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Data analysis : statistical and computational methods for scientists and engineers
Resource Information
The work ** Data analysis : statistical and computational methods for scientists and engineers** represents a distinct intellectual or artistic creation found in **University of Oklahoma Libraries**. This resource is a combination of several types including: Work, Language Material, Books.

The Resource
Data analysis : statistical and computational methods for scientists and engineers
Resource Information

The work

**Data analysis : statistical and computational methods for scientists and engineers**represents a distinct intellectual or artistic creation found in**University of Oklahoma Libraries**. This resource is a combination of several types including: Work, Language Material, Books.- Label
- Data analysis : statistical and computational methods for scientists and engineers

- Title remainder
- statistical and computational methods for scientists and engineers

- Statement of responsibility
- Siegmund Brandt ; translated by Glen Cowan

- Language
- eng

- Summary
- 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. 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

- Cataloging source
- EUM

- Dewey number
- 530.15

- Illustrations
- illustrations

- Index
- no index present

- LC call number
- QC5.53

- Literary form
- non fiction

- Nature of contents
- dictionaries

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