Data Analysis Statistical and Computational Methods for Scientists and Engineers
Time series analysis. Audience The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, working for bachelor or maste...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2014, 2014
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| Edition: | 4th ed. 2014 |
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| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Introduction
- Probabilities
- Random Variables: Distributions
- Computer-Generated Random Numbers: The Monte Carlo Method
- Some Important Distributions and Theorems
- Samples
- The Method of Maximum Likelihood
- Testing Statistical Hypotheses
- The Method of Least Squares
- Function Minimization
- Analysis of Variance
- Linear and Polynomial Regression
- Time-Series Analysis
- A) Matrix Calculations
- B) Combinatorics
- C) Formulas and Methods for the Computation of Statistical Functions
- D) The Gamma Function and Related Functions: Methods and Programs for their Computation
- E) Utility Programs
- F) The Graphics Class DatanGraphics
- G) Problems, Hints and Solutions and Programming Problems
- H) Collection of Formulas
- I) Statistical Formulas
- List of Computer Programs