Title: Data analysis : statistical and computational methods for scientists and engineers /
Authors: Brandt, Siegmund.
Publisher: Springer,
Year: 1999
Subjects: Probabilities; Mathematical statistics
Contents: 1. Introduction -- 2. Probabilities -- 3. Random Variables. Distributions -- 4. Computer Generated Random Numbers. The Monte Carlo Method -- 5. Some Important Distributions and Theorems -- 6. Samples -- 7. The Method of Maximum Likelihood -- 8. Testing Statistical Hypotheses -- 9. The Method of Least Squares -- 10. Function Minimization -- 11. Analysis of Variance -- 12. Linear and Polynomial Regression -- 13. Time Series Analysis -- A. Matrix Calculations -- B. Combinatorics -- C. Formulas and Programs for Statistical Functions -- D. The Gamma Function and Related Functions. Methods and Programs for their Computation -- E. Utility Programs -- F. The Graphics Programming Package GRPACK -- G. Software Installation and Technical Hints -- H. Collection of Formulas -- I. Statistical Tables.