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OverviewThis 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 Full Product DetailsAuthor: Siegmund Brandt , Glen GowanPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 3rd ed. 1999 Dimensions: Width: 15.50cm , Height: 3.60cm , Length: 23.50cm Weight: 2.510kg ISBN: 9780387984988ISBN 10: 0387984984 Pages: 652 Publication Date: 25 November 1998 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1. Introduction; 2. Probabilities; 3. Random Variables; 4. Computer- Generated Random Numbers: The Monte Carlo Method; 5. Some Important Distributions and Theorems; 6. Samples; 7. The Method of Maximum Likelihood; 8. Testing Statistical Hypotheses; 9. The Method of Least Squares; 10. Function Minimization; 11. Analysis of variance; 12. Linear and Polynomial Regression; 13. Time-Series Analysis; Appendix A: Matrix Calculation; Appendix B: Combinatorics; Appendix C: Formulas and Programs for Statistical Functions; Appendix D: The Gamma Function and Related Functions. methods and Programs for Their Computation; Appendix E: Utility Programs; Appendix F: The Graphics Programming Package GRPACK; Appendix G: Software Installation and technical Hints; Appendix H: Collection of Formulas; Appendix I: Statistical Tables; Literature; List of Computer Programs; Register.ReviewsFrom the reviews: <p> The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysisAIt can be of great use to all who are involved with data analysis. Physicalia <p>.,. Serves as a nice reference guide for any scientist interested in the fundamentals of data analysis on the computer. The American Statistician From the reviews: The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysis?It can be of great use to all who are involved with data analysis. Physicalia ... Serves as a nice reference guide for any scientist interested in the fundamentals of data analysis on the computer. The American Statistician Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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