Opening book details…
Can I read Approximation of CDF of Non-Central Chi-Square Distribution by Mean-Value Theorems for Integrals on EtoBox?
Approximation of CDF of Non-Central Chi-Square Distribution by Mean-Value Theorems for Integrals by Baricz, Árpád ;Jankov Maširević, Dragana ;Pogány, Tibor K. is a Mathematics article available to read on EtoBox.
What is Approximation of CDF of Non-Central Chi-Square Distribution by Mean-Value Theorems for Integrals about?
The cumulative distribution function of the non-central chi-square distribution χn′2(λ) of n degrees of freedom possesses an integral representation. Here we rewrite this integral in terms of a lower incomplete gamma function applying two of the second mean-value theorems for definite integrals, which are of Bonnet type and Okamura’s variant of the du Bois–Reymond theorem. Related results are exposed concerning the small argument cases in cumulative distribution function (CDF) and their asymptotic behavior near the origin.
Who reads Approximation of CDF of Non-Central Chi-Square Distribution by Mean-Value Theorems for Integrals?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Baricz, Árpád ;Jankov Maširević, Dragana ;Pogány, Tibor K.
- Publisher
- MDPI AG
- Published
- 2021
- Language
- EN
- Field
- Mathematics (Physical Sciences)
More by Baricz, Árpád ;Jankov Maširević, Dragana ;Pogány, Tibor K.
Browse all works by Baricz, Árpád ;Jankov Maširević, Dragana ;Pogány, Tibor K.