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Data Analysis: Statistical and Computational Methods for Scientists and Engineers Book

Data Analysis: Statistical and Computational Methods for Scientists and Engineers
Data Analysis: Statistical and Computational Methods for Scientists and Engineers, , Data Analysis: Statistical and Computational Methods for Scientists and Engineers has a rating of 3 stars
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  • Data Analysis: Statistical and Computational Methods for Scientists and Engineers
  • Written by author Siegmund Brandt
  • Published by Springer-Verlag New York, LLC, November 1998
  • 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-
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Book Categories

Authors

Preface to the Third English Edition
List of Examples
List of Programs
Frequently Used Symbols and Notation
1Introduction1
2Probabilities7
3Random Variables. Distributions17
4Computer Generated Random Numbers. The Monte Carlo Method49
5Some Important Distributions and Theorems87
6Samples133
7The Method of Maximum Likelihood187
8Testing Statistical Hypotheses212
9The Method of Least Squares248
10Function Minimization332
11Analysis of Variance396
12Linear and Polynomial Regression413
13Time Series Analysis427
AMatrix Calculations441
BCombinatorics525
CFormulas and Programs for Statistical Functions528
DThe Gamma Function and Related Functions. Methods and Programs for their Computation545
EUtility Programs558
FThe Graphics Programming Package GRPACK567
GSoftware Installation and Technical Hints595
HCollection of Formulas609
IStatistical Tables624
Literature636
List of Computer Programs641
Index645


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