A Review of Seasonal Adjustment Diagnostics

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Abstract
Cite
McElroy, Tucker, and Anindya Roy. “A Review of Seasonal Adjustment Diagnostics”. International Statistical Review, vol. 90, no. 2, 2021, pp. 259-84, https://doi.org/10.1111/insr.12482.
McElroy, T., & Roy, A. (2021). A Review of Seasonal Adjustment Diagnostics. International Statistical Review, 90(2), 259-284. https://doi.org/10.1111/insr.12482
McElroy, Tucker, and Anindya Roy. “A Review of Seasonal Adjustment Diagnostics”. International Statistical Review 90, no. 2 (2021): 259-84. https://doi.org/10.1111/insr.12482.
McElroy T, Roy A. A Review of Seasonal Adjustment Diagnostics. International Statistical Review. 2021;90(2):259-84.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Citations
Title Journal Journal Categories Citations Publication Date
Identification of the differencing operator of a non-stationary time series via testing for zeroes in the spectral density Computational Statistics & Data Analysis
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
 1 2023
White noise testing for functional time series Statistics Surveys
  • Science: Mathematics: Probabilities. Mathematical statistics
 2023
Automatizing model selection in an annual review of seasonal adjustment: A machine learning-inspired approach

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Citations Analysis
Category Category Repetition
Science: Mathematics: Probabilities. Mathematical statistics2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Mathematics1
The category Science: Mathematics: Probabilities. Mathematical statistics 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled White noise testing for functional time series and was published in 2023. The most recent citation comes from a 2023 study titled White noise testing for functional time series. This article reached its peak citation in 2023, with 3 citations. It has been cited in 3 different journals. Among related journals, the Statistics Surveys 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