Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables

Kundu, Chanchal

doi:10.1007/s10492-014-0080-4

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction2

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2016

2017

Publication Types

Select...

Article2

Relationship

Self Cite1

Independent1

Authors

Journals

Cited by 2 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One can see more results and properties of above measures in works by Prakash and Taneja (1986) , Bhatia and Taneja (1991) , Smitha(2010) and Kundu (2014…”

Section: Introduction and Preliminary Resultsmentioning

confidence: 89%

An Extension of Weighted Cumulative Inaccuracy Measure Based on Doubly Truncation

Jalayeri¹,

Khorashadizadeh

2017

Pak.j.stat.oper.res.

View full text Add to dashboard Cite

In the present communication, based on two extensions of Shannon entropy cumulative entropy by Rao, et al, 2004 and Kerridge's inaccuarcy by Kerridge, (1961), we study and obtain some properties of weighted cumulative residual (past) inaccuracy for truncated random variables. Several properties, including monotonicity, bounds and their connections to proportional (reversed) hazard model are obtained for left, right and doubly truncated random variables.

show abstract

“…One can see more results and properties of above measures in works by Prakash and Taneja (1986) , Bhatia and Taneja (1991) , Smitha(2010) and Kundu (2014…”

Section: Introduction and Preliminary Resultsmentioning

confidence: 89%

An Extension of Weighted Cumulative Inaccuracy Measure Based on Doubly Truncation

Jalayeri¹,

Khorashadizadeh

2017

Pak.j.stat.oper.res.

View full text Add to dashboard Cite

show abstract

“…For t = 0, (1.5) reduces to (1.4) and for t = ∞, (1.6) reduces to (1.4). Various aspects of (1.5) and (1.6) have been discussed in Kundu (2014).…”

Section: Introductionmentioning

confidence: 99%

On weighted measure of inaccuracy for doubly truncated random variables

Kundu

2016

Communications in Statistics - Theory and Methods

Self Cite

View full text Add to dashboard Cite

Recently, authors have studied weighted version of Kerridge inaccuracy measure for truncated distributions. In the present communication we introduce the notion of weighted interval inaccuracy measure for two-sided truncated random variables. In reliability theory and survival analysis, this measure may help to study the various characteristics of a system/component when it fails between two time points. Various aspects of weighted interval inaccuracy measure have been discussed and some characterization results have been provided. This new measure is a generalization of recent dynamic weighted inaccuracy measure.

show abstract

Characterizations based on length-biased weighted measure of inaccuracy for truncated random variables

Cited by 2 publications

References 25 publications

An Extension of Weighted Cumulative Inaccuracy Measure Based on Doubly Truncation

An Extension of Weighted Cumulative Inaccuracy Measure Based on Doubly Truncation

On weighted measure of inaccuracy for doubly truncated random variables

Contact Info

Product

Resources

About