The Extended Erlang-Truncated Exponential distribution: Properties and application to rainfall data.
作者： I.E. Okorie , A.C. Akpanta , J. Ohakwe , D.C. Chikezie
DOI: 10.1016/J.HELIYON.2017.E00296
关键词: Bayesian information criterion 、 Natural exponential family 、 Gamma distribution 、 Distribution fitting 、 Laplace distribution 、 Applied mathematics 、 Mathematics 、 Statistics 、 Exponential-logarithmic distribution 、 Posterior predictive distribution 、 Exponential family
摘要: Abstract The Erlang-Truncated Exponential ETE distribution is modified and the new lifetime called Extended EETE distribution. Some statistical reliability properties of are given method maximum likelihood estimate was proposed for estimating model parameters. usefulness flexibility illustrated with an uncensored data set its fit compared that three other three-parameter distributions. Results based on minimized log-likelihood (\(−lˆ\)), Akaike information criterion (AIC), Bayesian (BIC) generalized Cramer–von Mises \(W⋆\) statistics shows provides a more reasonable than one competing
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