Name: Relative Contractor Risks: A Data-Analytic Approach to Early Identification (in English)
Price: 32.03 USD
Availability: InStock
Author: Philip S. Anton; William Shelton; James Ryseff; Stephen B. Joplin; Megan Mckernan; Chad J. R. Ohlandt; Samantha Cohen
ISBN: 9781977408754

portada Relative Contractor Risks: A Data-Analytic Approach to Early Identification (in English)

Type

Physical Book

Author

Publisher

Language

English

Pages

Format

Paperback

Dimensions

27.9 x 21.6 x 0.5 cm

Weight

0.24 kg.

ISBN13

9781977408754

Synopsis "Relative Contractor Risks: A Data-Analytic Approach to Early Identification (in English)"

A recurring challenge to successful acquisition program execution is poor contractor performance. Air Force officials asked RAND Corporation researchers to develop and prototype data-analytic methods on a variety of government and commercial data sources to assess relative contractor performance risks in Air Force acquisition contracts and programs. They present initial insights and approaches in exploring and prototyping these methods.

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Relative Contractor Risks: A Data-Analytic Approach to Early Identification (in English) - Philip S. Anton; William Shelton; James Ryseff; Stephen B. Joplin; Megan Mckernan; Chad J. R. Ohlandt; Samantha Cohen

Synopsis "Relative Contractor Risks: A Data-Analytic Approach to Early Identification (in English)"

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