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Dissertations / Theses on the topic 'Zero inflated poisson regression'

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Published: 4 June 2021

Last updated: 27 July 2025

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1

Roemmele, Eric S. "A Flexible Zero-Inflated Poisson Regression Model." UKnowledge, 2019. https://uknowledge.uky.edu/statistics_etds/38.

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A practical problem often encountered with observed count data is the presence of excess zeros. Zero-inflation in count data can easily be handled by zero-inflated models, which is a two-component mixture of a point mass at zero and a discrete distribution for the count data. In the presence of predictors, zero-inflated Poisson (ZIP) regression models are, perhaps, the most commonly used. However, the fully parametric ZIP regression model could sometimes be restrictive, especially with respect to the mixing proportions. Taking inspiration from some of the recent literature on semiparametric mi

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2

Wan, Chung-him, and 溫仲謙. "Analysis of zero-inflated count data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43703719.

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Wan, Chung-him. "Analysis of zero-inflated count data." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B43703719.

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4

Jansakul, Naratip. "Some aspects of modelling overdispersed and zero-inflated count data." Thesis, University of Exeter, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.364435.

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5

Prasad, Jonathan P. "Zero-Inflated Censored Regression Models: An Application with Episode of Care Data." BYU ScholarsArchive, 2009. https://scholarsarchive.byu.edu/etd/2226.

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The objective of this project is to fit a sequence of increasingly complex zero-inflated censored regression models to a known data set. It is quite common to find censored count data in statistical analyses of health-related data. Modeling such data while ignoring the censoring, zero-inflation, and overdispersion often results in biased parameter estimates. This project develops various regression models that can be used to predict a count response variable that is affected by various predictor variables. The regression parameters are estimated with Bayesian analysis using a Markov chain Mont

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6

Zeileis, Achim, Christian Kleiber, and Simon Jackman. "Regression Models for Count Data in R." Foundation for Open Access Statistics, 2008. http://epub.wu.ac.at/4986/1/Zeileis_etal_2008_JSS_Regression%2DModels%2Dfor%2DCount%2DData%2Din%2DR.pdf.

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The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing. After reviewing the conceptual and computational features of these methods, a new implementation of hurdle and zero-inflated regression models in the functions hurdle() and zeroinfl() from the package pscl is introduced. It re-uses design and functionality of the basic R functions just as the underlying conceptual tools extend the classical models. Both hurdle

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7

Zeileis, Achim, Christian Kleiber, and Simon Jackman. "Regression Models for Count Data in R." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 2007. http://epub.wu.ac.at/1168/1/document.pdf.

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The classical Poisson, geometric and negative binomial regression models for count data belong to the family of generalized linear models and are available at the core of the statistics toolbox in the R system for statistical computing. After reviewing the conceptual and computational features of these methods, a new implementation of zero-inflated and hurdle regression models in the functions zeroinfl() and hurdle() from the package pscl is introduced. It re-uses design and functionality of the basic R functions just as the underlying conceptual tools extend the classical models. Both model c

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8

Rogers, Jennifer Kathleen. "Safety Benchmarking of Industrial Construction Projects Based on Zero Accidents Techniques." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/42859.

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Safety is a continually significant issue in the construction industry. The Occupation Safety and Health Administration as well as individual construction companies are constantly working on verifying that their selected safety plans have a positive effect on reduction of workplace injuries. Worker safety is a large concern for both the workers and employers in construction and the government also attempts to impose effective regulations concerning minimum safety requirements. There are many different methods for creating and implementing a safety plan, most notably the Construction Industry

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9

Liu, Hai Chan Kung-sik. "Semiparametric regression analysis of zero-inflated data." Iowa City : University of Iowa, 2009. http://ir.uiowa.edu/etd/308.

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10

Liu, Hai. "Semiparametric regression analysis of zero-inflated data." Diss., University of Iowa, 2009. https://ir.uiowa.edu/etd/308.

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Zero-inflated data abound in ecological studies as well as in other scientific and quantitative fields. Nonparametric regression with zero-inflated response may be studied via the zero-inflated generalized additive model (ZIGAM). ZIGAM assumes that the conditional distribution of the response variable belongs to the zero-inflated 1-parameter exponential family which is a probabilistic mixture of the zero atom and the 1-parameter exponential family, where the zero atom accounts for an excess of zeroes in the data. We propose the constrained zero-inflated generalized additive model (COZIGAM) for

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11

Paneru, Khyam Narayan. "Regression Analysis for Zero Inflated Population Under Complex Sampling Designs." Bowling Green State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1375197852.

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12

Pedersen, Kristen E. "Sample Size Determination in Auditing Accounts Receivable Using a Zero-Inflated Poisson Model." Digital WPI, 2010. https://digitalcommons.wpi.edu/etd-theses/421.

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In the practice of auditing, a sample of accounts is chosen to verify if the accounts are materially misstated, as opposed to auditing all accounts; it would be too expensive to audit all acounts. This paper seeks to find a method for choosing a sample size of accounts that will give a more accurate estimate than the current methods for sample size determination that are currently being used. A review of methods to determine sample size will be investigated under both the frequentist and Bayesian settings, and then our method using the Zero-Inflated Poisson (ZIP) model will be introduced which

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13

Guo, Yixuan. "Bayesian Model Selection for Poisson and Related Models." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177.

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14

Kreider, Scott Edwin Douglas. "A case study in handling over-dispersion in nematode count data." Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4248.

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15

Fan, Huihao. "Test of Treatment Effect with Zero-Inflated Over-Dispersed Count Data from Randomized Single Factor Experiments." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1407404513.

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16

Gao, Siyu. "The impact of misspecification of nuisance parameters on test for homogeneity in zero-inflated Poisson model: a simulation study." Kansas State University, 2014. http://hdl.handle.net/2097/17804.

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Master of Science<br>Department of Statistics<br>Wei-Wen Hsu<br>The zero-inflated Poisson (ZIP) model consists of a Poisson model and a degenerate distribution at zero. Under this model, zero counts are generated from two sources, representing a heterogeneity in the population. In practice, it is often interested to evaluate this heterogeneity is consistent with the observed data or not. Most of the existing methodologies to examine this heterogeneity are often assuming that the Poisson mean is a function of nuisance parameters which are simply the coefficients associated with covariates. Howe

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17

Ljung, Carolina, and Maria Svedberg. "Estimation of Loss Given Default Distributions for Non-Performing Loans Using Zero-and-One Inflated Beta Regression Type Models." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273593.

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This thesis investigates three different techniques for estimating loss given default of non-performing consumer loans. This is a contribution to a credit risk evaluation model compliant with the regulations stipulated by the Basel Accords, regulating the capital requirements of European financial institutions. First, multiple linear regression is applied, and thereafter, zero-and-one inflated beta regression is implemented in two versions, with and without Bayesian inference. The model performances confirm that modeling loss given default data is challenging, however, the result shows that th

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18

Wang, Shin Cheng. "Analysis of Zero-Heavy Data Using a Mixture Model Approach." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30357.

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The problem of high proportion of zeroes has long been an interest in data analysis and modeling, however, there are no unique solutions to this problem. The solution to the individual problem really depends on its particular situation and the design of the experiment. For example, different biological, chemical, or physical processes may follow different distributions and behave differently. Different mechanisms may generate the zeroes and require different modeling approaches. So it would be quite impossible and inflexible to come up with a unique or a general solution. In this dissertation

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Silva, João Flávio Andrade. "Modelos preditivos para LGD." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/104/104131/tde-13112018-084000/.

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As instituições financeiras que pretendem utilizar a IRB (Internal Ratings Based) avançada precisam desenvolver métodos para estimar a componente de risco LGD (Loss Given Default). Desde a década de 1950 são apresentadas propostas para modelagem da PD (Probability of default), em contrapartida, a previsão da LGD somente recebeu maior atenção após a publicação do Acordo Basileia II. A LGD possui ainda uma literatura pequena, se comparada a PD, e não há um método eficiente em termos de acurácia e interpretação como é a regressão logística para a PD. Modelos de regressão para LGD desempenham um p

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Silva, Deise Deolindo. "Classe de distribuições série de potências inflacionadas com aplicações." Universidade Federal de São Carlos, 2009. https://repositorio.ufscar.br/handle/ufscar/4536.

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Made available in DSpace on 2016-06-02T20:06:03Z (GMT). No. of bitstreams: 1 2510.pdf: 1878422 bytes, checksum: 882e21e70271b7a106e3a27a080da004 (MD5) Previous issue date: 2009-04-06<br>This work has as central theme the Inflated Modified Power Series Distributions, where the objective is to study its main properties and the applicability in the bayesian context. This class of models includes the generalized Poisson, binomial and negative binomial distributions. These probability distributions are very helpful to models discrete data with inflated values. As particular case the - zero inflat

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Zavaleta, Katherine Elizabeth Coaguila. "Modelo destrutivo com variável terminal em experimentos quimiopreventivos de tumores em animais." Universidade Federal de São Carlos, 2012. https://repositorio.ufscar.br/handle/ufscar/4561.

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Made available in DSpace on 2016-06-02T20:06:07Z (GMT). No. of bitstreams: 1 4375.pdf: 903031 bytes, checksum: 03118f406867a5d7be3cbc63571d4a2b (MD5) Previous issue date: 2012-04-12<br>Financiadora de Estudos e Projetos<br>The chemical induction of carcinogens in chemopreventive animal experiments is becoming increasingly frequent in biological research. The purpose of these biological experiments is to evaluate the effect of a particular treatment on the rate of tumors incidence in animals. In this work, the number of promoted tumors per animal will be parametrically modeled following the s

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22

Low, Wan Jing. "Variants of compound models and their application to citation analysis." Thesis, University of Wolverhampton, 2017. http://hdl.handle.net/2436/620467.

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This thesis develops two variant statistical models for count data based upon compound models for contexts when the counts may be viewed as derived from two generations, which may or may not be independent. Unlike standard compound models, the variants model the sum of both generations. We consider cases where both generations are negative binomial or one is Poisson and the other is negative binomial. The first variant, denoted SVA, follows a zero restriction, where a zero in the first generation will automatically be followed by a zero in the second generation. The second variant, denoted SVB

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23

Qader, Aso, and William Shiver. "Developing an Advanced Internal Ratings-Based Model by Applying Machine Learning." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273418.

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Since the regulatory framework Basel II was implemented in 2007, banks have been allowed to develop internal risk models for quantifying the capital requirement. By using data on retail non-performing loans from Hoist Finance, the thesis assesses the Advanced Internal Ratings-Based approach. In particular, it focuses on how banks active in the non-performing loan industry, can risk-classify their loans despite limited data availability of the debtors. Moreover, the thesis analyses the effect of the maximum-recovery period on the capital requirement. In short, a comparison of five different mat

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24

Shahtahmassebi, Golnaz. "Bayesian modelling of ultra high-frequency financial data." Thesis, University of Plymouth, 2011. http://hdl.handle.net/10026.1/894.

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The availability of ultra high-frequency (UHF) data on transactions has revolutionised data processing and statistical modelling techniques in finance. The unique characteristics of such data, e.g. discrete structure of price change, unequally spaced time intervals and multiple transactions have introduced new theoretical and computational challenges. In this study, we develop a Bayesian framework for modelling integer-valued variables to capture the fundamental properties of price change. We propose the application of the zero inflated Poisson difference (ZPD) distribution for modelling UHF d

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Cheng, Lulu. "Statistical Methods for Genetic Pathway-Based Data Analysis." Diss., Virginia Tech, 2013. http://hdl.handle.net/10919/52039.

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The wide application of the genomic microarray technology triggers a tremendous need in the development of the high dimensional genetic data analysis. Many statistical methods for the microarray data analysis consider one gene at a time, but they may miss subtle changes at the single gene level. This limitation may be overcome by considering a set of genes simultaneously where the gene sets are derived from the prior biological knowledge and are called "pathways". We have made contributions on two specific research topics related to the high dimensional genetic pathway data. One is to propose

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26

Shields, Andrew V. "Summer Watering Patterns of Mule Deer and Differential Use of Water by Bighorn Sheep, Elk, Mule Deer, and Pronghorn in Utah." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3920.

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Changes in the abundance and distribution of free (drinking) water can influence wildlife in arid regions. In the western USA, free water is considered by wildlife managers to be important for bighorn sheep (Ovis canadensis), elk (Cervus elaphus), mule deer (Odocoileus hemionus), and pronghorn (Antilocapra americana). Nonetheless, we lack information on the influence of habitat and landscape features surrounding water sources, including wildlife water developments, and how these features may influence use of water by sexes differently. Consequently, a better understanding of differential use o

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27

Ancelet, Sophie. "Exploiter l'approche hiérarchique bayésienne pour la modélisation statistique de structures spatiales: application en écologie des populations." Phd thesis, AgroParisTech, 2008. http://pastel.archives-ouvertes.fr/pastel-00004396.

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Dans la plupart des questions écologiques, les phénomènes aléatoires d'intérêt sont spatialement structurés et issus de l'effet combiné de multiples variables aléatoires, observées ou non, et inter-agissant à diverses échelles. En pratique, dès lors que les données de terrain ne peuvent être directement traitées avec des structures spatiales standards, les observations sont généralement considérées indépendantes. Par ailleurs, les modèles utilisés sont souvent basés sur des hypothèses simplificatrices trop fortes par rapport à la complexité des phénomènes étudiés. Dans ce travail, la démarche

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28

Llorens, Aleixandre Noelia. "Evaluación en el modelado de las respuestas de recuento." Doctoral thesis, Universitat de les Illes Balears, 2005. http://hdl.handle.net/10803/9446.

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Este trabajo presenta dos líneas de investigación desarrolladas en los últimos años en torno a la etapa de evaluación en datos de recuento. Los campos de estudio han sido: los datos de recuento, concretamente el estudio del modelo de regresión de Poisson y sus extensiones y la etapa de evaluación como punto de inflexión en el proceso de modelado estadístico. Los resultados obtenidos ponen de manifiesto la importancia de aplicar el modelo adecuado a las características de los datos así como de evaluar el ajuste del mismo. Por otra parte la comparación de pruebas, índices, estimadores y modelos

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Karmann, Clémence. "Inférence de réseaux pour modèles inflatés en zéro." Thesis, Université de Lorraine, 2019. http://www.theses.fr/2019LORR0146/document.

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L'inférence de réseaux ou inférence de graphes a de plus en plus d'applications notamment en santé humaine et en environnement pour l'étude de données micro-biologiques et génomiques. Les réseaux constituent en effet un outil approprié pour représenter, voire étudier des relations entre des entités. De nombreuses techniques mathématiques d'estimation ont été développées notamment dans le cadre des modèles graphiques gaussiens mais aussi dans le cas de données binaires ou mixtes. Le traitement des données d'abondance (de micro-organismes comme les bactéries par exemple) est particulier pour deu

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Vinay, Nicolas. "Stratégie de promotion de la santé orale chez l'enfant et étude de l'efficacité d'un programme mené dans les établissements scolaires de Montpellier." Thesis, Montpellier, 2020. http://www.theses.fr/2020MONTS007.

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En 2003, le programme mondial pour la santé orale de l’Organisation Mondiale de la Santé a été réorienté selon la nouvelle stratégie d’intégration de la santé orale à la prévention des maladies chroniques. La promotion de la santé y est reconnue comme une stratégie économiquement efficiente pour réduire à la fois le fardeau social et économique des maladies bucco-dentaires, maintenir une bonne santé orale et la qualité de vie. L’école constitue un moyen efficace pour promouvoir la santé parce qu’elle permet d’accéder à plusieurs millions d’enfants scolarisés à travers le monde. La promotion de

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Karmann, Clémence. "Inférence de réseaux pour modèles inflatés en zéro." Electronic Thesis or Diss., Université de Lorraine, 2019. http://www.theses.fr/2019LORR0146.

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L'inférence de réseaux ou inférence de graphes a de plus en plus d'applications notamment en santé humaine et en environnement pour l'étude de données micro-biologiques et génomiques. Les réseaux constituent en effet un outil approprié pour représenter, voire étudier des relations entre des entités. De nombreuses techniques mathématiques d'estimation ont été développées notamment dans le cadre des modèles graphiques gaussiens mais aussi dans le cas de données binaires ou mixtes. Le traitement des données d'abondance (de micro-organismes comme les bactéries par exemple) est particulier pour deu

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32

Teng, Yungchu, and 鄧詠竹. "A Study On Zero-and-K-Inflated Poisson Regression Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/74275146426708698381.

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碩士<br>國立臺北大學<br>統計學系<br>100<br>In the public health, social science, engineering science, agricultural science and other disciplines, it is common to use the Poisson (POI) regression to analyze discrete count data. However, excessive zeros often occur in the data and then cause over-dispersion. Therefore, Lambert (1992) proposed the zero-inflated Poisson (ZIP) regression model to fit such data. In this research, we extend the zero-inflated Poisson regression model to the zero-and-K-inflated Poisson (ZKIP) regression model. The ZKIP model can be applied to count data, which contains extra z

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Lukusa, Martin Tshishimbi Wa, and 盧馬汀. "Semiparametric Estimation of a Zero-Inflated Poisson Regression Model with Missing Covariates." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/73140756254761603751.

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博士<br>逢甲大學<br>統計學系應用統計博士班<br>104<br>Besides the usual problem of overdispersion encountered in ﬁtting a response count data set with excess of zeroes, some covariates involved in modeling the Poisson mean and mixing probability in a zero-inﬂated Poisson (ZIP) regression model are likely to have missings. In the presence of missing values in covariates, inference based only on complete cases may not provide eﬃcient results because some available information is discarded by deletion of cases. To obtain the unbiased estimators of the parameters of a ZIP regression model with missing covariates, w

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Santos, Jorge Helder Pereira dos. "Modelos para dados de contagem com excesso de zeros." Master's thesis, 2013. http://hdl.handle.net/1822/29402.

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Dissertação de mestrado em Estatística<br>Os modelos de regressão para dados de contagem são muito utilizados nas mais variadas áreas de estudo para a modelação de fenómenos. Estes modelos integram um quadro especial de metodologias devido ao facto de a variável resposta tomar apenas valores inteiros não negativos. A distribuição de Poisson é a mais conhecida, e a mais utilizada para modelar dados de contagem, no entanto sempre que existe sobredispersão, torna-se necessário recorrer a outras distribuições, nomeadamente à distribuição Binomial Negativa. Outro problema comum nos dados de co

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Ling, Wodan. "Quantile regression for zero-inflated outcomes." Thesis, 2019. https://doi.org/10.7916/d8-rre7-sw52.

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Zero-inflated outcomes are common in biomedical studies, where the excessive zeros indicate some special but undetectable events. Quantile regression is potentially advantageous in analyzing zero-inflated outcomes due to two reasons. First, compared to parametric models such as the zero-inflated Poisson and two-part model, quantile regression gives robust and accurate estimation by avoiding likelihood specification and can capture the tail events and heterogeneity over the outcome distribution. Second, while the mean-based regression may be misinterpreted for a zero-inflated outcome, the inter

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Xu, Jing. "Semiparametric zero-inflated regression models estimation and inference /." 2009. http://purl.galileo.usg.edu/uga%5Fetd/xu%5Fjing%5F200912%5Fphd.

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Hsu, Hsiao-Chun, and 徐小鈞. "A study on Multiple-Inflated Truncated Poisson Regression Model." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/17451212732764791536.

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碩士<br>國立臺北大學<br>統計學系<br>101<br>The count data are quite common in various fields, and excessive zeros and some non-zero positive integers often occur in real data, for example, number of days subjects felt uncomfortable in the past month. The respondents often answer 0, 30, and multiples of 5 and 7. The situation is an example of multiple-inflated data. In this study, we extended the concept of zero-inflated Poisson distribution, and used the number of some certain behavior in two weeks as a case. The events can be grouped two parts: inflated values and non-inflated values; the former include

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Yi-HengLin and 林翊亨. "Applying Zero-inflated Poisson Model for High-quality process Control Chart." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/90999020600242766344.

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碩士<br>國立成功大學<br>工業與資訊管理學系專班<br>98<br>Attribute c control chart is a Poisson distribution based on the central limit theorem (CLT). With the emergence of high-quality process, the number of defects was substantially reduced. However, the reduction in defects created an excessive amount of zero counts on the c chart. Additionally, it caused the control limit to approach zero or negative. The c control chart was led to invalid CLT assumptions and generated many false alarms. Therefore, the c chart was inadequate. Due to very few numbers of defects on process, the zero count was inadequate in moni

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Yu, Jen-Hsiung, and 游仁雄. "The Economic Design of Zero-inflated Poisson Distributed Attributes Control Charts." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/34043868087528676737.

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碩士<br>雲林科技大學<br>工業工程與管理研究所碩士班<br>97<br>The process capability increase rapidly in recent year, and it is rare to find a defect in samples. When a large number of non-defect samples appear, Poisson distribution will underestimate the dispersion of defects and this will cause the control limit to be narrower. Therefore, some alternatives have been developed to alleviate this problem, one of which is the control chart based on the zero-inflated Poisson distribution. This study develop an economic design of zero-inflated Poisson distributed attributes control chart and using Genetic Algorithm in s

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Wang, Ying-Jhih, and 王英至. "Modeling Spatial Risk Variation of Aftershocks Using Zero-Inflated Poisson Model." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/zbnnvs.

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碩士<br>國立彰化師範大學<br>統計資訊研究所<br>106<br>Modeling spatial risk variation of the interested event is an active research topic in spatial statistics. For count data, when response variables are collected with the excessive zero values, the traditional Poisson regression model may be not suitable for analyzing this type of data. To overcome this issue, we use the zero-inflated Poisson model combined with the spatial hierarchical Bayesian model to assess the spatial risk variation of the interested event, where the spatial correlations of the data set are modeled by the conditional autoregressive model

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Ghanney, Bartholomew Embir. "Estimation of zero-inflated count time series models with and without covariates." 2015. http://hdl.handle.net/1993/30920.

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Zero inflation occurs when the proportion of zeros of a model is greater than the proportion of zeros of the corresponding Poisson model. This situation is very common in count data. In order to model zero inflated count time series data, we propose the zero inflated autoregressive conditional Poisson (ZIACP) model by the extending the autoregressive conditional poisson (ACP) model of Ghahramani and Thavaneswaran (2009). The stationarity conditions and the autocorrelation functions of the ZIACP model are provided. Based on the expectation maximization (EM) algorithm an estimation method is dev

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Suharto, Rizki Aviandri, and Rizki Aviandri Suharto. "A Double Sampling Plan for the Zero-Inflated Poisson Distribution in the Food Industry." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/93k37m.

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碩士<br>國立臺灣科技大學<br>工業管理系<br>105<br>Implementing appropriate sampling plan is an important task to protect consumers from pathogenic microorganisms in the food industry. In this study, we develop a double sampling plan (DSP) for the zero-inflated Poisson distribution as an alternative sampling plan. This research provides R-code to determine the plan parameters such as the number of sample size, the acceptance number, and the rejection number on the first stage (n_1, c_1, and r_1), and the number of the sample size and the acceptance number on the second stage (n_2 and c_2). The DSP performs bet

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Mamun, Md Abdullah Al. "Zero-inflated regression models for count data : an application to under-5 deaths." 2014. http://liblink.bsu.edu/uhtbin/catkey/1747408.

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Zero-inflated (ZI) count data models overcome the restriction of equality relationship between mean and variance, but functional relationship still exists. For ZI models it is important to know whether the proportion of zeros and the rate of counts have any influence on the fit of the model. In this study we have considered three zero-inflated models, namely, ZIP, ZINB, and Hurdle model. We also considered Poisson and negative binomial model as classical count data models. Our simulation experiment suggests that the proportion of zeros for given rate parameter does not a↵ect the fit of the mod

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Jiang, Wun-Kai, and 江文楷. "A Simulation study of Poisson and Distributed Lag Models Under the structure of Zero-inflated outcomes." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/24980363292557310103.

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碩士<br>國立陽明大學<br>公共衛生研究所<br>104<br>For the count data, a popular method in medicine, public health and epidemiology research is the Poisson Regression Model estimating the relative risk (RR); Polynomial Distributed Lag Model (PDLM) is also a popular strategy in environmental epidemiology research to examine how the delayed environmental factors influence infectious disease. This model assumes that the dependent variable (Yt) is not only effected by the current independent variable (Xt), but also the lagged predictors (Xt-1, Xt-2 ...); Recently Distributed Lag Non-linear Model (DLNM) has been wi

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"Imprecise Prior for Imprecise Inference on Poisson Sampling Model." Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-04-1495.

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Prevalence is a valuable epidemiological measure about the burden of disease in a community for planning health services; however, true prevalence is typically underestimated and there exists no reliable method of confirming the estimate of this prevalence in question. This thesis studies imprecise priors for the development of a statistical reasoning framework regarding this epidemiological decision making problem. The concept of imprecise probabilities introduced by Walley (1991) is adopted for the construction of this inferential framework in order to model prior ignorance and quantify the

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Rodrigues-Motta, Mariana. "Zero-inflated poisson models for quantitative genetic analysis of count data with applications to mastitis in dairy cows." 2006. http://www.library.wisc.edu/databases/connect/dissertations.html.

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Matula, Dominik. "Modely pro data s nadbytečnými nulami." Master's thesis, 2016. http://www.nusl.cz/ntk/nusl-352690.

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The aim of this thesis is to provide a comprehensive overview of the main approaches to modeling data loaded with redundant zeros. There are three main subclasses of zero modified models (ZMM) described here - zero inflated models (the main focus lies on models of this subclass), zero truncated models and hurdle models. Models of each subclass are defined and then a construction of maximum likelihood estimates of regression coefficients is described. ZMM models are mostly based on Poisson or negative binomial type 2 distribution (NB2). In this work, author has extended the theory to ZIM models

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Clarke, Suzanne Kathleen. "Should large urban centres decide how best to use health care services?" 2014. http://hdl.handle.net/10222/49091.

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We assessed how estimates of need-expected inpatient hospital use differ depending on whether need-expected use was estimated for a population of all Canadians, Canadian health regions, or a subpopulation of higher income Canadians, who likely had minimal healthcare access problems. Data came from the 2009/2010 Canadian Community Health Survey, a national cross-sectional survey. Using zero-inflated negative binomial regression, we modeled inpatient hospital use separately based on the three aforementioned choices of population. We adjusted for demographic, health behaviour, health status, soci

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Saab, Rabih. "Nonparametric estimation of the mixing distribution in mixed models with random intercepts and slopes." Thesis, 2013. http://hdl.handle.net/1828/4548.

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Generalized linear mixture models (GLMM) are widely used in statistical applications to model count and binary data. We consider the problem of nonparametric likelihood estimation of mixing distributions in GLMM's with multiple random effects. The log-likelihood to be maximized has the general form l(G)=Σi log∫f(yi,γ) dG(γ) where f(.,γ) is a parametric family of component densities, yi is the ith observed response dependent variable, and G is a mixing distribution function of the random effects vector γ defined on Ω. The literature presents many algorithms for maximum likelihood esti

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Rivest, Amélie. "La régression de Poisson multiniveau généralisée au sein d’un devis longitudinal : un exemple de modélisation du nombre d’arrestations de membres de gangs de rue à Montréal entre 2005 et 2007." Thèse, 2012. http://hdl.handle.net/1866/9924.

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Les données comptées (count data) possèdent des distributions ayant des caractéristiques particulières comme la non-normalité, l’hétérogénéité des variances ainsi qu’un nombre important de zéros. Il est donc nécessaire d’utiliser les modèles appropriés afin d’obtenir des résultats non biaisés. Ce mémoire compare quatre modèles d’analyse pouvant être utilisés pour les données comptées : le modèle de Poisson, le modèle binomial négatif, le modèle de Poisson avec inflation du zéro et le modèle binomial négatif avec inflation du zéro. À des fins de comparaisons, la prédiction de la proportion du z

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