Recent Developments in Bootstrap Methods for Dependent Data

Article Properties
  • Language
    English
  • DOI (url)
    10.1111/jtsa.12128
  • Publication Date
    2015/03/16
  • Journal
    Journal of Time Series Analysis
  • Indian UGC (journal)
  • Refrences
    13
  • Citations
    1
  • Giuseppe Cavaliere University of Bologna Bologna Italy
  • Dimitris N. Politis University of California La Jolla San Diego USA
  • Anders Rahbek University of Copenhagen Copenhagen Denmark
Cite
Cavaliere, Giuseppe, et al. “Recent Developments in Bootstrap Methods for Dependent Data”. Journal of Time Series Analysis, vol. 36, no. 3, 2015, pp. 269-71, https://doi.org/10.1111/jtsa.12128.
Cavaliere, G., Politis, D. N., & Rahbek, A. (2015). Recent Developments in Bootstrap Methods for Dependent Data. Journal of Time Series Analysis, 36(3), 269-271. https://doi.org/10.1111/jtsa.12128
Cavaliere, Giuseppe, Dimitris N. Politis, and Anders Rahbek. “Recent Developments in Bootstrap Methods for Dependent Data”. Journal of Time Series Analysis 36, no. 3 (2015): 269-71. https://doi.org/10.1111/jtsa.12128.
Cavaliere G, Politis DN, Rahbek A. Recent Developments in Bootstrap Methods for Dependent Data. Journal of Time Series Analysis. 2015;36(3):269-71.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Multivariate Analysis, Design of Experiments, and Survey Sampling: a Tribute to J. N. Srivastava 1999
Bootstrap methods in econometrics, Chapter 23 in Palgrave Handbooks of Econometrics: Volume 1 Econometric Theory 2006
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Bootstrap methods for dependent data: A review Journal of the Korean Statistical Society
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 64 2011
Citations
Title Journal Journal Categories Citations Publication Date
Bootstrap in semi-functional partial linear regression under dependence TEST
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 8 2017
Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics1
Science: Mathematics1
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 Bootstrap in semi-functional partial linear regression under dependence and was published in 2017. The most recent citation comes from a 2017 study titled Bootstrap in semi-functional partial linear regression under dependence. This article reached its peak citation in 2017, with 1 citations. It has been cited in 1 different journals. Among related journals, the TEST 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