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Pemodelan Kasus Kusta Jawa Timur Menggunakan Zero-Inflated Generalized Poisson Regression dan Zero-Inflated Negative Binomial Regression

Jurnal Sains dan Seni ITS
Dhea Mutiara Pertiwi, Purhadi Purhadi
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gllvm 2.0: fast fitting of advanced ordination methods and joint species distribution models. [PDF]

PeerJ
Korhonen P, Hui FKC, Niku J, Taskinen S, van der Veen B.   +4 more
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Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions

Sankhya A, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab Kumar Maity, Erina Paul
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Zero-inflated non-central negative binomial distribution

Applied Mathematics-A Journal of Chinese Universities, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tian, Wei-zhong, Liu, Ting-ting, Yang, Yao-ting   +2 more
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The Zero-inflated Negative Binomial-Exponential Distribution and Its Application

Lobachevskii Journal of Mathematics, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bodhisuwan, Rujira, Kehler, Adam
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ZERO-INFLATED NEGATIVE BINOMIAL-LINDLEY DISTRIBUTION AND ITS APPLICATION

Far East Journal of Theoretical Statistics, 2019
Summary: 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.
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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.
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Zero inflated negative binomial-Sushila distribution and its application

AIP Conference Proceedings, 2017
A new zero inflated distribution is proposed in this work, namely the zero inflated negative binomial-Sushila distribution. The new distribution which is a mixture of the Bernoulli and negative binomial-Sushila distributions is an alternative distribution for the excessive zero counts and over-dispersion.
Darika Yamrubboon, Ampai Thongteeraparp, Winai Bodhisuwan, Katechan Jampachaisri   +3 more
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