Empirical Likelihood for Random Sets

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/01621459.2016.1188107
  • Publication Date
    2017/04/12
  • Journal
    Journal of the American Statistical Association
  • Indian UGC (journal)
  • Refrences
    37
  • Citations
    3
  • Karun Adusumilli Department of Economics, London School of Economics and Political Science, London, UK
  • Taisuke Otsu Department of Economics, London School of Economics and Political Science, London, UK
Cite
Adusumilli, Karun, and Taisuke Otsu. “Empirical Likelihood for Random Sets”. Journal of the American Statistical Association, vol. 112, no. 519, 2017, pp. 1064-75, https://doi.org/10.1080/01621459.2016.1188107.
Adusumilli, K., & Otsu, T. (2017). Empirical Likelihood for Random Sets. Journal of the American Statistical Association, 112(519), 1064-1075. https://doi.org/10.1080/01621459.2016.1188107
Adusumilli, Karun, and Taisuke Otsu. “Empirical Likelihood for Random Sets”. Journal of the American Statistical Association 112, no. 519 (2017): 1064-75. https://doi.org/10.1080/01621459.2016.1188107.
Adusumilli K, Otsu T. Empirical Likelihood for Random Sets. Journal of the American Statistical Association. 2017;112(519):1064-75.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations
Title Journal Journal Categories Citations Publication Date
Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics Econometrics and Statistics 2023
Empirical Likelihood Inference for the Semiparametric Varying-Coefficient Spatial Autoregressive Model Journal of Systems Science and Complexity
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Local regression smoothers with set-valued outcome data International Journal of Approximate Reasoning
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 1 2021
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Science: Mathematics1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 1 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Empirical Likelihood Inference for the Semiparametric Varying-Coefficient Spatial Autoregressive Model and was published in 2021. The most recent citation comes from a 2023 study titled Fuzzy sets and (fuzzy) random sets in Econometrics and Statistics. This article reached its peak citation in 2021, with 2 citations. It has been cited in 3 different journals. Among related journals, the Econometrics and Statistics 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