Results 251 to 260 of about 4,654,667 (290)
Biometrics, 2001 Summary. Count data often show a higher incidence of zero counts than would be expected if the data were Poisson distributed. Zero‐inflated Poisson regression models are a useful class of models for such data, but parameter estimates may be seriously biased if the nonzero counts are overdispersed in relation to the Poisson distribution.
John Hinde +2 more
exaly +4 more sources
On Estimation and Influence Diagnostics for Zero-Inflated Negative Binomial Regression Models
Computational Statistics and Data Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aldo M Garay +2 more
exaly +3 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions
Sankhya A, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab Kumar Maity, Erina Paul
openaire +2 more sources
The Zero-Inflated Negative Binomial-Exponential Distribution and Its Application
Lobachevskii Journal of Mathematics, 2021zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bodhisuwan, Rujira, Kehler, Adam
exaly +2 more sources
Zero-inflated non-central negative binomial distribution
Applied Mathematics-A Journal of Chinese Universities, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian, Wei-zhong +2 more
openaire +1 more source
A new Stein estimator for the zero‐inflated negative binomial regression model
Concurrency and Computation: Practice and Experience, 2022Abstract The Zero‐inflated negative binomial (ZINB) regression models are mainly applied for count data that shows over‐dispersion and extra zeros. Multicollinearity is considered to be a significant problem in the estimation of parameters in the ZINB regression model.
Muhammad Nauman Akram +4 more
openaire +1 more source
ZERO-INFLATED NEGATIVE BINOMIAL-LINDLEY DISTRIBUTION AND ITS APPLICATION
Far East Journal of Theoretical Statistics, 2019Summary: There are increasingly many attempts made in expanding the classes of mixed and compound distributions, especially using Lindley distribution which gives the better fit for count data. Further, many researchers have shown a keen interest in generalizing the Lindley distribution.
Sakthivel, K. M., Rajitha, C. S.
openaire +1 more source
A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification
Psychometrika, 2013We introduce a new statistical procedure for the identification of unobserved categories that vary between individuals and in which objects may span multiple categories. This procedure can be used to analyze data from a proposed sorting task in which individuals may simultaneously assign objects to multiple piles. The results of a synthetic example and
Blanchard, Simon J., Desarbo, Wayne S.
openaire +3 more sources
A Test for Lack-of-Fit of Zero-Inflated Negative Binomial Models
Journal of Statistical Computation and Simulation, 2019When a count data set has excessive zero counts, nonzero counts are overdispersed, and the effect of a continuous covariate might be nonlinear, for analysis a semiparametric zero-inflated negative ...
Chin-Shang Li +2 more
exaly +2 more sources
Sampling plans for the zero‐inflated negative binomial distribution in the food industry
Quality and Reliability Engineering International, 2018AbstractIn this paper, we propose 3 new sampling plans, including resubmitted single sampling plan (RSSP), repetitive group sampling (RGS) plan, and multiple dependent state (MDS) sampling plan to study the zero‐inflated negative binomial distribution in microbiological food safety and quality assurance practices.
Fu-Kwun Wang, Shalemu Sharew Hailemariam
openaire +1 more source