Characterization of Extended Uniform Distribution and Its Applications
Ratan Dasgupta ()
Additional contact information
Ratan Dasgupta: Indian Statistical Institute, Theoretical Statistics and Mathematics Unit
A chapter in Advances in Growth Curve and Structural Equation Modeling, 2018, pp 45-57 from Springer
Abstract:
Abstract Extended uniform distributions $$G(y)=(y/\theta )^{\alpha }, \alpha>0, \theta >0, y\in (0,\theta ]$$ , and its discrete version have applications in modeling random variables related to growth data, discrete and continuous (Dasgupta 2017). Notion of performance rate of a variable is elaborated and its relation with hazard rate of industrial context and density function of the variable is studied. We prove characterization theorems for a general form of extended uniform distribution based on invariance of performance rate under scale transformations in a countable dense set. Applications of the distribution in quality control in industrial production, yield data of tuber crops among others are discussed.
Keywords: Extended uniform distribution; Performance rate; Hazard rate; Cauchy equation; Tuber crop; Generalized extreme value distribution; Primary; 62E10; Secondary; 62P12 (search for similar items in EconPapers)
Date: 2018
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:978-981-13-0980-9_3
Ordering information: This item can be ordered from
http://www.springer.com/9789811309809
DOI: 10.1007/978-981-13-0980-9_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 ().