"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 simple numbers"--
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 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 ...
This book, now in its third edition, offers a practical guide to the use of probability and statistics in experimental physics that is of value for both advanced undergraduates and graduate students.
In ASP Conference Series, Vol. l72, Astronomical Data Analysis Software and Systems VIII, D. M. Mehringer, R. L. Plante, and D. A. Roberts (eds.). San Fransisco: Astronomical Society of the Pacific, pp. 297-306. Maddox, J. (l994).
Generalized Hypergeometric Functions with Applications in Statistics and Physical Sciences
Features new to this edition include: • a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. • a new chapter on the various measures of the mean including ...
The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum ...
Probability and Statistics for the Engineering, Computing, and Physical Sciences
Dill, K.A. and Bromberg, S., Molecular Driving Forces, Garland Science, New York, 2003. Leach, A., Molecular Modelling, Prentice Hall, Harlow, U.K., 2001. Ma, S.-K., Statistical Mechanics, World Scientific, Hackensack, NJ, 1985.
This book shows the is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical science problems.