Results 11 to 20 of about 8,812 (115)

Wildfire prediction using zero-inflated negative binomial mixed models: Application to Spain

Journal of Environmental Management, 2023
Wildfires have changed in recent decades. The catastrophic wildfires make it necessary to have accurate predictive models on a country scale to organize firefighting resources. In Mediterranean countries, the number of wildfires is quite high but they are mainly concentrated around summer months.
María Bugallo, María Dolores Esteban, Manuel Francisco Marey-Pérez, Domingo Morales   +3 more
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On a Characterization of Zero-Inflated Negative Binomial Distribution

Open Journal of Statistics, 2015
Zero-inflated negative binomial distribution is characterized in this paper through a linear differential equation satisfied by its probability generating function.
R. Suresh, G. Nanjundan, S. Nagesh, Sadiq Pasha   +3 more
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COM-negative binomial distribution: modeling overdispersion and ultrahigh zero-inflated count data [PDF]

Frontiers of Mathematics in China, 2018
In this paper, we focus on the COM-type negative binomial distribution with three parameters, which belongs to COM-type $(a,b,0)$ class distributions and family of equilibrium distributions of arbitrary birth-death process. Besides, we show abundant distributional properties such as overdispersion and underdispersion, log-concavity, log-convexity ...
Zhang, Huiming, Tan, Kai, Li, Bo
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Comparing Zero-inflated Poisson, Zero-inflated Negative Binomial and Zero-inflated Geometric in Count Data with Excess Zero

Asian Journal of Probability and Statistics, 2019
Count data often violate the assumptions of a normal distribution due to the fact that they are bounded by their lowest value which is zero. The Poison distribution is sometimes suggested but when the assumption of equal mean and variance is violated due to over-dispersion and presence of zeros we tend to look in the direction of other models.
R. A. Ipinyomi, M. I. Adarabioyo
openaire   +2 more sources

Simulation Study of Zero Inflated Negative Binomial Regression

CAUCHY: Jurnal Matematika Murni dan Aplikasi
This study aims at evaluating the performance of Zero Inflated Negative Binomial (ZINB) regression analysis using the Maximum Likelihood Estimation (MLE) approach through simulation study. The research data used are secondary data and simulations. Secondary data was obtained from the Ministry of Health of the Republic of Indonesia in 2023 regarding ...
Santi Wahyu Salsabila, Achmad Efendi, Nurjannah Nurjannah   +2 more
openaire   +1 more source

Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial

Journal of Physics: Conference Series, 2017
Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation.
Luthfatul Amaliana, Umu Sa’adah, Ni Wayan Surya Wardhani   +2 more
openaire   +1 more source

Zero-Inflated Negative Binomial Regression Model with Right Censoring Count Data [PDF]

Journal of Materials Science and Engineering B, 2011
A Poisson model is typically assumed for count data, but when there are so many zeros in the response variable, because of overdispersion, a negative binomial regression is suggested as a count regression instead of Poisson regression. In this paper, a zero-inflated negative binomial regression model with right censoring count data is developed.
null Seyed Ehsan Saffari, null Robiah Adnan   +1 more
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PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL

E-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, UMU SA’ADAH, NI WAYAN SURYA WARDHANI   +2 more
openaire   +1 more source

Pemodelan Pneumonia Berat Menggunakan Regresi Zero Inflated Negative Binomial di Gorontalo

Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi, 2022
In certain cases, the response variable has an excess zero that causes overdispersion. Therefore, to overcome overdispersion because excess zero Zero-inflated negative binomial regression can be used. The purpose of this study is to apply Zero inflated negative binomial regression to model the case of severe pneumonia in Bone Bolango and on the city of
Novianita Achmad, Muhammad Rezky Friesta Payu, Yolanda Rahim   +2 more
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PERFORMA PROPORSI ZERO-INFLATION PADA REGRESI ZERO-INFLATED NEGATIVE BINOMIAL (STUDI KASUS: DATA TETANUS NEONATORUM DI JAWA TIMUR)

E-Jurnal Matematika, 2018
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, UMU SA’ADAH, NI WAYAN SURYA WARDHANI   +2 more
openaire   +3 more sources