Results 271 to 280 of about 12,925 (288)

A New Zero-Inflated Negative Binomial Methodology for Latent Category Identification

Psychometrika, 2013
We 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

Sampling plans for the zero‐inflated negative binomial distribution in the food industry

Quality and Reliability Engineering International, 2018
AbstractIn 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

Multivariate random parameters zero-inflated negative binomial regression for analyzing urban midblock crashes

Analytic Methods in Accident Research, 2018
Urban midblock crashes are influenced mainly by traffic operation and roadway geometric features. In this paper, 10-year crash data from 1,506 directional urban midblock segments in Nebraska were analyzed using the multivariate random parameters zero ...
Chenhui Liu, Anuj Sharma
exaly   +2 more sources

Using shrinkage strategies to estimate fixed effects in zero-inflated negative binomial mixed model

Communications in Statistics Part B: Simulation and Computation, 2023
Zahra Zandi, Hossein Bevrani, Reza Arabi Belaghi   +2 more
exaly  

Zero-Inflated Negative Binomial Mixed Models for Predicting Number of Wildfires

SSRN Electronic Journal, 2022
Maria Bugallo, Manuel Francisco Marey-Pérez, Domingo Morales, María Dolores Esteban   +3 more
openaire   +1 more source

Zero-Inflated Poisson and Negative Binomial Regressions for Technology Analysis

International Journal of Software Engineering and Its Applications, 2016
Jong-Min Kim, Sunghae Jun
openaire   +1 more source

The importance of distribution-choice in modeling substance use data: a comparison of negative binomial, beta binomial, and zero-inflated distributions

American Journal of Drug and Alcohol Abuse, 2015
Brandie D Wagner, Paula Riggs
exaly  

Zero-inflated Poisson and negative binomial regression models [PDF]

Stata Technical Bulletin, 1999
openaire  

Factors related to the use of antenatal care services in Ethiopia: Application of the zero-inflated negative binomial model

Women and Health, 2017
Enyew Assefa, Mekonnen Tadesse
exaly  

Bayesian estimation and case influence diagnostics for the zero-inflated negative binomial regression model

Journal of Applied Statistics, 2015
Aldo M Garay, VÍCTOR H Lachos, Heleno Bolfarine   +2 more
exaly