Systems with Multi-Components

M. Luz Gámiz (), K. B. Kulasekera (), Nikolaos Limnios () and Bo Henry Lindqvist ()
Additional contact information
M. Luz Gámiz: Universidad Granada
K. B. Kulasekera: Clemson University
Nikolaos Limnios: Université de Technologie de Compiègne
Bo Henry Lindqvist: Norwegian University of Science and Technology

Chapter Chapter 5 in Applied Nonparametric Statistics in Reliability, 2011, pp 121-142 from Springer

Abstract: Abstract The main purpose of this chapter is to construct a system structure function based on an observed set of the system output performance and the corresponding performances of its components. To do this, special techniques are proposed by looking at the structure function of a continuous-state system under the scope of a regression model. Multivariate smoothing and isotonic regression methods are adapted to the particular characteristics of the problem at hand.

Keywords: Structure Function; Integrate Square Error; Average Square Error; Universal Generate Function; Symmetric Density Function (search for similar items in EconPapers)
Date: 2011
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:ssrchp:978-0-85729-118-9_5

Ordering information: This item can be ordered from
http://www.springer.com/9780857291189

DOI: 10.1007/978-0-85729-118-9_5

Access Statistics for this chapter

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