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  Quantitative Methods in Project Management
 

Quantitative Methods In Project Management

by John C. Goodpasture

  Price : Rs 300.00
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  This is a practitioner`s book, combining theoretical and practical applications for project professionals. It is a loosely coupled work flow that takes PM`s through the most important quantitative methods, integrates them, and shows interrelationships that cannot be obtained by separate readings. These practical methods can be applied easily by project practitioners who are not steeped in theory and need to know how to make everyday use of numerical analysis in projects. This book also covers financial and life cycle risk as well as risk for the project itself and contains unique extensions to earned value and project initiation. This book will be of particular interest to project managers, program managers, project administrators, system engineers, cost and risk estimators, as well as continuing education and seminar providers.Many J. Ross Publishing customers have purchased John Goodpasture`s Quantitative Methods in Project Management with David Rico`s ROI of Software Process Improvement a book that masterfully illuminates complex topics in ROI. For more information on this title, please click here .Key Features: Introduces probability and statistics for the project manager and discusses their importance for setting achievable expectations and managing risk Discusses the work breakdown structure and its connection to the company general ledger with examples of estimates using different methods, under various states of uncertain and incomplete information Covers decision trees and decision tables used for quantitative decision making and includes examples of simple trees, trees with independent conditions, and trees with dependent conditions Explains riskadjusted methods in capital budgeting and introduces the concepts of expense accounting and earned value Examines the numbers and provides insight on project contracting as a risk management tool Covers special topics such as hypothesis testing, regression analysis, probabilityimpact analysis, Six Sigma, and QFD analysis
 


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