[图书][B] The Conway–Maxwell–Poisson distribution
KF Sellers - 2023 - books.google.com
While the Poisson distribution is a classical statistical model for count data, the distributional
model hinges on the constraining property that its mean equal its variance. This text instead …
model hinges on the constraining property that its mean equal its variance. This text instead …
Multivariate Conway-Maxwell-Poisson distribution: Sarmanov method and doubly intractable Bayesian inference
LSC Piancastelli, N Friel, W Barreto-Souza… - … of Computational and …, 2023 - Taylor & Francis
In this article, a multivariate count distribution with Conway-Maxwell (COM)-Poisson
marginals is proposed. To do this, we develop a modification of the Sarmanov method for …
marginals is proposed. To do this, we develop a modification of the Sarmanov method for …
Deep learning the nonclassicality within quasi-distribution representations from marginals
To unequivocally distinguish the genuine quantumness from classicality, a widely adopted
approach appeals to the negativity within a join quasi-distribution representation as a …
approach appeals to the negativity within a join quasi-distribution representation as a …
A flexible bivariate distribution for count data expressing data dispersion
KS Weems, KF Sellers, T Li - Communications in Statistics-Theory …, 2023 - Taylor & Francis
The bivariate Poisson distribution is a natural choice for modeling bivariate count data. Its
constraining assumption, however, limits model flexibility in some contexts. This work …
constraining assumption, however, limits model flexibility in some contexts. This work …
Uniformly most powerful unbiased tests for the dispersion parameter of the Conway–Maxwell–Poisson distribution
S Bedbur, U Kamps - Statistics & Probability Letters, 2023 - Elsevier
Uniformly most powerful unbiased tests for one-sided hypotheses about the dispersion
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …
parameter of the Conway–Maxwell–Poisson distribution are derived by utilizing the …
A bivariate distribution with convolution of binomials as marginals
The convolution of two binomial random variables has appeared in various settings such as
a model in machine maintenance and as a Markov chain model. This article presents a …
a model in machine maintenance and as a Markov chain model. This article presents a …
Characterizing Existence and Location of the ML Estimate in the Conway–Maxwell–Poisson Model
S Bedbur, A Imm, U Kamps - Mathematical Methods of Statistics, 2024 - Springer
As a flexible extension of the common Poisson model, the Conway–Maxwell–Poisson
distribution allows for describing under-and overdispersion in count data via an additional …
distribution allows for describing under-and overdispersion in count data via an additional …
Deep-ultraviolet optoelectronic devices enabled by the hybrid integration of next-generation semiconductors and emerging device platforms
N Alfaraj - 2019 - repository.kaust.edu.sa
In this dissertation, the design and fabrication of deep-ultraviolet photodetectors were
investigated based on gallium oxide and its alloys, through the heterogeneous integration …
investigated based on gallium oxide and its alloys, through the heterogeneous integration …
On a Bivariate Katz's Distribution Constructed by the Trivariate Reduction Method
MK Diafouka, CG Louzayadio - Serdica Journal of …, 2023 - serdica-comp.math.bas.bg
In this paper, we propose the bivariate distribution of the Katz distribution [1] constructed by
the trivariate reduction method, method developed in [6] and used in [5] to give an …
the trivariate reduction method, method developed in [6] and used in [5] to give an …
A REVIEW OF BIVARIATE COM-POISSON DISTRIBUTIONS INTO TYPE 1, TYPE 2 AND TYPE 3 MODELS
E NGUESSOLTA, RFM KITOTI… - Far East Journal of …, 2024 - pphmjopenaccess.com
This paper reviews bivariate COM-Poisson laws as the type 1, type 2 and type 3 models.
The COM-Poisson distributions of type 1, type 2 and type 3 are shown to be members of the …
The COM-Poisson distributions of type 1, type 2 and type 3 are shown to be members of the …