Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

Estimating Cost Growth in Engineering and Schedule Cost Categories Using a Two-Pronged Regression Approach

by Chris J. McDaniel
Save 11% Save 11%
Current price ₹1,458.00
Original price ₹1,639.00
Original price ₹1,639.00
Original price ₹1,639.00
(-11%)
₹1,458.00
Current price ₹1,458.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9781249840695
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Biblioscholar
  • Publisher Imprint: Biblioscholar
  • Publication Date:
  • Pages: 112
  • Original Price: GBP 12.95
  • Language: English
  • Edition: N/A
  • Item Weight: 168 grams
  • BISAC Subject(s): General

Cost growth in major DoD acquisition programs has been commonplace for the last 35 years, and shows no signs of improvement despite the adoption of new business practices legislation. In the current environment where taxpayer dollars are heavily competed for, and the expenditure of those dollars is highly scrutinized, it has become a high priority in Department of Defense leadership to build accurate cost estimates that reduce overruns and restore credibility to the defense acquisition process. Previous research has validated the use of two-pronged logistic and multiple regression approach that offers better predictive ability than the traditional multiple regression approach alone. This research further validates the use of this two-pronged approach by applying it to the engineering and schedule cost growth categories. We update and augment previously collected programmatic data from the Selected Acquisition Reports (SARs) between 1990 and 2001 for programs covering all defense departments, with the latest SAR database (1990-2002). We start the analysis by building logistic regression models to predict whether cost growth will occur. Then we build multiple regression models to predict the extent to which a program will experience cost growth. The response variables for our models are the respective cost growth on procurement-funded efforts in the engineering and schedule cost categories, during the Engineering and Management Development phase of the acquisition process.

This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.

This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.

As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us