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Applied Data Analysis and Modeling for Energy Engineers and Scientists

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Cover of 'Applied Data Analysis and Modeling for Energy Engineers and Scientists'

Table of Contents

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    Book Overview
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    Chapter 1 Mathematical Models and Data Analysis
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    Chapter 2 Probability Concepts and Probability Distributions
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    Chapter 3 Data Collection and Preliminary Data Analysis
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    Chapter 4 Making Statistical Inferences from Samples
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    Chapter 5 Estimation of Linear Model Parameters Using Least Squares
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    Chapter 6 Design of Experiments
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    Chapter 7 Optimization Methods
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    Chapter 8 Classification and Clustering Methods
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    Chapter 9 Analysis of Time Series Data
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    Chapter 10 Parameter Estimation Methods
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    Chapter 11 Inverse Methods
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    Chapter 12 Risk Analysis and Decision-Making
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    Chapter 13 ERRATUM
Attention for Chapter 4: Making Statistical Inferences from Samples
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