Data Analysis: Statistical and Computational Methods for Scientists and Engineers | 
 enlarge | Author: Siegmund Brandt
Creator: Glen Gowan
Publisher: Springer
Category: Book
List Price: $94.00
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Rating:  1 reviews
Sales Rank: 1398105
Media: Hardcover
Edition: 3rd
Pages: 686
Number Of Items: 1
Shipping Weight (lbs): 2.5
Dimensions (in): 9.5 x 6.4 x 1.5
ISBN: 0387984984
Dewey Decimal Number: 519.2
EAN: 9780387984988
Publication Date: November 25, 1998
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| Editorial Reviews:
Product Description
This book bridges the gap between statistical theory and physcal experiment. It provides a thorough introduction to the statistical methods used in the experimental physical sciences and to the numerical methods used to implement them. An accompanying CD-ROM provides detailed code (in Fortran77 and in C) for implementing many of these algorithms (for IBM PS/2 or PC machines). The treatment emphasizes concise but rigorous mathematics but always retains its focus on applications. The reader is presumed to have a sound basic knowledge of differential and integral calulus and some knowledge of vectors and matrices (an appendix develops the vector and matrix methods used and provides a collection of related computer routines). After an introduction of probability, random variables, computer generation of random numbers (Monte Carlo methods) and impotrtant distributions (such as the biomial, Poisson, and normal distributions), the book turns to a discussion of statistical samples, the maximum likelihood method, and the testing of statistical hypotheses. The discussion concludes with the discussion of several important stistical methods: least squares, analysis of variance, polynomial regression, and analysis of tiem series. Appendices provide the necessary methods of matrix algebra, combinatorics, and many sets of useful algorithms and formulae. The book is intended for graduate students setting out on experimental research, but it should also provide a useful reference and programming guide for experienced experimenters. A large number of problems (many with hints or solutions) serve to help the reader test
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| Customer Reviews:
A Concentrated, Accessible, and Suprisingly Useful Reference March 10, 2000
Ralph Wiggum (Needmore, Indiana)
1 out of 2 found this review helpful
This text covers a broad range of topics in statistical and numerical analysis. It is most appropriate as a suplemental reference for senior undergraduate and beginning graduate students in statistics, computer science, and electrical & industrial engineering. Smarter MBA students will also find this usefull.The book's subject range is achieved by sacrificing rigor and depth on the altar of accessability. This isn't nessesarily a bad compromise... I find this book suprisingly useful to establish a beachhead when tackling a subject that is either new to me, or is many years past in my schooling. It certainly makes for inspiring bathroom reading, and it remains the only book I'll bring to the beachhouse this summer.
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