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Book Categories |
Ch. 1 | Introduction | 1 |
Types of Uncertainty | 5 | |
Introduction to Simulation | 9 | |
Ch. 2 | Data Description and Treatment | 25 |
Classification of Data | 26 | |
Graphical Description of Data | 28 | |
Histograms and Frequency Diagrams | 36 | |
Descriptive Measures | 39 | |
Applications | 46 | |
Analysis of Simulated Data | 49 | |
Ch. 3 | Fundamentals of Probability | 63 |
Sample Spaces, Sets, and Events | 64 | |
Mathematics of Probability | 69 | |
Random Variables and their Probability Distributions | 83 | |
Moments | 91 | |
Application: Water Supply and Quality | 101 | |
Simulation and Probability Distribution | 102 | |
Ch. 4 | Probability Distributions for Discrete Random Variables | 111 |
Bernoulli Distribution | 112 | |
Binomial Distribution | 113 | |
Geometric Distribution | 115 | |
Poisson Distribution | 116 | |
Negative Binomial and Pascal Probability Distributions | 118 | |
Hypergeometric Probability Distribution | 118 | |
Applications | 119 | |
Simulation of Discrete Random Variables | 121 | |
Ch. 5 | Probability Distributions for Continuous Random Variables | 131 |
Uniform Distribution | 132 | |
Normal Distribution | 134 | |
Lognormal Distribution | 138 | |
Exponential Distribution | 141 | |
Triangular Distribution | 143 | |
Gamma Distribution | 144 | |
Rayleigh Distribution | 145 | |
Statistical Probability Distributions | 146 | |
Extreme Value Distributions | 149 | |
Applications | 155 | |
Simulation and Probability Distributions | 157 | |
Ch. 6 | Multiple Random Variables | 165 |
Joint Random Variables and their Probability Distributions | 166 | |
Functions of Random Variables | 182 | |
Applications | 192 | |
Multivariable Simulation | 199 | |
Ch. 7 | Simulation | 215 |
Monte Carlo Simulation | 221 | |
Random Numbers | 222 | |
Generation of Random Variables | 225 | |
Generation of Selected Discrete Random Variables | 232 | |
Generation of Selected Continuous Random Variables | 238 | |
Applications | 242 | |
Ch. 8 | Fundamentals of Statistical Analysis | 259 |
Estimation of Parameters | 261 | |
Sampling Distributions | 276 | |
Applications | 280 | |
Ch. 9 | Hypothesis Testing | 289 |
General Procedure | 290 | |
Hypothesis Tests of Means | 295 | |
Hypothesis Tests of Variances | 302 | |
Tests of Distributions | 308 | |
Applications | 319 | |
Simulation of Hypothesis Test Assumptions | 326 | |
Ch. 10 | Analysis of Variance | 335 |
Test of Population Means | 336 | |
Multiple Comparisons in the ANOVA Test | 345 | |
Test of Population Variances | 349 | |
Randomized Block Design | 351 | |
Two-Way Analysis of Variance | 357 | |
Applications | 370 | |
Ch. 11 | Confidence Intervals and Sample Size Determination | 379 |
General Procedure | 380 | |
Confidence Intervals on Sample Statistics | 381 | |
Sample-Size Determination | 384 | |
Applications | 387 | |
Ch. 12 | Regression Analysis | 393 |
Correlation Analysis | 394 | |
Introduction to Regression | 404 | |
Principle of Least Squares | 409 | |
Reliability of the Regression Equation | 412 | |
Reliability of Point Estimates of the Regression Coefficients | 420 | |
Confidence Intervals of the Regression Equation | 423 | |
Correlation vs. Regression | 428 | |
Applications of Bivariate Regression Analysis | 429 | |
Simulation and Prediction Models | 437 | |
Ch. 13 | Multiple and Nonlinear Regression Analysis | 447 |
Correlation Analysis | 448 | |
Multiple Regression Analysis | 450 | |
Polynomial Regression Analysis | 459 | |
Regression Analysis of Power Models | 464 | |
Applications | 466 | |
Simulation in Curvilinear Modeling | 478 | |
Ch. 14 | Reliability Analysis of Components | 485 |
Time to Failure | 486 | |
Reliability of Components | 489 | |
First-Order Reliability Method | 491 | |
Advanced Second-Moment Method | 496 | |
Simulation Methods | 509 | |
Reliability-Based Design | 519 | |
Application: Structural Reliability of a Pressure Vessel | 525 | |
Ch. 15 | Reliability and Risk Analysis of Systems | 535 |
Reliability of Systems | 537 | |
Risk Analysis | 551 | |
Risk-Based Decision Analysis | 557 | |
Application: System Reliability of a Post-Tensioned Truss | 562 | |
Ch. 16 | Bayesian Methods | 569 |
Bayesian Probabilities | 570 | |
Bayesian Estimation of Parameters | 575 | |
Bayesian Statistics | 584 | |
App. A | Probability and Statistics Tables | 595 |
App. B | Taylor Series Expansion | 613 |
App. C | Data for Simulation Projects | 621 |
Index | 625 |
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Add 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 to your collection on WonderClub |