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Best distribution and plotting positions of daily maximum flood estimation at Ona River in Ogun-Oshun river basin, Nigeria CIGR Journal
Temitayo Abayomi EWEMOJE; Department of Agricultural and Environmental Engineering, University of Ibadan; O. S. Ewemooje; Department of Statistics, University of Ibadan.
The paper discusses how Normal, Lognormal, and log-Pearson type 3 distributions were investigated as distributions for modelling at-site annual maximum flood flows using the Hazen, Weibull, and California plotting positions at Ogun-Oshun river basin in Nigeria.  All the probability distributions when matched with Weibull plotting position gave similar values near the center of the distribution but varied considerably in the tails.  The Weibull plotting position when matched with Normal, Log-normal and Log Pearson Type III probability distributions gave the highest coefficient of determinations of 0.967, 0.987, and 0.986 respectively.  Hazen plotting position gave minimal errors with the RMSE of 6.988, 6.390, and 6.011 for Normal, Log-normal, and...
Palavras-chave: Probability distributions; Plotting positions; Maximum flood; Estimation; Statistical modelling; Nigeria.
Ano: 2011 URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/1380
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Speaking Stata: On getting functions to do the work AgEcon
Cox, Nicholas J..
Functions in Stata take two main forms, built-in functions that are part of the executable and egen functions written in Stata’s own language. These are surveyed, giving a variety of tips and tricks, and noting the large number of user-written egen functions available for download from the Internet. Two substantial examples, the calculation of percentile ranks and plotting positions, and the calculation of measures summarizing properties of the other members of a group, provide detailed illustrations of egen in action.
Tipo: Journal Article Palavras-chave: Functions; Egen; Strings; Percentile ranks; Plotting positions; Family data; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116026
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