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Probability, Statistical Optics, and Data Testing : A Problem Solving Approach
Continuous Random Variables
other
Author(s):
B. Roy Frieden
Publication date
(Online):
April 18 2011
Publisher:
Springer Berlin Heidelberg
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Possible generalization of Boltzmann-Gibbs statistics
Constantino Tsallis
(1988)
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On the Mathematical Foundations of Theoretical Statistics
R Fisher
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Measurement of the Roughness of the Sea Surface from Photographs of the Sun’s Glitter
Charles Cox
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Walter H. Munk
(1954)
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Book Chapter
Publication date (Print):
2001
Publication date (Online):
April 18 2011
Pages
: 39-77
DOI:
10.1007/978-3-642-56699-8_3
SO-VID:
a838cffd-6ad2-4eae-a120-dee267b18201
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Book chapters
pp. 1
Introduction
pp. 7
The Axiomatic Approach
pp. 39
Continuous Random Variables
pp. 79
Fourier Methods in Probability
pp. 107
Functions of Random Variables
pp. 147
Bernoulli Trials and Limiting Cases
pp. 175
The Monte Carlo Calculation
pp. 191
Stochastic Processes
pp. 243
Introduction to Statistical Methods: Estimating the Mean, Median, Variance, S/N, and Simple Probability
pp. 277
Introduction to Estimating Probability Laws
pp. 307
The Chi-Square Test of Significance
pp. 321
The Student t-Test on the Mean
pp. 333
The F-Test on Variance
pp. 341
Least-Squares Curve Fitting — Regression Analysis
pp. 363
Principal Components Analysis
pp. 375
The Controversy Between Bayesians and Classicists
pp. 387
Introduction to Estimation Methods
pp. C1
Correction to: Unternehmenseinträge A–Z
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