Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site
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Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering, 2e Instructor Site
Emphasis on Applications to Civil and Environmental Engineering
Ang, Alfredo H-S.; Tang, Wilson H.
John Wiley & Sons Inc
03/2006
432
Dura
Inglês
9780471720645
047172064X
15 a 20 dias
827
Thoroughly revised and updated, this second edition provides the basics of probability and statistical concepts in terms that are easily understood by engineers and engineering students. The basic principles are presented and illustrated through relevant problems to engineering and the physical sciences.
Chapter 1 -
Role of Probability and Statistics in Engineering
Chapter 2 -- Fundamentals of Probability Models
Chapter 3 -- Analytical Models of Random Phenomena
Chapter 4 -- Functions of Random Variables
Chapter 5 -
Computer-Based Numerical and Simulation Methods in Probability
Chapter 6 -- Statistical Inferences from Observational Data
Chapter 7 -- Determination of Probability Distribution Models
Chapter 8 -- Regression and Correlation Analyses
Chapter 9 -- The Bayesian Approach
Chapter 10 -
Elements of Quality Assurance and Acceptance Sampling
(Available only online at the Wiley web site)
Appendices:
Table A.1 -- Standard Normal Probabilities
Table A.2 -
CDF of the Binomial Distribution
Table A.3 -
Critical Values of t Distribution at Confidence Level (1- a)=p
Table A.4 -
Critical Values of the c2 Distribution at Confidence Level (1-a)=pTable A.5 -
Critical Values of Dna at Significance Level a in the K-S Test
Table A.6 -
Critical Values of the Anderson-Darling Goodness-of-fit Test
(for 4 specific distributions)
Role of Probability and Statistics in Engineering
Chapter 2 -- Fundamentals of Probability Models
Chapter 3 -- Analytical Models of Random Phenomena
Chapter 4 -- Functions of Random Variables
Chapter 5 -
Computer-Based Numerical and Simulation Methods in Probability
Chapter 6 -- Statistical Inferences from Observational Data
Chapter 7 -- Determination of Probability Distribution Models
Chapter 8 -- Regression and Correlation Analyses
Chapter 9 -- The Bayesian Approach
Chapter 10 -
Elements of Quality Assurance and Acceptance Sampling
(Available only online at the Wiley web site)
Appendices:
Table A.1 -- Standard Normal Probabilities
Table A.2 -
CDF of the Binomial Distribution
Table A.3 -
Critical Values of t Distribution at Confidence Level (1- a)=p
Table A.4 -
Critical Values of the c2 Distribution at Confidence Level (1-a)=pTable A.5 -
Critical Values of Dna at Significance Level a in the K-S Test
Table A.6 -
Critical Values of the Anderson-Darling Goodness-of-fit Test
(for 4 specific distributions)
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
introductory applied probability text; statistics for engineering textbook; university students probability text; probability concepts in engineering; probabilistic modeling; statistical inferences fundamentals; probability applications in civil engineering; probability applications environmental engineering; fundamentals of probability; statistics for engineering students; confidence intervals in regression analysis; real-world engineering problems; engineering and physical problems
Thoroughly revised and updated, this second edition provides the basics of probability and statistical concepts in terms that are easily understood by engineers and engineering students. The basic principles are presented and illustrated through relevant problems to engineering and the physical sciences.
Chapter 1 -
Role of Probability and Statistics in Engineering
Chapter 2 -- Fundamentals of Probability Models
Chapter 3 -- Analytical Models of Random Phenomena
Chapter 4 -- Functions of Random Variables
Chapter 5 -
Computer-Based Numerical and Simulation Methods in Probability
Chapter 6 -- Statistical Inferences from Observational Data
Chapter 7 -- Determination of Probability Distribution Models
Chapter 8 -- Regression and Correlation Analyses
Chapter 9 -- The Bayesian Approach
Chapter 10 -
Elements of Quality Assurance and Acceptance Sampling
(Available only online at the Wiley web site)
Appendices:
Table A.1 -- Standard Normal Probabilities
Table A.2 -
CDF of the Binomial Distribution
Table A.3 -
Critical Values of t Distribution at Confidence Level (1- a)=p
Table A.4 -
Critical Values of the c2 Distribution at Confidence Level (1-a)=pTable A.5 -
Critical Values of Dna at Significance Level a in the K-S Test
Table A.6 -
Critical Values of the Anderson-Darling Goodness-of-fit Test
(for 4 specific distributions)
Role of Probability and Statistics in Engineering
Chapter 2 -- Fundamentals of Probability Models
Chapter 3 -- Analytical Models of Random Phenomena
Chapter 4 -- Functions of Random Variables
Chapter 5 -
Computer-Based Numerical and Simulation Methods in Probability
Chapter 6 -- Statistical Inferences from Observational Data
Chapter 7 -- Determination of Probability Distribution Models
Chapter 8 -- Regression and Correlation Analyses
Chapter 9 -- The Bayesian Approach
Chapter 10 -
Elements of Quality Assurance and Acceptance Sampling
(Available only online at the Wiley web site)
Appendices:
Table A.1 -- Standard Normal Probabilities
Table A.2 -
CDF of the Binomial Distribution
Table A.3 -
Critical Values of t Distribution at Confidence Level (1- a)=p
Table A.4 -
Critical Values of the c2 Distribution at Confidence Level (1-a)=pTable A.5 -
Critical Values of Dna at Significance Level a in the K-S Test
Table A.6 -
Critical Values of the Anderson-Darling Goodness-of-fit Test
(for 4 specific distributions)
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
introductory applied probability text; statistics for engineering textbook; university students probability text; probability concepts in engineering; probabilistic modeling; statistical inferences fundamentals; probability applications in civil engineering; probability applications environmental engineering; fundamentals of probability; statistics for engineering students; confidence intervals in regression analysis; real-world engineering problems; engineering and physical problems
