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has been cited by the following article:

• TITLE: Analysis of College Students’ Test Scores Based on Two-Component Mixed Generalized Normal Distribution

  AUTHORS: Luliang Wen, Haiwu Rong, Yanjun Qiu

  KEYWORDS: Two-Component Mixed Generalized Normal Distribution, Two-Component Mixed Normal Distribution, ECM Algorithm, Test Scores

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.11 No.1, February 8, 2023

  ABSTRACT: In order to improve the fitting accuracy of college students’ test scores, this paper proposes two-component mixed generalized normal distribution, uses maximum likelihood estimation method and Expectation Conditional Maxinnization (ECM) algorithm to estimate parameters and conduct numerical simulation, and performs fitting analysis on the test scores of Linear Algebra and Advanced Mathematics of F University. The empirical results show that the two-component mixed generalized normal distribution is better than the commonly used two-component mixed normal distribution in fitting college students’ test data, and has good application value.