The length-biased weighted exponentiated inverted Weibull distribution

Article Properties
  • Language
    English
  • Publication Date
    2016/12/31
  • Indian UGC (journal)
  • Refrences
    55
  • Citations
    3
  • Aamir Saghir Department of Mathematics, Mirpur University of Science and Technology, Mirpur 10250, AJK, Pakistan
  • Sadaf Tazeem Department of Mathematics, Mirpur University of Science and Technology, Mirpur 10250, AJK, Pakistan
  • Ishfaq Ahmad Department of Mathematics and Statistics, International Islamic University, Islamabad, Pakistan
Cite
Saghir, Aamir, et al. “The Length-Biased Weighted Exponentiated Inverted Weibull Distribution”. Cogent Mathematics, vol. 3, no. 1, 2016, p. 1267299, https://doi.org/10.1080/23311835.2016.1267299.
Saghir, A., Tazeem, S., & Ahmad, I. (2016). The length-biased weighted exponentiated inverted Weibull distribution. Cogent Mathematics, 3(1), 1267299. https://doi.org/10.1080/23311835.2016.1267299
Saghir A, Tazeem S, Ahmad I. The length-biased weighted exponentiated inverted Weibull distribution. Cogent Mathematics. 2016;3(1):1267299.
Journal Category
Science
Mathematics
Refrences
Title Journal Journal Categories Citations Publication Date
A Statistical Distribution Function of Wide Applicability

Journal of Applied Mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
6,889 1951
A Statistical Distribution Function of Wide Applicability

2015
A Statistical Distribution Function of Wide Applicability

2014
Education College, Al – Mustansryia University 2015
Education College, Al – Mustansryia University 2015
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled The Length-Biased Weighted Lindley Distribution with Applications and was published in 2020. The most recent citation comes from a 2022 study titled The length-biased power hazard rate distribution: Some properties and applications. This article reached its peak citation in 2020, with 2 citations. It has been cited in 3 different journals. Among related journals, the Statistics in Transition new series cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year