article Open Access
The research on the characteristics of approximation process of chi-square distribution function based on MATLAB
International Journal of Statistics and Applied Mathematics · 2020 · Vol. 5(1) · pp. 64–67
Abstract
Chi-square distribution is asymptotically normal, which has been proved by predecessors. However, there is no specific description of this approximation process. Based on the previous research, this paper analyzed the specific-characteristics of chi-square distribution further by using MATLAB software. The results indicated that the chi-square distribution moves from the left to the right to gradually approach the corresponding normal distribution as its maximum values, skewness values, and kurtosis values decreasing.
Advanced Algorithms and ApplicationsAdvanced Sensor and Control SystemsMetaheuristic Optimization Algorithms ResearchKurtosisMathematicsSquare (algebra)MATLABDistribution (mathematics)SkewnessChi-square testNormal distributionFunction (biology)Applied mathematics
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
3%
vs. same field & year
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
