Results 71 to 80 of about 373,626 (232)

Scale-dependence of the Negative Binomial Pseudo-Maximum Likelihood Estimator [PDF]

Following Santos Silva and Tenreyro (2006), various studies have used the Poisson Pseudo-Maximum Likelihood to estimate gravity specifications of trade flows and non-count data models more generally.
Clément Bosquet, Hervé Boulhol
core  

ANALISIS FAKTOR PENYEBAB PENYAKIT TBC DI JAWA BARAT MENGGUNAKAN REGRESI BINOMIAL NEGATIF

Jurnal Lebesgue
The realization of "Indonesia Emas 2045" is significantly determined by the current Golden Generation. It is expected that this generation possesses high competence, quality, and innovation.
Humaira Zeanova, Peter Taniwan, Rahma Aulia Putri, Defi Yusti Faidah   +3 more
doaj   +1 more source

Negative Binomial Regression

The Mathematica Journal, 2013
where m > 0 is the mean of Y and a > 0 is the heterogeneity parameter. Hilbe [1] derives this parametrization as a Poisson-gamma mixture, or alternatively as the number of failures before the H1 e aLth success, though we will not require 1 e a to be an integer.
openaire   +1 more source

Some Comments about the p-Generalized Negative Binomial (NBp) Model

AppliedMath
This paper describes various selected properties and features of negative binomial (NB) random variables, with special reference to NB2 (i.e., p = 2), and some generalizations to NBp (i.e., p ≥ 2), specifications.
Daniel A. Griffith
doaj   +1 more source

On the Sums of Compound Negative Binomial and Gamma Random Variables [PDF]

, 2009
P. Vellaisamy, Neelesh S. Upadhye
openalex   +1 more source

Linking the Negative Binomial and Logarithmic Series Distributions via their Associated Series Relacionando las distribuciones binomial negativa\ y logarítmica vía sus series asociadas

Revista Colombiana de Estadística, 2008
The negative binomial distribution is associated to the series obtained by taking derivatives of the logarithmic series. Conversely, the logarithmic series distribution is associated to the series found by integrating the series associated to the ...
MAURICIO SADINLE
doaj  

Generalized fractional negative binomial process

Statistics & Probability Letters
In this paper, we introduce a generalized fractional negative binomial process (GFNBP) by time changing the fractional Poisson process with an independent Mittag-Leffler (ML) Levy subordinator. We study its distributional properties and its connection to PDEs.
Soni, Ritik, Pathak, Ashok Kumar
openaire   +3 more sources

Gaussian binomial coefficients with negative arguments [PDF]

, 2018
Sam Formichella, Armin Straub
openalex   +1 more source

ASSESSMENT OF ARTIFICIAL INSEMINATION AND INFLUENTIAL VARIABLES OF FERTILITY IN CATTLE USING NEGATIVE BINOMIAL REGRESSION [PDF]

, 2022
Muhammad Shoaib
openalex   +1 more source

Objective Bayesian analysis of the 2 x 2 contingency table and the negative binomial distribution [PDF]

, 2018
John Christian Snyder
openalex   +1 more source