Statistics and Analysis of Scientific Data
The revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of...
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Format: | eBook |
Language: | English |
Published: |
New York, NY
Springer New York
2017, 2017
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Edition: | 2nd ed. 2017 |
Series: | Graduate Texts in Physics
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Theory of Probability
- Random Variables and Their Distribution
- Sum and Functions of Random Variables
- Estimate of Mean and Variance and Confidence Intervals
- Median, Weighted Mean and Linear Average (NEW)
- Distribution Function of Statistics and Hypothesis Testing
- Maximum Likelihood Fit to a Two-Variable Dataset
- Goodness of Fit and Parameter Uncertainty
- Systematic Errors and Intrinsic Scatter (NEW)
- Fitting Data with Bivariate Errors (NEW)
- Comparison Between Models
- Monte Carlo Methods
- Markov Chains and Monte Carlo Markov Chains
- Statistics for Business Sciences and Addition of Multi–Variate Analysis (NEW)