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首页> 外文期刊>European Journal of Business and Management >FITTING THE STATISTICAL DISTRIBUTION FOR DAILY RAINFALL IN IBADAN, BASED ON CHI-SQUARE AND KOLMOGOROV- SMIRNOV GOODNESS-OF-FIT TESTS.
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FITTING THE STATISTICAL DISTRIBUTION FOR DAILY RAINFALL IN IBADAN, BASED ON CHI-SQUARE AND KOLMOGOROV- SMIRNOV GOODNESS-OF-FIT TESTS.

机译:基于卡方和KOLMOGOROV-SMIRNOV拟合度检验,拟合宜巴丹州每日降雨的统计分布。

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摘要

This paper presents several types of statistical distributions to describe rainfall distribution in Ibadan metropolis over a period of 30 years.The exponential, gamma, normal and poisson distributions are compared to identify the optimal model for daily rainfall amount based on data recorded at rain guage station at Forestry Research Institute of Nigeria, Jericho, Ibadan (FRIN). The models are evaluated based on chi- square and kolmogorov-smirnov tests. Overall, this study has shown that the exponential distribution is the best model followed by normal and poisson model that has the same estimated rainfall amount for describing the daily rainfall in Ibadan metropolis.
机译:本文提出了几种类型的统计分布来描述伊巴丹大都市30年内的降雨分布,并根据雨量仪站记录的数据,比较了指数分布,伽马分布,正态分布和泊松分布,以确定每日降雨量的最佳模型。在伊巴丹耶利哥的尼日利亚林业研究所(FRIN)任职。基于卡方检验和kolmogorov-smirnov检验对模型进行评估。总体而言,这项研究表明,指数分布是最佳模型,其次是正态和泊松模型,后者具有相同的估计降雨量以描述伊巴丹都会的每日降雨量。

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