Introduction to Probability and Statistics for Engineers
Resource Information
The work Introduction to Probability and Statistics for Engineers represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Introduction to Probability and Statistics for Engineers
Resource Information
The work Introduction to Probability and Statistics for Engineers represents a distinct intellectual or artistic creation found in Boston University Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Introduction to Probability and Statistics for Engineers
 Statement of responsibility
 by Milan Holický
 Subject

 Engineering, general
 Engineering design
 Distribution (Probability theory)
 Probability Theory and Stochastic Processes
 Statistics
 Engineering design
 Distribution (Probability theory)
 Statistics
 Electronic resources
 Engineering
 Engineering
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
 Engineering
 Engineering Design
 Engineering Design
 Distribution (Probability theory)
 Language
 eng
 Summary
 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 twodimensional 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
 Image bit depth
 0
 LC call number
 QA276280
 Literary form
 non fiction
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