Statistical Methods for Engineering and Sciences

Contents: Preface. 1. Descriptive statistics. 2. Elements of probability. 3. Random variables and expectation. 4. Special discrete probability distributions. 5. Special continuous probability distributions. 6. Correlation and regression. 7. Sampling distributions and large sample estimation. 8. Exact sampling distributions and small sample testing. 9. Analysis of variance. 10. Statistical quality control. 11. Acceptance sampling. 12. Stochastic processes. Appendix. References. Index.

"The text, divided in chapters 1-12, has been designed for a course on statistical methods for students in engineering, mathematics, statistics, economics and natural sciences. Topics have been introduced and developed in a manner to help the readers for a hassle free study. Each chapter includes a vast collection of examples, review exercises, and a problem set along with the answers. The book can be adopted for either a one or two semester course on statistical methods and applications."  (jacket)