Language English 40 Undetermined 1. Displaying Editions 1 - 10 out of First Prev 1 2 3 Next Last. Introduction to probability and statistics : principles and applications for engineering and the computing sciences by Janet Susan Milton; Jesse C Arnold. Print book. Introduction to probability and statistics : principles and applications for engineering and the computing sciences by J Susan Milton; Jesse C Arnold.
Introduction to probability and statistics : principles and applications for engineering and the computing sciences by J S Milton; Jesse C Arnold.
Introduction to probability and statistics : principles and applications for engineering and the computing sciences by J Susan Milton; Jesse C Arnold;.
Introduction to probability and statistic : principles and applications for engineering and computing science by J Susan Milton; Jesse C Arnold. Home About Help Search. This latest edition is also available in as an enhanced Pearson eText.
This exciting new version features an embedded version of StatCrunch, allowing students to analyze data sets while reading the book. Also available with MyStatLab MyStatLab tm is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results.
Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts. Instructors, contact your Pearson representative for more information. 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.
The examples, exercises, and applications were chosen specifically for students in engineering and computer science and include opportunities for real data analysis. Author : Jill S. Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Author : M. The software programs make the book unique.
The book comes with a CD containing the interactive software leading to the Statistical Genie. The student can issue commands repeatedly while making parameter changes to observe the effects. Computer programming is an excellent skill for problem solvers, involving design, prototyping, data gathering, testing, redesign, validating, etc, all wrapped up in the scientific method. Author : Andrei D.
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