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Probability,Statistics,and Reliability for Engineers and Scientists Book

Probability,Statistics,and Reliability for Engineers and Scientists
Probability,Statistics,and Reliability for Engineers and Scientists, 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 i, Probability,Statistics,and Reliability for Engineers and Scientists has a rating of 4.5 stars
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Probability,Statistics,and Reliability for Engineers and Scientists, 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 i, Probability,Statistics,and Reliability for Engineers and Scientists
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  • Probability,Statistics,and Reliability for Engineers and Scientists
  • Written by author Bilal M. Ayyub
  • Published by Taylor & Francis, Inc., January 2003
  • 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 i
  • 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 i
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Book Categories

Authors

Ch. 1Introduction1
Types of Uncertainty5
Introduction to Simulation9
Ch. 2Data Description and Treatment25
Classification of Data26
Graphical Description of Data28
Histograms and Frequency Diagrams36
Descriptive Measures39
Applications46
Analysis of Simulated Data49
Ch. 3Fundamentals of Probability63
Sample Spaces, Sets, and Events64
Mathematics of Probability69
Random Variables and their Probability Distributions83
Moments91
Application: Water Supply and Quality101
Simulation and Probability Distribution102
Ch. 4Probability Distributions for Discrete Random Variables111
Bernoulli Distribution112
Binomial Distribution113
Geometric Distribution115
Poisson Distribution116
Negative Binomial and Pascal Probability Distributions118
Hypergeometric Probability Distribution118
Applications119
Simulation of Discrete Random Variables121
Ch. 5Probability Distributions for Continuous Random Variables131
Uniform Distribution132
Normal Distribution134
Lognormal Distribution138
Exponential Distribution141
Triangular Distribution143
Gamma Distribution144
Rayleigh Distribution145
Statistical Probability Distributions146
Extreme Value Distributions149
Applications155
Simulation and Probability Distributions157
Ch. 6Multiple Random Variables165
Joint Random Variables and their Probability Distributions166
Functions of Random Variables182
Applications192
Multivariable Simulation199
Ch. 7Simulation215
Monte Carlo Simulation221
Random Numbers222
Generation of Random Variables225
Generation of Selected Discrete Random Variables232
Generation of Selected Continuous Random Variables238
Applications242
Ch. 8Fundamentals of Statistical Analysis259
Estimation of Parameters261
Sampling Distributions276
Applications280
Ch. 9Hypothesis Testing289
General Procedure290
Hypothesis Tests of Means295
Hypothesis Tests of Variances302
Tests of Distributions308
Applications319
Simulation of Hypothesis Test Assumptions326
Ch. 10Analysis of Variance335
Test of Population Means336
Multiple Comparisons in the ANOVA Test345
Test of Population Variances349
Randomized Block Design351
Two-Way Analysis of Variance357
Applications370
Ch. 11Confidence Intervals and Sample Size Determination379
General Procedure380
Confidence Intervals on Sample Statistics381
Sample-Size Determination384
Applications387
Ch. 12Regression Analysis393
Correlation Analysis394
Introduction to Regression404
Principle of Least Squares409
Reliability of the Regression Equation412
Reliability of Point Estimates of the Regression Coefficients420
Confidence Intervals of the Regression Equation423
Correlation vs. Regression428
Applications of Bivariate Regression Analysis429
Simulation and Prediction Models437
Ch. 13Multiple and Nonlinear Regression Analysis447
Correlation Analysis448
Multiple Regression Analysis450
Polynomial Regression Analysis459
Regression Analysis of Power Models464
Applications466
Simulation in Curvilinear Modeling478
Ch. 14Reliability Analysis of Components485
Time to Failure486
Reliability of Components489
First-Order Reliability Method491
Advanced Second-Moment Method496
Simulation Methods509
Reliability-Based Design519
Application: Structural Reliability of a Pressure Vessel525
Ch. 15Reliability and Risk Analysis of Systems535
Reliability of Systems537
Risk Analysis551
Risk-Based Decision Analysis557
Application: System Reliability of a Post-Tensioned Truss562
Ch. 16Bayesian Methods569
Bayesian Probabilities570
Bayesian Estimation of Parameters575
Bayesian Statistics584
App. AProbability and Statistics Tables595
App. BTaylor Series Expansion613
App. CData for Simulation Projects621
Index625


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