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Data Analytics for Engineering and Construction Project Risk Management

Overview of attention for book
Cover of 'Data Analytics for Engineering and Construction Project Risk Management'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Uncertainty and Risk
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    Chapter 2 Project Risk Management Fundamentals
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    Chapter 3 Second Moment Approach for the Probability Distribution of Project Performance Functions
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    Chapter 4 Monte Carlo Simulation Approach for the Probability Distribution of Project Performance Functions
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    Chapter 5 Correlation in Projects
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    Chapter 6 Estimating Means, Variances, and Correlations Based on Experts’ Judgment
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    Chapter 7 Sensitivity and Common Cause Effects
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    Chapter 8 Approximate Risk Function for Project Durations
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    Chapter 9 Contingency and Management Reserves
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    Chapter 10 Bayesian Revision of Probability Estimates
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    Chapter 11 Managing Contingency and Budget to Complete
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    Chapter 12 Statistical Project Control
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    Chapter 13 Forecasting Project Completion
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    Chapter 14 Forecasting with Learning Curve Models
Attention for Chapter 13: Forecasting Project Completion
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Chapter title
Forecasting Project Completion
Chapter number 13
Book title
Data Analytics for Engineering and Construction Project Risk Management
Published by
Springer, Cham, January 2020
DOI 10.1007/978-3-030-14251-3_13
Book ISBNs
978-3-03-014250-6, 978-3-03-014251-3
Authors

Ivan Damnjanovic, Kenneth Reinschmidt

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Business, Management and Accounting 1 100%

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