Probability, Statistics, and Reliability for Engineers and Scientists by Richard
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Probability, Statistics, and Reliability for Engineers and Scientists by Richard
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eBay-Artikelnr.:275448729520
Artikelmerkmale
- Artikelzustand
- Subject
- Statistics
- ISBN
- 9781439809518
Über dieses Produkt
Product Identifiers
Publisher
Taylor & Francis Group
ISBN-10
1439809518
ISBN-13
9781439809518
eBay Product ID (ePID)
109221318
Product Key Features
Number of Pages
664 Pages
Language
English
Publication Name
Probability, Statistics, and Reliability for Engineers and Scientists
Publication Year
2011
Subject
Engineering (General), Probability & Statistics / General, General, Quality Control
Type
Textbook
Subject Area
Mathematics, Technology & Engineering, Business & Economics
Format
Hardcover
Dimensions
Item Height
1.7 in
Item Weight
48.9 Oz
Item Length
10.4 in
Item Width
7.4 in
Additional Product Features
Edition Number
3
Intended Audience
College Audience
LCCN
2011-019321
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.502/462
Table Of Content
Introduction. Data Description and Treatment. Fundamentals of Probability. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables. Multiple Random Variables. Simulation. Fundamentals of Statistical Analysis. Hypothesis Testing. Analysis of Variance. Confidence Intervals and Sample Size Determination. Regression Analysis. Multiple and Nonlinear Regression Analysis. Reliability Analysis of Components. Reliability and Risk Analysis of Systems. Bayesian Methods. Appendices. Index.
Edition Description
Revised edition,New Edition
Synopsis
In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential. Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making. The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods. Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications., The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. It places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This edition also features expanded discussions of the analysis of variance and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.
LC Classification Number
TA330
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