Statistics and Analysis of Scientific Data
Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and analytical methods that are essential for the present-day analyst of scientific data. Topics covered include probability theory, distribution functions of statistics,...
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,
2013.
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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
- Distribution Function of Statistics and Hypothesis Testing
- Maximum Likelihood Fit to a Two-Variable Dataset
- Goodness of Fit and Parameter Uncertainty
- Comparison Between Models
- Monte Carlo Methods
- Markov Chains and Monte Carlo Markov Chains
- A: Numerical Tables
- B: Solutions.