Data Analysis : Statistical and Computational Methods for Scientists and Engineers

Statistical and Computational Methods for Scientists and Engineers

By: Siegmund Brandt, S. Brandt, G. Cowan (Translator)

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Hardcover | 1 November 1998 | Edition Number 3

At a Glance

Hardcover
692 Pages

Edition Type
Revised

Dimensions(cm)
24.77 x 17.15 x 3.18

Hardcover

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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

Industry Reviews

From the reviews:

"The book is concise, but gives a sufficiently rigorous mathematical treatment of practical statistical methods for data analysisIt 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

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You Can Find This Book In

Non-Fiction Mathematics Applied Mathematics Probability & Statistics Science Science in General Scientific Equipment Maths for Scientists Physics Statistical Physics Mathematical Physics Economics, Finance, Business and Management

Introduction
Probabilities
Random Variables
Computer- Generated Random Numbers: The Monte Carlo Method
Some Important Distributions and Theorems
Samples
The Method of Maximum Likelihood
Testing Statistical Hypotheses
The Method of Least Squares
Function Minimization
Analysis of variance
Linear and Polynomial Regression
Time-Series Analysis
Matrix Calculation
Combinatorics
Formulas and Programs for Statistical Functions
The Gamma Function and Related Functions. methods and Programs for Their Computation
Utility Programs
The Graphics Programming Package GRPACK
Software Installation and technical Hints
Collection of Formulas
Statistical Tables
Literature
List of Computer Programs
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Table of Contents provided by Publisher. All Rights Reserved.

Data Analysis : Statistical and Computational Methods for Scientists and Engineers

Statistical and Computational Methods for Scientists and Engineers

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

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