{"id":79049,"date":"2024-10-17T18:28:27","date_gmt":"2024-10-17T18:28:27","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/asce-9780784408919-2007\/"},"modified":"2024-10-24T19:38:56","modified_gmt":"2024-10-24T19:38:56","slug":"asce-9780784408919-2007","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/asce\/asce-9780784408919-2007\/","title":{"rendered":"ASCE 9780784408919 2007"},"content":{"rendered":"
Singh, Jain, and Tyagi present the key concepts of risk and reliability that apply to a wide array of problems in civil and environmental engineering.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
8<\/td>\n | Table of Contents <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | Preface <\/td>\n<\/tr>\n | ||||||
15<\/td>\n | Acknowledgments <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | Part I: Preliminaries <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | Chapter 1 Rational Decision Making Under Uncertainty <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | 1.1 Problems Requiring Decision Making <\/td>\n<\/tr>\n | ||||||
23<\/td>\n | 1.2 Concept of Rationality <\/td>\n<\/tr>\n | ||||||
25<\/td>\n | 1.3 Evaluation of Alternatives <\/td>\n<\/tr>\n | ||||||
28<\/td>\n | 1.4 Dealing with Uncertainty <\/td>\n<\/tr>\n | ||||||
33<\/td>\n | 1.5 Decision-Making Policy <\/td>\n<\/tr>\n | ||||||
45<\/td>\n | 1.6 Sources of Uncertainties <\/td>\n<\/tr>\n | ||||||
46<\/td>\n | 1.7 Rational Decision Making <\/td>\n<\/tr>\n | ||||||
47<\/td>\n | 1.8 Questions <\/td>\n<\/tr>\n | ||||||
51<\/td>\n | Chapter 2 Elements of Probability <\/td>\n<\/tr>\n | ||||||
52<\/td>\n | 2.1 Random Variables <\/td>\n<\/tr>\n | ||||||
63<\/td>\n | 2.2 Elements of Probability <\/td>\n<\/tr>\n | ||||||
77<\/td>\n | 2.3 Conditional Probability and Independence <\/td>\n<\/tr>\n | ||||||
80<\/td>\n | 2.4 Total Probability and Bayes\u2019s Formula <\/td>\n<\/tr>\n | ||||||
84<\/td>\n | 2.5 Probability Distribution <\/td>\n<\/tr>\n | ||||||
99<\/td>\n | 2.6 Function of a Random Variable <\/td>\n<\/tr>\n | ||||||
104<\/td>\n | 2.7 Questions <\/td>\n<\/tr>\n | ||||||
110<\/td>\n | Chapter 3 Moments and Expectation <\/td>\n<\/tr>\n | ||||||
111<\/td>\n | 3.1 Expectation <\/td>\n<\/tr>\n | ||||||
115<\/td>\n | 3.2 Moments <\/td>\n<\/tr>\n | ||||||
118<\/td>\n | 3.3 Moment-Generating Functions <\/td>\n<\/tr>\n | ||||||
120<\/td>\n | 3.4 Characteristic Functions <\/td>\n<\/tr>\n | ||||||
121<\/td>\n | 3.5 Characterization of a Single Random 1Variable <\/td>\n<\/tr>\n | ||||||
140<\/td>\n | 3.6 Two Random Variables <\/td>\n<\/tr>\n | ||||||
152<\/td>\n | 3.7 Functions of Random Variables <\/td>\n<\/tr>\n | ||||||
154<\/td>\n | 3.8 Questions <\/td>\n<\/tr>\n | ||||||
162<\/td>\n | Part II: Probability Distributions and Parameter Estimation <\/td>\n<\/tr>\n | ||||||
164<\/td>\n | Chapter 4 Discrete and Continuous Probability Distributions <\/td>\n<\/tr>\n | ||||||
165<\/td>\n | 4.1 Simple Discrete Random Trials <\/td>\n<\/tr>\n | ||||||
181<\/td>\n | 4.2 Models for Random Occurrences <\/td>\n<\/tr>\n | ||||||
195<\/td>\n | 4.3 Summary of Distributions 4.4 Questions <\/td>\n<\/tr>\n | ||||||
202<\/td>\n | Chapter 5 Limit and Other Distributions <\/td>\n<\/tr>\n | ||||||
203<\/td>\n | 5.1 Normal Distribution: Model of Sums <\/td>\n<\/tr>\n | ||||||
213<\/td>\n | 5.2 Central Limit Theorem <\/td>\n<\/tr>\n | ||||||
219<\/td>\n | 5.3 Log-Normal Distribution: Product of Variables <\/td>\n<\/tr>\n | ||||||
226<\/td>\n | 5.4 Distribution of Extremes <\/td>\n<\/tr>\n | ||||||
245<\/td>\n | 5.5 Other Distributions <\/td>\n<\/tr>\n | ||||||
262<\/td>\n | 5.6 Questions <\/td>\n<\/tr>\n | ||||||
267<\/td>\n | Chapter 6 Impulse Response Functions as Probability Distributions <\/td>\n<\/tr>\n | ||||||
269<\/td>\n | 6.1 Hypothesis <\/td>\n<\/tr>\n | ||||||
270<\/td>\n | 6.2 Impulse Responses of Linear Systems <\/td>\n<\/tr>\n | ||||||
281<\/td>\n | 6.3 Application <\/td>\n<\/tr>\n | ||||||
284<\/td>\n | 6.4 Summary 6.5 Questions <\/td>\n<\/tr>\n | ||||||
287<\/td>\n | Chapter 7 Multivariate Probability Distributions <\/td>\n<\/tr>\n | ||||||
288<\/td>\n | 7.1 Existing Multivariate Distributions <\/td>\n<\/tr>\n | ||||||
309<\/td>\n | 7.2 Return Period <\/td>\n<\/tr>\n | ||||||
310<\/td>\n | 7.3 Derivation of Multivariate Distributions <\/td>\n<\/tr>\n | ||||||
326<\/td>\n | 7.4 Questions <\/td>\n<\/tr>\n | ||||||
328<\/td>\n | Chapter 8 Parameter Estimation <\/td>\n<\/tr>\n | ||||||
329<\/td>\n | 8.1 Methods of Parameter Estimation <\/td>\n<\/tr>\n | ||||||
351<\/td>\n | 8.2 Assessment of Parameter Accuracy <\/td>\n<\/tr>\n | ||||||
359<\/td>\n | 8.3 Interval Estimation of Parameters <\/td>\n<\/tr>\n | ||||||
368<\/td>\n | 8.4 Questions <\/td>\n<\/tr>\n | ||||||
371<\/td>\n | Chapter 9 Entropy Theory and Its Applications in Risk Analysis <\/td>\n<\/tr>\n | ||||||
372<\/td>\n | 9.1 History and Meaning of Entropy <\/td>\n<\/tr>\n | ||||||
375<\/td>\n | 9.2 Principle of Maximum Entropy <\/td>\n<\/tr>\n | ||||||
381<\/td>\n | 9.3 Derivation of Parameters of the Normal Distribution Using Entropy <\/td>\n<\/tr>\n | ||||||
389<\/td>\n | 9.4 Determination of Parameters of the Gamma Distribution <\/td>\n<\/tr>\n | ||||||
396<\/td>\n | 9.5 Application of Entropy Theory in Environmental and Water Resources <\/td>\n<\/tr>\n | ||||||
404<\/td>\n | 9.6 Closure <\/td>\n<\/tr>\n | ||||||
405<\/td>\n | 9.7 Questions <\/td>\n<\/tr>\n | ||||||
408<\/td>\n | Part III: Uncertainty Analysis <\/td>\n<\/tr>\n | ||||||
410<\/td>\n | Chapter 10 Error and Uncertainty Analysis <\/td>\n<\/tr>\n | ||||||
411<\/td>\n | 10.1 Types of Uncertainty <\/td>\n<\/tr>\n | ||||||
415<\/td>\n | 10.2 Sources of Uncertainty: Types of Errors <\/td>\n<\/tr>\n | ||||||
416<\/td>\n | 10.3 Analysis of Errors <\/td>\n<\/tr>\n | ||||||
444<\/td>\n | 10.4 Questions <\/td>\n<\/tr>\n | ||||||
452<\/td>\n | Chapter 11 Monte Carlo Simulation <\/td>\n<\/tr>\n | ||||||
453<\/td>\n | 11.1 Basics of Monte Carlo Simulation <\/td>\n<\/tr>\n | ||||||
454<\/td>\n | 11.2 Generation of Random Numbers <\/td>\n<\/tr>\n | ||||||
457<\/td>\n | 11.3 Continuous Random Variates <\/td>\n<\/tr>\n | ||||||
462<\/td>\n | 11.4 Discrete Random Variates <\/td>\n<\/tr>\n | ||||||
463<\/td>\n | 11.5 Jointly Distributed Random Variates <\/td>\n<\/tr>\n | ||||||
465<\/td>\n | 11.6 Simulation of Systems with Random Inputs <\/td>\n<\/tr>\n | ||||||
489<\/td>\n | 11.7 Monte Carlo Integration <\/td>\n<\/tr>\n | ||||||
490<\/td>\n | 11.8 Variance Reduction Techniques <\/td>\n<\/tr>\n | ||||||
495<\/td>\n | 11.9 Reducing Parameter Uncertainty <\/td>\n<\/tr>\n | ||||||
496<\/td>\n | 11.10 Uncertainty and Sensitivity Analysis Using Monte Carlo Simulation <\/td>\n<\/tr>\n | ||||||
499<\/td>\n | 11.11 Questions <\/td>\n<\/tr>\n | ||||||
501<\/td>\n | Chapter 12 Stochastic Processes <\/td>\n<\/tr>\n | ||||||
502<\/td>\n | 12.1 Mean and Variance <\/td>\n<\/tr>\n | ||||||
503<\/td>\n | 12.2 Covariance and Correlation <\/td>\n<\/tr>\n | ||||||
509<\/td>\n | 12.3 Stationarity <\/td>\n<\/tr>\n | ||||||
511<\/td>\n | 12.4 Correlogram <\/td>\n<\/tr>\n | ||||||
513<\/td>\n | 12.5 Spectral Density <\/td>\n<\/tr>\n | ||||||
518<\/td>\n | 12.6 Stochastic Processes <\/td>\n<\/tr>\n | ||||||
523<\/td>\n | 12.7 Time Series Analysis <\/td>\n<\/tr>\n | ||||||
528<\/td>\n | 12.8 Questions <\/td>\n<\/tr>\n | ||||||
530<\/td>\n | Chapter 13 Stochastic Differential Equations <\/td>\n<\/tr>\n | ||||||
531<\/td>\n | 13.1 Ordinary Differential Equations <\/td>\n<\/tr>\n | ||||||
532<\/td>\n | 13.2 Partial Differential Equations 13.3 Stochastic Differential Equations <\/td>\n<\/tr>\n | ||||||
533<\/td>\n | 13.4 Fundamental Concepts in Solving SDEs <\/td>\n<\/tr>\n | ||||||
573<\/td>\n | 13.5 Questions <\/td>\n<\/tr>\n | ||||||
576<\/td>\n | Part IV: Risk and Reliability Analysis <\/td>\n<\/tr>\n | ||||||
578<\/td>\n | Chapter 14 Reliability Analysis and Estimation <\/td>\n<\/tr>\n | ||||||
579<\/td>\n | 14.1 Approaches to Reliability Evaluation <\/td>\n<\/tr>\n | ||||||
591<\/td>\n | 14.2 Reliability Analysis Methods <\/td>\n<\/tr>\n | ||||||
649<\/td>\n | 14.3 Reliability Analysis of Dynamic Systems <\/td>\n<\/tr>\n | ||||||
658<\/td>\n | 14.4 Reliability Analysis of a Multicomponent System <\/td>\n<\/tr>\n | ||||||
662<\/td>\n | 14.5 Reliability Programming <\/td>\n<\/tr>\n | ||||||
672<\/td>\n | 14.6 Reliability-Based Design <\/td>\n<\/tr>\n | ||||||
679<\/td>\n | 14.7 Questions <\/td>\n<\/tr>\n | ||||||
684<\/td>\n | Chapter 15 Risk Analysis and Management 15.1 Basic Definitions <\/td>\n<\/tr>\n | ||||||
690<\/td>\n | 15.2 Risk and Its Classification <\/td>\n<\/tr>\n | ||||||
695<\/td>\n | 15.3 Risk Criteria <\/td>\n<\/tr>\n | ||||||
696<\/td>\n | 15.4 Risk Assessment and Management <\/td>\n<\/tr>\n | ||||||
706<\/td>\n | 15.5 Risk Modeling <\/td>\n<\/tr>\n | ||||||
712<\/td>\n | 15.6 Decision Making Under Uncertainty <\/td>\n<\/tr>\n | ||||||
725<\/td>\n | 15.7 Questions <\/td>\n<\/tr>\n | ||||||
727<\/td>\n | Chapter 16 Reliability Analysis of Water Distribution Networks <\/td>\n<\/tr>\n | ||||||
728<\/td>\n | 16.1 Relevant Principles of Hydraulics <\/td>\n<\/tr>\n | ||||||
735<\/td>\n | 16.2 Analysis of a WDN <\/td>\n<\/tr>\n | ||||||
741<\/td>\n | 16.3 Reliability of a WDN <\/td>\n<\/tr>\n | ||||||
759<\/td>\n | 16.4 Reliability Analysis of a WDN Using the Entropy Concept <\/td>\n<\/tr>\n | ||||||
763<\/td>\n | 16.5 Questions <\/td>\n<\/tr>\n | ||||||
766<\/td>\n | References <\/td>\n<\/tr>\n | ||||||
784<\/td>\n | Index A B <\/td>\n<\/tr>\n | ||||||
785<\/td>\n | C <\/td>\n<\/tr>\n | ||||||
786<\/td>\n | D <\/td>\n<\/tr>\n | ||||||
787<\/td>\n | E <\/td>\n<\/tr>\n | ||||||
788<\/td>\n | F <\/td>\n<\/tr>\n | ||||||
789<\/td>\n | G <\/td>\n<\/tr>\n | ||||||
790<\/td>\n | H I J K <\/td>\n<\/tr>\n | ||||||
791<\/td>\n | L M <\/td>\n<\/tr>\n | ||||||
792<\/td>\n | N <\/td>\n<\/tr>\n | ||||||
793<\/td>\n | O P <\/td>\n<\/tr>\n | ||||||
794<\/td>\n | Q R <\/td>\n<\/tr>\n | ||||||
795<\/td>\n | S <\/td>\n<\/tr>\n | ||||||
796<\/td>\n | T <\/td>\n<\/tr>\n | ||||||
797<\/td>\n | U V W <\/td>\n<\/tr>\n | ||||||
798<\/td>\n | Y Z <\/td>\n<\/tr>\n | ||||||
800<\/td>\n | About the Authors <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Risk and Reliability Analysis<\/b><\/p>\n |