The Resource Probability, statistics, and decision for civil engineers, Jack R. Benjamin, C. Allin Cornell
Probability, statistics, and decision for civil engineers, Jack R. Benjamin, C. Allin Cornell
 Summary
 "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 waterresource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"
 Language
 eng
 Edition
 Dover edition.
 Extent
 1 online resource.
 Note
 Reprint of: New York : McGrawHill, 1970
 Contents

 Cover; Title Page; Copyright Page; Dedication; Preface; Contents; Introduction; Chapter 1 Data Reduction; 1.1 Graphical Displays; 1.2 Numerical Summaries; 1.3 Data Observed in Pairs; 1.4 Summary for Chapter 1; Chapter 2 Elements of Probability Theory; 2.1 Random Events; 2.1.1 Sample Space and Events; 2.1.2 Probability Measure; 2.1.3 Simple Probabilities of Events; 2.1.4 Summary; 2.2 Random Variables and Distributions; 2.2.1 Random Variables; 2.2.2 Jointly Distributed Random Variables; 2.3 Derived Distributions; 2.3.1 Onevariable Transformations: Y = g(X)
 2.3.2 Functions of Two Random Variables2.3.3 Elementary Simulation; 2.3.4 Summary; 2.4 Moments and Expectation; 2.4.1 Moments of a Random Variable; 2.4.2 Expectation of a Function of a Random Variable; 2.4.3 Expectation and Jointly Distributed Random Variables; 2.4.4 Approximate Moments and Distributions of Functions; 2.4.5 Summary; 2.5 Summary for Chapter 2; Chapter 3 Common Probabilistic Models; 3.1 Models from Simple Discrete Random Trials; 3.1.1 A Single Trial: The Bernoulli Distribution; 3.1.2 Repeated Trials: The Binomial Distribution
 3.1.3 Repeated Trials: The Geometric and Negative Binomial Distributions3.1.4 Summary; 3.2 Models from Random Occurrences; 3.2.1 Counting Events: The Poisson Distribution; 3.2.2 Time between Events: The Exponential Distribution; 3.2.3 Time to the kth Event: The Gamma Distribution; 3.2.4 Summary; 3.3 Models from Limiting Cases; 3.3.1 The Model of Sums: The Normal Distribution; 3.3.2 The Model of Products: The Lognormal Distribution; 3.3.3 The Model of Extremes: The Extreme Value Distributions; 3.3.4 Summary; 3.4 Additional Common Distributions
 3.4.1 The Equally Likely Model: The Rectangular or Uniform Distribution3.4.2 The Beta Distribution; 3.4.3 Some Normal Related Distributions: Chisquare, Chi, t, and F; 3.4.4 Summary; 3.5 Modified Distributions; 3.5.1 Shifted and Transformed Distributions; 3.5.2 Truncated and Censored Distributions; 3.5.3 Compound Distributions; 3.5.4 Summary; 3.6 Multivariate Models; 3.6.1 Counting Multiple Events: The Multinomial Distribution; 3.6.2 The Multivariate Normal Distribution; 3.6.3 Summary; 3.7 Markov Chains; 3.7.1 Simple Markov Chains; 3.7.2 Twostate Homogeneous Chains
 3.7.3 Multistate Markov Chains3.7.4 Summary; 3.8 Summary for Chapter 3; Chapter 4 Probabilistic Models and Observed Data; 4.1 Estimation of Model Parameters; 4.1.1 The Method of Moments; 4.1.2 The Properties of Estimators: Their First and Secondorder Moments; 4.1.3 The Distributions of Estimators and Confidenceinterval Estimation; 4.1.4 The Method of Maximum Likelihood; 4.1.5 Summary; 4.2 Significance Testing; 4.2.1 Hypothesis Testing; 4.2.2 Some Common Hypothesis Tests; 4.2.3 Summary; 4.3 Statistical Analysis of Linear Models; 4.3.1 Linear Models
 Isbn
 9781523106752
 Label
 Probability, statistics, and decision for civil engineers
 Title
 Probability, statistics, and decision for civil engineers
 Statement of responsibility
 Jack R. Benjamin, C. Allin Cornell
 Language
 eng
 Summary
 "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 waterresource design. Emphasis on fundamentals makes the material accessible to students trained in classical statistics and provides a brief introduction to probability. 1970 edition"
 Assigning source
 Provided by publisher
 Cataloging source
 VALIL
 Index
 no index present
 Literary form
 non fiction
 Nature of contents
 dictionaries
 Series statement
 Dover Books on Engineering
 Label
 Probability, statistics, and decision for civil engineers, Jack R. Benjamin, C. Allin Cornell
 Link
 http://libproxy.rpi.edu/login?url=http://app.knovel.com/hotlink/toc/id:kpPSDCE00M/probabilitystatisticsand
 Note
 Reprint of: New York : McGrawHill, 1970
 Antecedent source
 unknown
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 multicolored
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents

 Cover; Title Page; Copyright Page; Dedication; Preface; Contents; Introduction; Chapter 1 Data Reduction; 1.1 Graphical Displays; 1.2 Numerical Summaries; 1.3 Data Observed in Pairs; 1.4 Summary for Chapter 1; Chapter 2 Elements of Probability Theory; 2.1 Random Events; 2.1.1 Sample Space and Events; 2.1.2 Probability Measure; 2.1.3 Simple Probabilities of Events; 2.1.4 Summary; 2.2 Random Variables and Distributions; 2.2.1 Random Variables; 2.2.2 Jointly Distributed Random Variables; 2.3 Derived Distributions; 2.3.1 Onevariable Transformations: Y = g(X)
 2.3.2 Functions of Two Random Variables2.3.3 Elementary Simulation; 2.3.4 Summary; 2.4 Moments and Expectation; 2.4.1 Moments of a Random Variable; 2.4.2 Expectation of a Function of a Random Variable; 2.4.3 Expectation and Jointly Distributed Random Variables; 2.4.4 Approximate Moments and Distributions of Functions; 2.4.5 Summary; 2.5 Summary for Chapter 2; Chapter 3 Common Probabilistic Models; 3.1 Models from Simple Discrete Random Trials; 3.1.1 A Single Trial: The Bernoulli Distribution; 3.1.2 Repeated Trials: The Binomial Distribution
 3.1.3 Repeated Trials: The Geometric and Negative Binomial Distributions3.1.4 Summary; 3.2 Models from Random Occurrences; 3.2.1 Counting Events: The Poisson Distribution; 3.2.2 Time between Events: The Exponential Distribution; 3.2.3 Time to the kth Event: The Gamma Distribution; 3.2.4 Summary; 3.3 Models from Limiting Cases; 3.3.1 The Model of Sums: The Normal Distribution; 3.3.2 The Model of Products: The Lognormal Distribution; 3.3.3 The Model of Extremes: The Extreme Value Distributions; 3.3.4 Summary; 3.4 Additional Common Distributions
 3.4.1 The Equally Likely Model: The Rectangular or Uniform Distribution3.4.2 The Beta Distribution; 3.4.3 Some Normal Related Distributions: Chisquare, Chi, t, and F; 3.4.4 Summary; 3.5 Modified Distributions; 3.5.1 Shifted and Transformed Distributions; 3.5.2 Truncated and Censored Distributions; 3.5.3 Compound Distributions; 3.5.4 Summary; 3.6 Multivariate Models; 3.6.1 Counting Multiple Events: The Multinomial Distribution; 3.6.2 The Multivariate Normal Distribution; 3.6.3 Summary; 3.7 Markov Chains; 3.7.1 Simple Markov Chains; 3.7.2 Twostate Homogeneous Chains
 3.7.3 Multistate Markov Chains3.7.4 Summary; 3.8 Summary for Chapter 3; Chapter 4 Probabilistic Models and Observed Data; 4.1 Estimation of Model Parameters; 4.1.1 The Method of Moments; 4.1.2 The Properties of Estimators: Their First and Secondorder Moments; 4.1.3 The Distributions of Estimators and Confidenceinterval Estimation; 4.1.4 The Method of Maximum Likelihood; 4.1.5 Summary; 4.2 Significance Testing; 4.2.1 Hypothesis Testing; 4.2.2 Some Common Hypothesis Tests; 4.2.3 Summary; 4.3 Statistical Analysis of Linear Models; 4.3.1 Linear Models
 http://library.link/vocab/cover_art
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 unknown
 http://library.link/vocab/discovery_link
 {'f': 'http://opac.lib.rpi.edu/record=b4169281'}
 Edition
 Dover edition.
 Extent
 1 online resource.
 File format
 unknown
 Form of item
 online
 Isbn
 9781523106752
 Level of compression
 unknown
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Publisher number
 MWT11607039
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