Description
Book SynopsisThe revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains.
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 logarithmic averages.
new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors.
a new case study and additional worked examples.
mathematical derivations and theoretical background material have be
