Statistical Discrimination Analysis Using the Maximum Function

Article Properties
Cite
Pham-Gia, Thu, et al. “Statistical Discrimination Analysis Using the Maximum Function”. Communications in Statistics - Simulation and Computation, vol. 37, no. 2, 2008, pp. 320-36, https://doi.org/10.1080/03610910701790475.
Pham-Gia, T., Turkkan, N., & Vovan, T. (2008). Statistical Discrimination Analysis Using the Maximum Function. Communications in Statistics - Simulation and Computation, 37(2), 320-336. https://doi.org/10.1080/03610910701790475
Pham-Gia, Thu, Noyan Turkkan, and Tai Vovan. “Statistical Discrimination Analysis Using the Maximum Function”. Communications in Statistics - Simulation and Computation 37, no. 2 (2008): 320-36. https://doi.org/10.1080/03610910701790475.
Pham-Gia T, Turkkan N, Vovan T. Statistical Discrimination Analysis Using the Maximum Function. Communications in Statistics - Simulation and Computation. 2008;37(2):320-36.
Journal Categories
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
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Refrences
Title Journal Journal Categories Citations Publication Date
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10.1007/978-1-4612-0711-5 1996
The Advanced Theory of Statistics 1983
Handbook of Statistics 1982
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Citations
Title Journal Journal Categories Citations Publication Date
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Citations Analysis
Category Category Repetition
Science: Mathematics19
Science: Mathematics: Probabilities. Mathematical statistics14
Science: Mathematics: Instruments and machines: Electronic computers. Computer science13
Technology: Engineering (General). Civil engineering (General)6
Science6
Science: Science (General): Cybernetics: Information theory5
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Technology: Mechanical engineering and machinery3
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks2
Technology: Manufactures: Production management. Operations management2
Technology: Electrical engineering. Electronics. Nuclear engineering1
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication1
Social Sciences: Economic theory. Demography: Economics as a science1
Social Sciences: Commerce: Business: Personnel management. Employment management1
Social Sciences: Commerce: Business1
Technology: Chemical technology: Biotechnology1
Medicine: Medicine (General): Medical technology1
The category Science: Mathematics 19 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Exact expression of the density of the sample generalized variance and applications and was published in 2008. The most recent citation comes from a 2024 study titled Classifying for interval and applying for image based on the extracted texture feature. This article reached its peak citation in 2020, with 6 citations. It has been cited in 26 different journals, 15% of which are open access. Among related journals, the CTU Journal of Science cited this research the most, with 6 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year