EconPapers    
Economics at your fingertips  
 

Transform Techniques in Cost Analysis

John A. Long
Additional contact information
John A. Long: TASC

Chapter 3 in Cost Analysis and Estimating, 1991, pp 52-64 from Springer

Abstract: Abstract Risk is a fact of life that must be addressed by cost analysts. The analyst cannot eliminate the risk but can, at least, capture, present, and explain the aspects of risk to the decision maker. Risk analysis is a procedure for analyzing how randomness affects the cost. To place a cost estimate in proper perspective, it must be viewed as a random variable produced by other random variables. Cost analysts have used a variety of techniques including Monte Carlo simulation, additive and multiplicative moments, and simple sums and products of random variables to estimate risk. This paper applies the method of transformation to this problem.

Keywords: Probability Density Function; Additive Model; Multiplicative Model; Dependent Random Variable; Proper Perspective (search for similar items in EconPapers)
Date: 1991
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-3202-5_3

Ordering information: This item can be ordered from
http://www.springer.com/9781461232025

DOI: 10.1007/978-1-4612-3202-5_3

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-06-01
Handle: RePEc:spr:sprchp:978-1-4612-3202-5_3