Author: Jack R Benjamin
Publisher: Courier Corporation
ISBN: 0486780724
Category : Mathematics
Languages : en
Pages : 704
Book Description
"This text covers the development of decision theory and related applications of probability. Extensive examples and illustrations cultivate students' appreciation for applications, including strength of materials, soil mechanics, construction planning, and water-resource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"--
Probability, Statistics, and Decision for Civil Engineers
Author: Jack R Benjamin
Publisher: Courier Corporation
ISBN: 0486780724
Category : Mathematics
Languages : en
Pages : 704
Book Description
"This text covers the development of decision theory and related applications of probability. Extensive examples and illustrations cultivate students' appreciation for applications, including strength of materials, soil mechanics, construction planning, and water-resource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"--
Publisher: Courier Corporation
ISBN: 0486780724
Category : Mathematics
Languages : en
Pages : 704
Book Description
"This text covers the development of decision theory and related applications of probability. Extensive examples and illustrations cultivate students' appreciation for applications, including strength of materials, soil mechanics, construction planning, and water-resource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"--
Statistics and Probability Theory
Author: Michael Havbro Faber
Publisher: Springer Science & Business Media
ISBN: 9400740557
Category : Technology & Engineering
Languages : en
Pages : 198
Book Description
This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing decision making in engineering. The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. This work is suitable for readers with little or no prior knowledge on the subject of statistics and probability.
Publisher: Springer Science & Business Media
ISBN: 9400740557
Category : Technology & Engineering
Languages : en
Pages : 198
Book Description
This book provides the reader with the basic skills and tools of statistics and probability in the context of engineering modeling and analysis. The emphasis is on the application and the reasoning behind the application of these skills and tools for the purpose of enhancing decision making in engineering. The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. This work is suitable for readers with little or no prior knowledge on the subject of statistics and probability.
Decisions Under Uncertainty
Author: Ian Jordaan
Publisher: Cambridge University Press
ISBN: 9780521782777
Category : Business & Economics
Languages : en
Pages : 696
Book Description
Publisher Description
Publisher: Cambridge University Press
ISBN: 9780521782777
Category : Business & Economics
Languages : en
Pages : 696
Book Description
Publisher Description
Probabilistic Machine Learning for Civil Engineers
Author: James-A. Goulet
Publisher: MIT Press
ISBN: 0262358018
Category : Computers
Languages : en
Pages : 298
Book Description
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.
Publisher: MIT Press
ISBN: 0262358018
Category : Computers
Languages : en
Pages : 298
Book Description
An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.
Probability, Statistics, and Decisions for Civil Engineers
Author: J. Benjamin
Publisher:
ISBN: 9780070045583
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9780070045583
Category :
Languages : en
Pages :
Book Description
Applications of Statistics and Probability in Civil Engineering
Author: Michael Faber
Publisher: CRC Press
ISBN: 0203144791
Category : Technology & Engineering
Languages : en
Pages : 938
Book Description
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A
Publisher: CRC Press
ISBN: 0203144791
Category : Technology & Engineering
Languages : en
Pages : 938
Book Description
Under the pressure of harsh environmental conditions and natural hazards, large parts of the world population are struggling to maintain their livelihoods. Population growth, increasing land utilization and shrinking natural resources have led to an increasing demand of improved efficiency of existing technologies and the development of new ones. A
Statistical Techniques for Transportation Engineering
Author: Kumar Molugaram
Publisher: Butterworth-Heinemann
ISBN: 0128116420
Category : Computers
Languages : en
Pages : 555
Book Description
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges. - Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors - Teaches how to identify and apply appropriate analysis methods for transportation data - Explains how to evaluate transportation proposals and schemes with statistical rigor
Publisher: Butterworth-Heinemann
ISBN: 0128116420
Category : Computers
Languages : en
Pages : 555
Book Description
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges. - Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors - Teaches how to identify and apply appropriate analysis methods for transportation data - Explains how to evaluate transportation proposals and schemes with statistical rigor
Reliability and Statistics in Geotechnical Engineering
Author: Gregory B. Baecher
Publisher: John Wiley & Sons
ISBN: 0470871253
Category : Technology & Engineering
Languages : en
Pages : 618
Book Description
Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems. Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms * Includes extensive use of case studies * Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials * No comparable texts available Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.
Publisher: John Wiley & Sons
ISBN: 0470871253
Category : Technology & Engineering
Languages : en
Pages : 618
Book Description
Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems. Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms * Includes extensive use of case studies * Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials * No comparable texts available Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes.
Degrees of Belief
Author: Steven G. Vick
Publisher: ASCE Publications
ISBN: 0784470863
Category : Technology & Engineering
Languages : en
Pages : 469
Book Description
Observing at a risk analysis conference for civil engineers that participants did not share a common language of probability, Vick, a consultant and geotechnic engineer, set out to not only examine why, but to also bridge the gap. He reexamines three elements at the core of engineering the concepts
Publisher: ASCE Publications
ISBN: 0784470863
Category : Technology & Engineering
Languages : en
Pages : 469
Book Description
Observing at a risk analysis conference for civil engineers that participants did not share a common language of probability, Vick, a consultant and geotechnic engineer, set out to not only examine why, but to also bridge the gap. He reexamines three elements at the core of engineering the concepts
Business Statistics for Contemporary Decision Making
Author: Ignacio Castillo
Publisher: John Wiley & Sons
ISBN: 1119983223
Category :
Languages : en
Pages : 850
Book Description
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.
Publisher: John Wiley & Sons
ISBN: 1119983223
Category :
Languages : en
Pages : 850
Book Description
Show students why business statistics is an increasingly important business skill through a student-friendly pedagogy. In this fourth Canadian edition of Business Statistics For Contemporary Decision Making authors Ken Black, Tiffany Bayley, and Ignacio Castillo uses current real-world data to equip students with the business analytics techniques and quantitative decision-making skills required to make smart decisions in today's workplace.