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Statistics and Analysis of Scientific Data

Overview of attention for book
Cover of 'Statistics and Analysis of Scientific Data'

Table of Contents

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    Book Overview
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    Chapter 1 Theory of Probability
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    Chapter 2 Random Variables and Their Distributions
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    Chapter 3 Three Fundamental Distributions: Binomial, Gaussian, and Poisson
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    Chapter 4 Functions of Random Variables and Error Propagation
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    Chapter 5 Maximum Likelihood and Other Methods to Estimate Variables
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    Chapter 6 Mean, Median, and Average Values of Variables
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    Chapter 7 Hypothesis Testing and Statistics
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    Chapter 8 Maximum Likelihood Methods for Two-Variable Datasets
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    Chapter 9 Multi-Variable Regression
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    Chapter 10 Goodness of Fit and Parameter Uncertainty
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    Chapter 11 Systematic Errors and Intrinsic Scatter
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    Chapter 12 Fitting Two-Variable Datasets with Bivariate Errors
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    Chapter 13 Model Comparison
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    Chapter 14 Monte Carlo Methods
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    Chapter 15 Introduction to Markov Chains
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    Chapter 16 Monte Carlo Markov Chains
Attention for Chapter 16: Monte Carlo Markov Chains
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