experiments Features applications of statistics to atmospheric physics and radio astronomy Covers the increasingly important area of modern statistical computing
The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J ...
"Statistics in physical science is principally concerned with the analysis of numerical data, so in Chapter 1 there is a review of what is meant by an experiment, and how the data that it produces are displayed and characterized by a few ...
Fanchiotti, H., Garcia Canal, C. A. and Marucho, M. 2006, Int. J. Mod. Phys. C17 1461— 1476. Feldman, G. and Cousins, R. 1998, ... 1, 2, and 3), Charles Griffin & Company Limited. Kirkup, L. and Frenkel, B. 2006, An Introduction to ...
This method, due to W. L. Stevens [Stevens], is described in sections 19.10 and 19.11 of the sixth edition of [Stuart] . ... As a function of fi, L{X\y) has the same bell-shaped form as the Normal probability density function (of X).
The book also analyzes the equations of macroscopic physics, such as the equations of hydrodynamics for normal and superfluid liquids and macroscopic electrodynamics. The text gives particular attention to the study of quantum systems.
Problems are presented at the end of each chapter, with solutions to selected problems provided online for lectures (www.wiley-vch.de). In addition, numerous worked examples are included throughout the text.
The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis.
Bretherton, C.S., C. Smith, J.M. Wallace, 1992. An intercomparison of methods for finding coupled patterns in climate data. ... Brocker, J., and L.A. Smith, 2007a. Scoring probabilistic forecasts: the importance of being proper.
The application of statistical methods to physics is essential. This unique book on statistical physics offers an advanced approach with numerous applications to the modern problems students are confronted with.
The statistical inference principles presented in this chapter, often referred to as the Neyman-Pearson principles, may seem awkward at first. This is especially true of the hypothesis testing procedures, with their distinction between ...