Application with an Event Time Distribution on Spatial Process

Authors

  • Chris Uchechi Onyemachi Faculty of Physical Sciences Department of Statistics Abia State University Uturu – Nigeria

DOI:

https://doi.org/10.14738/tecs.121.15979

Keywords:

Non negative value phenomena, lognormal distribution, model, life time, empirically observed

Abstract

The use of models in sciences to describe phenomena that assume non negative values such as size distributions, flood frequencies, radio wave amplitude fluctuations, air velocity fluctuations and geographical analysis are enhanced with the lognormal distribution, and the likes of Weibull and Exponential distributions as a life time distribution model. In most cases, these are empirically observed and test fits and often other models such as gamma distribution are also fitted. The distribution is specified by saying that the life time of random variable X is lognormal if the logarithm Y = In X of the life time is normally distributed with mean μ and variance σ2. The two parameter lognormal distribution denoted by ; with the corresponding normal distribution  is considered. Lognormal distributions play a central role in human and ecological risk association, its probability plots are invaluable because they provide a powerful way to visualize measured data or simulated results such as in landslides.

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Published

2024-02-29

How to Cite

Onyemachi, C. U. (2024). Application with an Event Time Distribution on Spatial Process. Transactions on Engineering and Computing Sciences, 12(1), 206–213. https://doi.org/10.14738/tecs.121.15979