Project management analytics : a data-driven approach to making rational and effective project decisions
By: Singh, Harjit
Material type: BookPublisher: New Jersey : Financial Times Pren Hall, c2016.Description: ix, 340 p. : ill. ; 25 cm.ISBN: 9780134189949Subject(s): Project management -- Decision making -- Statistical methods | Project management -- Decision making -- Data processing | Data miningItem type | Home library | Call number | Status | Date due | Barcode | Item holds |
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REGULAR | University of Wollongong in Dubai Main Collection | 658.404 SI PR (Browse shelf) | Available | T0054521 |
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658.404 SC IN Information technology project management | 658.404 SC IN Information technology project management | 658.404 SC IN Information technology project management | 658.404 SI PR Project management analytics : a data-driven approach to making rational and effective project decisions | 658.404 SI SU Sustainability in project management / | 658.404 SI TU Situational sponsorship of projects and programs : an empirical review / | 658.404 ST AN The standard for portfolio management / |
Part 1: Approach Chapter 1: Project Management Analytics 1 Chapter 2: Data-Driven Decision-Making 25 Part 2: Project Management Fundamentals Chapter 3: Project Management Framework 45 Part 3: Introduction to Analytics Concepts, Tools, and Techniques Chapter 4: Chapter Statistical Fundamentals I: Basics and Probability Distributions 77 Chapter 5: Statistical Fundamentals II: Hypothesis, Correlation, and Linear Regression 117 Chapter 6: Analytic Hierarchy Process 151 Chapter 7: Lean Six Sigma 183 Part 4: Applications of Analytics Concepts, Tools, and Techniques in Project Management Decision-Making Chapter 8: Statistical Applications in Project Management 229 Chapter 9: Project Decision-Making with the Analytic Hierarchy Process (AHP) 265 Chapter 10: Lean Six Sigma Applications in Project Management 291 Part 5: Appendices Appendix A: z-Distribution 321 Appendix B: t-Distribution 325 Appendix C: Binomial Probability Distribution (From n = 2 to n = 10) 327 Index 329