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Probability, Statistical Optics, and Data Testing

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Cover of 'Probability, Statistical Optics, and Data Testing'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 The Axiomatic Approach
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    Chapter 3 Continuous Random Variables
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    Chapter 4 Fourier Methods in Probability
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    Chapter 5 Functions of Random Variables
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    Chapter 6 Bernoulli Trials and Limiting Cases
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    Chapter 7 The Monte Carlo Calculation
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    Chapter 8 Stochastic Processes
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    Chapter 9 Introduction to Statistical Methods: Estimating the Mean, Median, Variance, S/N, and Simple Probability
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    Chapter 10 Estimating a Probability Law
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    Chapter 11 The Chi-Square Test of Significance
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    Chapter 12 The Student t -Test on the Mean
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    Chapter 13 The F -Test on Variance
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    Chapter 14 Least-Squares Curve Fitting — Regression Analysis
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    Chapter 15 Principal Components Analysis
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    Chapter 16 The Controversy between Bayesians and Classicists
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    Chapter 17 Introduction to Estimation Methods
Attention for Chapter 7: The Monte Carlo Calculation
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