Probability Statistics and Reliability for Engineers and Scientists (Record no. 221946)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06827nam a22002537a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220318164815.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220318b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780367111700 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 519.502462 |
| Item number | AYYP |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bilal M Ayyub and others |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 24237 |
| 245 ## - TITLE STATEMENT | |
| Title | Probability Statistics and Reliability for Engineers and Scientists |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 3 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | London |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxiii,639 p. |
| Other physical details | PB |
| Dimensions | 24x17 cm. |
| 365 ## - TRADE PRICE | |
| Price type code | 6321 |
| Price amount | ₹876.00 |
| Currency code | ₹ |
| Unit of pricing | ₹1095.00 |
| Price note | 20?% |
| Price effective from | 08-03-2022 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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.<br/>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.<br/>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.<br/>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.<br/><br/> |
| Expansion of summary note | Table of Contents<br/>Introduction<br/>Knowledge, Information, and Opinions<br/>Ignorance and Uncertainty<br/>Aleatory and Epistemic Uncertainties in System Abstraction<br/>Characterizing and Modeling Uncertainty<br/>Simulation for Uncertainty Analysis and Propagation<br/>Simulation Projects<br/><br/>Data Description and Treatment<br/>Introduction<br/>Classification of Data<br/>Graphical Description of Data<br/>Histograms and Frequency Diagrams<br/>Descriptive Measures<br/>Applications<br/>Analysis of Simulated Data<br/>Simulation Projects<br/><br/>Fundamentals of Probability<br/>Introduction<br/>Sets, Sample Spaces, and Events<br/>Mathematics of Probability<br/>Random Variables and Their Probability Distributions<br/>Moments<br/>Application: Water Supply and Quality<br/>Simulation and Probability Distributions<br/>Simulation Projects<br/><br/>Probability Distributions for Discrete Random Variables<br/>Introduction<br/>Bernoulli Distribution<br/>Binomial Distribution<br/>Geometric Distribution<br/>Poisson Distribution<br/>Negative Binomial and Pascal Probability Distributions<br/>Hypergeometric Probability Distribution<br/>Applications<br/>Simulation of Discrete Random Variables<br/>A Summary of Distributions<br/>Simulation Projects<br/><br/>Probability Distributions for Continuous Random Variables<br/>Introduction<br/>Uniform Distribution<br/>Normal Distribution<br/>Lognormal Distribution<br/>Exponential Distribution<br/>Triangular Distribution<br/>Gamma Distribution<br/>Rayleigh Distribution<br/>Beta Distribution<br/>Statistical Probability Distributions<br/>Extreme Value Distributions<br/>Applications<br/>Simulation and Probability Distributions<br/>A Summary of Distributions<br/>Simulation Projects<br/><br/>Multiple Random Variables<br/>Introduction<br/>Joint Random Variables and Their Probability Distributions<br/>Functions of Random Variables<br/>Modeling Aleatory and Epistemic Uncertainty<br/>Applications<br/>Multivariable Simulation<br/>Simulation Projects<br/><br/>Simulation<br/>Introduction<br/>Monte Carlo Simulation<br/>Random Numbers<br/>Generation of Random Variables<br/>Generation of Selected Discrete Random Variables<br/>Generation of Selected Continuous Random Variables<br/>Applications<br/>Simulation Projects<br/><br/>Fundamentals of Statistical Analysis<br/>Introduction<br/>Properties of Estimators<br/>Method-of-Moments Estimation<br/>Maximum Likelihood Estimation<br/>Sampling Distributions<br/>Univariate Frequency Analysis<br/>Applications<br/>Simulation Projects<br/><br/>Hypothesis Testing<br/>Introduction<br/>General Procedure<br/>Hypothesis Tests of Means<br/>Hypothesis Tests of Variances<br/>Tests of Distributions<br/>Applications<br/>Simulation of Hypothesis Test Assumptions<br/>Simulation Projects<br/><br/>Analysis of Variance<br/>Introduction<br/>Test of Population Means<br/>Multiple Comparisons in the ANOVA Test<br/>Test of Population Variances<br/>Randomized Block Design<br/>Two-Way ANOVA<br/>Experimental Design<br/>Applications<br/>Simulation Projects<br/><br/>Confidence Intervals and Sample-Size Determination<br/>Introduction<br/>General Procedure<br/>Confidence Intervals on Sample Statistics<br/>Sample Size Determination<br/>Relationship between Decision Parameters and Types I and II Errors<br/>Quality Control<br/>Applications<br/>Simulation Projects<br/><br/>Regression Analysis<br/>Introduction<br/>Correlation Analysis<br/>Introduction to Regression<br/>Principle of Least Squares<br/>Reliability of the Regression Equation<br/>Reliability of Point Estimates of the Regression Coefficients<br/>Confidence Intervals of the Regression Equation<br/>Correlation versus Regression<br/>Applications of Bivariate Regression Analysis<br/>Simulation and Prediction Models<br/>Simulation Projects<br/><br/>Multiple and Nonlinear Regression Analysis<br/>Introduction<br/>Correlation Analysis<br/>Multiple Regression Analysis<br/>Polynomial Regression Analysis<br/>Regression Analysis of Power Models<br/>Applications<br/>Simulation in Curvilinear Modeling<br/>Simulation Projects<br/><br/>Reliability Analysis of Components<br/>Introduction<br/>Time to Failure<br/>Reliability of Components<br/>First-Order Reliability Method<br/>Advanced Second-Moment Method<br/>Simulation Methods<br/>Reliability-Based Design<br/>Application: Structural reliability of a Pressure Vessel<br/>Simulation Projects<br/><br/>Reliability and Risk Analysis of Systems<br/>Introduction<br/>Reliability of Systems<br/>Risk Analysis<br/>Risk-Based Decision Analysis<br/>Application: System Reliability of a Post-Tensioned Truss<br/>Simulation Projects<br/><br/>Bayesian Methods<br/>Introduction<br/>Bayesian Probabilities<br/>Bayesian Estimation of Parameters<br/>Bayesian Statistics<br/>Applications |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Engineering Mathematics |
| 9 (RLIN) | 24238 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Reliability |
| 9 (RLIN) | 24239 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | AYYUB (Bilal M) |
| 9 (RLIN) | 24240 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | MCCUEN (Richard H) |
| 9 (RLIN) | 24241 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Statistics | St Aloysius Library | St Aloysius Library | 03/18/2022 | Biblios Book Point | 876.00 | 519.502462 AYYP | 075623 | 03/18/2022 | 1095.00 | 03/18/2022 | Book |
