Results 11 to 20 of about 4,654,667 (290)

Zero inflated negative binomial-generalized exponential distributionand its applications [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2014
In this paper, we propose a new zero inflated distribution, namely, the zero inflated negative binomial-generalized exponential (ZINB-GE) distribution. The new distribution is used for count data with extra zeros and is an alternative for data analysis
Sirinapa Aryuyuen   +2 more
doaj   +2 more sources

Estimation Parameters And Modelling Zero Inflated Negative Binomial [PDF]

open access: yesCauchy: Jurnal Matematika Murni dan Aplikasi, 2016
Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti   +1 more
doaj   +2 more sources

PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL

open access: yesE-Jurnal Matematika, 2019
Tetanus Neonatorum (TN) is an infectious disease that could be prevented by immunization. East Java Province is the highest numbers of TN case in Indonesia. TN data in East Java contain overdispersion and big proportion of zero-inflation (71,05%).
LUTHFATUL AMALIANA   +2 more
doaj   +2 more sources

Analyzing ingrowth using zero-inflated negative binomial models [PDF]

open access: yesSilva Fennica, 2020
Ingrowth is an important element of stand dynamics in several silvicultural systems, especially in continuous cover forestry. Earlier predictive models for ingrowth in Finnish forests are few and not based on up-to-date statistical methods.
Lappi, Juha, Pukkala, Timo
doaj   +2 more sources

The zero inflated negative binomial – Crack distribution: some properties and parameter estimation [PDF]

open access: yesSongklanakarin Journal of Science and Technology (SJST), 2015
The zero inflated negative binomial-Crack (ZINB-CR) distribution is a mixture of Bernoulli distribution and negative binomial-Crack (NB-CR) distribution, which is an alternative distribution for the excessive zero counts and overdispersion.
Pornpop Saengthong   +2 more
doaj   +1 more source

Marginalized zero-inflated negative binomial regression with application to dental caries. [PDF]

open access: yesStat Med, 2016
The zero‐inflated negative binomial regression model (ZINB) is often employed in diverse fields such as dentistry, health care utilization, highway safety, and medicine to examine relationships between exposures of interest and overdispersed count outcomes exhibiting many zeros.
Preisser JS, Das K, Long DL, Divaris K.
europepmc   +5 more sources

Modelling of tea mosquito bug (Helopeltis theivora) incidence on neem tree: A zero inflated count data analysis

open access: yesJournal of Agrometeorology, 2022
Neem (Azadirachta indica) is an evergreen tree belonging to the Meliaceae family and is highly infected by the seasonal pest called Helopeltis theivora, the tea mosquito bug.
S. VISHNU SHANKAR   +4 more
doaj   +1 more source

Zero-inflated negative binomial regression analysis for the number of days of hospitalization.

open access: yes, 2021
Zero-inflated negative binomial regression analysis for the number of days of hospitalization.
H. C. M. Donders (9853537)   +5 more
core   +1 more source

Justification for considering zero-inflated models in crash frequency analysis

open access: yesTransportation Research Interdisciplinary Perspectives, 2020
One common challenge of modeling intersection related crash data is the high proportion of sites with zero crashes. Extensive research has been done on appropriate methods to handle excess zeroes.
Timo Pew   +3 more
doaj   +1 more source

Bayesian multilevel zero-inflated negative binomial regression: Citations.

open access: yes, 2022
Bayesian multilevel zero-inflated negative binomial regression: Citations.
Jing Zeng (105826)   +2 more
core   +1 more source

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