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Data Analysis

Name: Data Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9780387984988
Price: 18924 HUF
Availability: InStock

Statistical and Computational Methods for Scientists and Engineers

Szerző: Siegmund Brandt, Gowan Glen

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

18 924 Ft

This book bridges the gap between statistical theory and physcal experiment. It provides a thorough...

Információk a könyvről

Szerző

Siegmund Brandt, Gowan Glen

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1998

oldal

652

EAN

9780387984988

ISBN

0387984984

Enbook ID

01385517

Kiadó

Springer-Verlag New York Inc.

Súly

2510

Méretek

155 x 235 x 41

Teljes leírás

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.

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Data Analysis

Statistical and Computational Methods for Scientists and Engineers

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