This book offers an introduction to concepts of probability theory, probability distributions relevant in the applied sciences, as well as basics of sampling distributions, estimation and hypothesis testing. As a companion for classes for engineers and scientists, the book also covers applied topics such as model building and experiment design.
It provides a practical approach to probability and statistical methods and focuses on real engineering applications and real engineering solutions while including material on the bootstrap, increased emphasis on the use of p-value, coverage of equivalence testing, and combining p-values. The base content, examples, exercises and answers presented in this product have been meticulously checked for accuracy.
Pages : | 604 pages |
Size : | PDF (582 pages) and ePub |
File type : | |
Downloads: | 21 |
Created: | 2020-08-30 |
License: | CC BY-NC-ND |
Author(s): | Arak M. Mathai, Hans J. Haubold |
Discrete Structures for Computer Science: Counting, Recursion, and Probability
Introduction to Probability, Statistics, and Random Processes
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