Determination of Accuracy of Estimation of Regression Parameters Under Inequality Constraints
Pavel S. Knopov () and
Arnold S. Korkhin ()
Additional contact information
Pavel S. Knopov: National Academy of Science of Ukraine
Arnold S. Korkhin: National Mining University
Chapter Chapter 4 in Regression Analysis Under A Priori Parameter Restrictions, 2012, pp 121-181 from Springer
Abstract:
Abstract This chapter is devoted to the accuracy of estimation of regression parameters under inequality constraints. In Sects. 4.2 and 4.3 we construct the truncated estimate of the matrix of m.s.e. of the estimate of multi-dimensional regression parameter. In such a construction inactive constraints are not taken into account. Another approach (which takes into account all constraints) is considered in Sects.4.4 4.7.
Keywords: Regression Parameter; Inequality Constraint; Sample Estimate; Quadratic Programming Problem; Active Constraint (search for similar items in EconPapers)
Date: 2012
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:spochp:978-1-4614-0574-0_4
Ordering information: This item can be ordered from
http://www.springer.com/9781461405740
DOI: 10.1007/978-1-4614-0574-0_4
Access Statistics for this chapter
More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().