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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2017.
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Έκδοση: | 2nd ed. 2017. |
Σειρά: | Graduate Texts in Physics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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).