<p><p>The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedu
Introduction to probability and statistics for engineers
β Scribed by Milan HolickΓ½ (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2013
- Tongue
- English
- Leaves
- 188
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The theory of probability and mathematical statistics is becoming an indispensable discipline in many branches of science and engineering. This is caused by increasing significance of various uncertainties affecting performance of complex technological systems. Fundamental concepts and procedures used in analysis of these systems are often based on the theory of probability and mathematical statistics.
The book sets out fundamental principles of the probability theory, supplemented by theoretical models of random variables, evaluation of experimental data, sampling theory, distribution updating and tests of statistical hypotheses. Basic concepts of Bayesian approach to probability and two-dimensional random variables, are also covered. Examples of reliability analysis and risk assessment of technological systems are used throughout the book to illustrate basic theoretical concepts and their applications.
The primary audience for the book includes undergraduate and graduate students of science and engineering, scientific workers and engineers and specialists in the field of reliability analysis and risk assessment. Except basic knowledge of undergraduate mathematics no special prerequisite is required.
β¦ Table of Contents
Front Matter....Pages i-x
Introduction....Pages 1-4
Basic Concepts of Probability....Pages 5-28
Evaluation of Statistical Data....Pages 29-41
Distributions of Random Variables....Pages 43-52
Selected Models of Discrete Variables....Pages 53-62
Selected Models of Continuous Variables....Pages 63-78
Functions of Random Variables....Pages 79-93
Estimations of Population Parameters....Pages 95-107
Fractiles of Random Variables....Pages 109-123
Testing of Statistical Hypotheses....Pages 125-138
Correlation and Regression....Pages 139-152
Random Functions....Pages 153-164
Back Matter....Pages 165-181
β¦ Subjects
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Engineering Design; Engineering, general; Probability Theory and Stochastic Processes
π SIMILAR VOLUMES
A textbook without any answers. Formulas given without any derivations. And, at least in the 3rd edition, errors that made it past the proofreaders that shouldn't have been missed!Example 2.3e, p22, a simple calculation to find the mean:x(bar) = (9+16+15+20+30+42)/40 = 3.05What did they use to calcu
This textbook provides a superior introduction to applied probability and statistics for engineering or science majors. The author emphasizes the manner in which probability yields insight into statistical problems; ultimately resulting in an intuitive understanding of the statistical procedures mos
<p><i>Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, </i>uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers and scientis
<p><span>Introduction to Probability and Statistics for Engineers and Scientists, Sixth Edition, </span><span>uniquely emphasizes how probability informs statistical problems, thus helping readers develop an intuitive understanding of the statistical procedures commonly used by practicing engineers