Different Random Distributions Research on Logistic-Based Sample Assumption | Zendy

Jing Pan | Zendy; Qun Ding | Zendy; Lei Ning | Zendy; Yanbin Zheng | Zendy

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Different Random Distributions Research on Logistic-Based Sample Assumption

Author(s) -

Jing Pan,

Qun Ding,

Lei Ning,

Yanbin Zheng

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/682357

Subject(s) - logistic distribution , sample space , mathematics , sample (material) , statistics , distribution (mathematics) , sampling distribution , statistical physics , logistic regression , mathematical analysis , physics , thermodynamics

Logistic-based sample assumption is proposed in this paper, with a research on different random distributions through this system. It provides an assumption system of logistic-based sample, including its sample space structure. Moreover, the influence of different random distributions for inputs has been studied through this logistic-based sample assumption system. In this paper, three different random distributions (normal distribution, uniform distribution, and beta distribution) are used for test. The experimental simulations illustrate the relationship between inputs and outputs under different random distributions. Thereafter, numerical analysis infers that the distribution of outputs depends on that of inputs to some extent, and this assumption system is not independent increment process, but it is quasistationary

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