Research papers on Chi-squared distribution

Research papers on the Chi-squared distribution explore how this statistical tool helps analyze how observed data compares to expected data, especially in categorical data. It is used to test hypotheses about whether variables are independent or if a model fits the data well. These papers often examine the mathematical properties of the distribution, its applications in various fields like genetics, social sciences, and quality control, and improvements to methods using this distribution. Overall, they deepen understanding of its theoretical foundations and enhance its practical uses in making informed decisions based on data analysis.