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Research article

First published 2022-5

On Zero-truncated Alternative Hyper-Poisson Distribution and Its Applications

C. Satheesh Kumar, Emil Ninan Abraham

Calcutta Statistical Association Bulletin

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Research article

First published 2014-10

Sensitivity analysis and calibration of population size estimates obtained with the zero-truncated Poisson regression model

Maarten JLF Cruyff, Peter GM Van der Heijden

Statistical Modelling

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Research article

First published 2019-8

A new and intuitive test for zero modification

Paul Wilson, Jochen Einbeck

Statistical Modelling

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Research article

First published 2013-5

A Bayesian model for censored positive count data in evaluating breast cancer progression

Hung-Wen Yeh, Yu Jiang, Lili Garrard [...]

Model Assisted Statistics and Applications

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Research article

First published 2012-11

Understanding Urban Tourism Attractiveness

Juan Gabriel Brida, Marta Meleddu, Manuela Pulina

Journal of Travel Research

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Research article

First published 2020-8

Random forests for homogeneous and non-homogeneous Poisson processes with excess zeros

Walid Mathlouthi, Denis Larocque, Marc Fredette

Statistical Methods in Medical Research

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Research article

First published 2007-12

Using Poisson Class Regression To Analyze Count Data in Correctional and Forensic Psychology

Glenn D. Walters

Criminal Justice and Behavior

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Research article

First published 2003-12

Point and interval estimation of the population size using the truncated Poisson regression model

Peter GM van der Heijden, Rami Bustami, Maarten JLF Cruyff [...]

Statistical Modelling

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Research article

First published 2011-3

Estimation of Hurdle Models for Overdispersed Count Data

Helmut Farbmacher

The Stata Journal: Promoting communications on statistics and Stata

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Research article

First published 2022-6

Estimating Population Size of Criminals: A New Horvitz–Thompson Estimator under One-Inflated Positive Poisson–Lindley Model

Razik Ridzuan Mohd Tajuddin, Noriszura Ismail, Kamarulzaman Ibrahim

Crime & Delinquency

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