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9780849326905: Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition

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Engineers commonly encounter problems that require them to make decisions under conditions of uncertainty. The uncertainty can be in the definition of the problem, the available information, the alternative solutions and their results, or the random nature of the solution outcomes. As engineers are required to solve increasingly complex design problems with limited resources, they must rely more and more on the proper treatment of uncertainty to make the best decisions. Probability, Statistics, and Reliability for Engineers will assist both engineering students and practicing engineers in understanding the fundamentals of probability, statistics, and reliability methods, especially their applications, limitations, and potentials.

Full of examples, this practical guide allows engineers to model very complex situations and predict an array of possible outcomes. It will also show readers how to write computational algorithms to solve probability and statistical problems.

Among the many examples cited are:

  • Time to Failure of Cranes
  • Discharge and Flow of Rivers
  • Hydraulic Pump Reliability
  • Predicting Defects in Manufacturing
  • Nuclear Reactor Reliability
  • Traffic Flow Patterns

    For each chapter in the book, computational examples are given in individual sections, and more detailed engineering applications are presented in a concluding section. Each chapter also includes exercise problems covering the material presented, which will assist readers in practicing the fundamental concepts. Probability, Statistics, and Reliability for Engineers provides a well-rounded introduction to these methods for students in engineering, mathematics, and statistics; practicing engineers in all disciplines; and mathematicians and scientists.
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    Contenuti

    INTRODUCTION
    TYPES OF UNCERTAINTY
    TAYLOR SERIES EXPANSION
    DATA DESCRIPTION AND TREATMENT
    Introduction
    Classification of Data
    Graphical Description of Data
    Histograms and Frequency Diagrams
    Descriptive Measures
    Applications
    Problems
    FUNDAMENTALS OF PROBABILITY
    Introduction
    Sample Spaces, Sets, and Events
    Mathematics of Probability
    Random Variables and Their Probability Distributions
    Moment
    Common Discrete Probability Distributions
    Common Continuous Probability Distributions
    Applications
    Problems
    MULTIPLE RANDOM VARIABLES
    Introduction
    Joint Random Variables and Their
    Functions of Random Variables
    Applications
    Problems
    FUNDAMENTALS OF STATISTICAL ANALYSIS
    Introduction
    Estimation of Parameters
    Sampling Distributions
    Hypothesis Testing: Procedure
    Hypothesis Tests of Means
    Hypothesis Tests of Variances
    Confidence Intervals
    Sample-Size Determination
    Selection of Model Probability Distributions
    Applications
    Problems
    CURVE FITTING AND REGRESSION ANALYSIS
    Introduction
    Correlation Analysis
    Introduction to Regression
    Principle of Least Squares
    Reliability of the Regression Equation
    Reliability of Point Estimates of the Regression Coefficients
    Confidence Intervals of the Regression Equation
    Correlation Versus Regression
    Applications of Bivariate Regression Analysis
    Multiple Regression Analysis
    Regression Analysis of Nonlinear Models
    Applications
    Problems
    SIMULATION
    Introduction
    Monte Carlo Simulation
    Random Numbers
    Generation of Random Variables
    Generation of Selected Discrete Random Variables
    Generation of Selected Continuous Random Variables
    Applications
    Problems
    RELIABILITY AND RISK ANALYSIS
    Introduction
    Time to Failure
    Reliability of Components
    Reliability of Systems
    Risk-Based Decision Analysis
    Applications
    Problems
    BAYESIAN METHODS
    Introduction
    Bayesian Probabilities
    Bayesian Estimation of Parameters
    Bayesian Statistics
    Applications
    Problems
    APPENDIX A: Probability and Statistics Tables
    APPENDIX B: Values of the Gamma Function
    SUBJECT INDEX

    Product Description

    Book by Ayyub Bilal M McCuen Richard H

    Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

    • EditoreCRC Press
    • Data di pubblicazione1997
    • ISBN 10 0849326907
    • ISBN 13 9780849326905
    • RilegaturaCopertina rigida
    • LinguaInglese
    • Numero edizione1
    • Numero di pagine528

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    9781584882862: Probability, Statistics, and Reliability for Engineers and Scientists, Second Edition

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    ISBN 10:  1584882867 ISBN 13:  9781584882862
    Casa editrice: Chapman and Hall/CRC, 2002
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