Items related to Statistical and Computational Methods in Data Analysis
Synopsis
Introduction.- Probabilities.- Random Distributions.- Computer-Generated Random 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.- A) Matrix Calculations.- B) Combinatorics.- C) Formulas and Methods for the Computation of Statistical Functions.- D) The Gamma Function and Related Methods and Programs for their Computation.- E) Utility Programs.- F) The Graphics Class DatanGraphics.- G) Problems, Hints and Solutions and Programming Problems.- H) Collection of Formulas.- I) Statistical Formulas.- List of Computer Programs.
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Language Notes
Text: English (translation)
Original Language: German
Review
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
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Statistical and Computational Methods in Data Analysis
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Statistical and computational methods in data analysis
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North-Holland Publishing Company, 1970
ISBN 10: 0720420334
ISBN 13: 9780720420333
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Statistical and Computational Methods in Data Analysis
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