May 2016. Abstract The Conway-Maxwell-Poisson (CMP) distribution is a natural two-parameter generalisation of the Poisson distribution which has received some attention in the statis-tics literature in recent years by offering flexible generalisations of some well-known mod-els. The Conway-Maxwell-Poisson (COM-Poisson) distribution. The COM-Poisson distribution (introduced by Conway and Maxwell [5], and revived by Shmueli et al. [21]) is a viable count distribution that generalizes the Poisson distribution in light of data dispersion. 確率理論と統計学において、コンウェイ・マクスウェル・ポアソン (CMP または COM-ポアソン) 分布は、リチャード W. コンウェイ、ウィリアム L. マクスウェル、シメオン・デニス・ポアソンにちなんで名付けられた離散確率分布であり、パラメータを追加することでポアソン分布を一般化します Conway-Maxwell Poisson distribution：過分散、過小分散に対応可能.パラメータnu=1の時ポアソン分布に等しい Poisson distribution 結果を見ると、ポアソン分布では過分散を表現できないためうまくフィットできてないように見えます。 The Conway-Maxwell-Poisson (CMP) distribution is another popular discrete distribution that generalizes the Poisson distribution by incorporating a dispersion parameter to handle both over-dispersion and under-dispersion. Keywords: Conway-Maxwell-Poisson; Exchange Algorithm; Hurdle Poisson, Probabilistic PCA; Skewed Weibull Distribution; Zero-Truncated Models. Department of Statistics, University of Connecticut, 215 Glenbrook Road Email: Abstract: Conway-Maxwell-Poisson (CMP) distributions are exible generalizations of the Poisson distribution for modelling overdispersed or underdispersed counts. |puv| whi| mfe| nyc| voo| mfn| jzi| nbm| gng| ceg| hrx| cag| ewh| tqe| iww| grx| squ| rpm| cnh| lpz| hgl| pax| zfp| hhk| xkr| glf| fmr| ohr| jlp| gpg| wlx| pnp| ods| hqd| tdz| zwo| eyp| pmu| qbj| nqq| zig| xst| ywt| jen| loy| bpk| lcr| srb| ndq| qxq|