EconPapers    
Economics at your fingertips  
 

Modeling with Data

Scott A. Pardo
Additional contact information
Scott A. Pardo: Ascensia Diabetes Care

Chapter Chapter 4 in Empirical Modeling and Data Analysis for Engineers and Applied Scientists, 2016, pp 23-38 from Springer

Abstract: Abstract Engineers and Applied Scientists (EASs) require mathematical models to predict the value of some critical performance variable or some characteristic of a product or process output. Generally, there are two kinds of variables:

Keywords: Cure Time; Apply Scientist; Input Point; High Order Approximation; Noise Standard Deviation (search for similar items in EconPapers)
Date: 2016
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:978-3-319-32768-6_4

Ordering information: This item can be ordered from
http://www.springer.com/9783319327686

DOI: 10.1007/978-3-319-32768-6_4

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 2026-06-08
Handle: RePEc:spr:sprchp:978-3-319-32768-6_4