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1

Miyashiro, Eliane Shizue. "Modelos de regressão beta e simplex para análise de proporções." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-06112009-224039/.

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Diversos estudos compreendem a análise de variáveis definidas no intervalo (0, 1), como porcentagens ou proporções. Os modelos mais adequados são os de regressão baseados nas distribuições beta e simplex. Neste trabalho, apresentamos o modelo de regressão beta proposto por Ferrari & Cribari-Neto (2004) e desenvolvemos o modelo de regressão simplex. Definimos um resíduo para o modelo de regressão simplex, muito útil na análise de diagnóstico, a partir do trabalho de Espinheira, Ferrari & Cribari-Neto (2008). Apresentamos uma forma geral para algumas medidas de diagnóstico, que podem ser aplicad
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Forslind, Fanni. "The Effect of Immigration on Income Distribution : A Comparative Study of Ordinary Least Squares and Beta Regression." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-433098.

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The purpose of this study is to estimate the relationship between income inequality and immigration in Sweden. To do so, data from the data base Kolada with observations from all 290 municipalities in Sweden is used. As a proxy for income distribution the Gini coefficient is used and as a proxy for immigration the share of foreign born of working age is used. The model also controls for income tax, education level and unemployment level. The dependent variable the Gini coefficient is bounded by a unit interval and it is therefore not possible to simply run a linear regression. Such a model cou
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Cribari-Neto, Francisco, and Achim Zeileis. "Beta Regression in R." Department of Statistics and Mathematics x, WU Vienna University of Economics and Business, 2009. http://epub.wu.ac.at/726/1/document.pdf.

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The class of beta regression models is commonly used by practitioners to model variables that assume values in the standard unit interval (0, 1). It is based on the assumption that the dependent variable is beta-distributed and that its mean is related to a set of regressors through a linear predictor with unknown coefficients and a link function. The model also includes a precision parameter which may be constant or depend on a (potentially different) set of regressors through a link function as well. This approach naturally incorporates features such as heteroskedasticity or skewness which a
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LEAL, ALTURO Olivia Lizeth. "Nonnested hypothesis testing inference in regression models for rates and proportions." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/24573.

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Submitted by Alice Araujo (alice.caraujo@ufpe.br) on 2018-05-07T21:17:28Z No. of bitstreams: 1 DISSERTAÇÃO Olivia Lizeth Leal Alturo.pdf: 2450256 bytes, checksum: 8d29b676eaffcb3c5bc1b78a8611b9f8 (MD5)<br>Made available in DSpace on 2018-05-07T21:17:28Z (GMT). No. of bitstreams: 1 DISSERTAÇÃO Olivia Lizeth Leal Alturo.pdf: 2450256 bytes, checksum: 8d29b676eaffcb3c5bc1b78a8611b9f8 (MD5) Previous issue date: 2017-02-16<br>Existem diferentes modelos de regressão que podem ser usados para modelar taxas, proporções e outras variáveis respostas que assumem valores no intervalo unitário padrão, (0,
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Persson, Inger. "Essays on the Assumption of Proportional Hazards in Cox Regression." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2002. http://publications.uu.se/theses/91-554-5208-6/.

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6

Crumer, Angela Maria. "Comparison between Weibull and Cox proportional hazards models." Kansas State University, 2011. http://hdl.handle.net/2097/8787.

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Master of Science<br>Department of Statistics<br>James J. Higgins<br>The time for an event to take place in an individual is called a survival time. Examples include the time that an individual survives after being diagnosed with a terminal illness or the time that an electronic component functions before failing. A popular parametric model for this type of data is the Weibull model, which is a flexible model that allows for the inclusion of covariates of the survival times. If distributional assumptions are not met or cannot be verified, researchers may turn to the semi-parametric Cox propor
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Maier, Marco J. "DirichletReg: Dirichlet Regression for Compositional Data in R." WU Vienna University of Economics and Business, 2014. http://epub.wu.ac.at/4077/1/Report125.pdf.

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Dirichlet regression models can be used to analyze a set of variables lying in a bounded interval that sum up to a constant (e.g., proportions, rates, compositions, etc.) exhibiting skewness and heteroscedasticity, without having to transform the data. There are two parametrization for the presented model, one using the common Dirichlet distribution's alpha parameters, and a reparametrization of the alpha's to set up a mean-and-dispersion-like model. By applying appropriate link-functions, a GLM-like framework is set up that allows for the analysis of such data in a straightforward and
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Pereira, Gustavo Henrique de Araujo. "Modelos de regressão beta inflacionados truncados." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14082012-123751/.

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Os modelos de regressão beta e beta inflacionados conseguem ajustar adequadamente grande parte das variáveis do tipo proporção. No entanto, esses modelos não são úteis quando a variável resposta não pode assumir valores no intervalo (0,c) e assume o valor c com probabilidade positiva. Variáveis relacionadas a algum tipo de pagamento limitado entre dois valores, quando estudadas em relação ao seu valor máximo, possuem essas características. Para ajustar essas variáveis, introduzimos a distribuição beta inflacionada truncada (BIZUT), que é uma mistura de uma distribuição beta com suporte no inte
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Galvis, Soto Diana Milena 1978. "Bayesian analysis of regression models for proportional data in the presence of zeros and ones = Análise bayesiana de modelos de regressão para dados de proporções na presença de zeros e uns." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306682.

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Orientador: Víctor Hugo Lachos Dávila<br>Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T02:34:17Z (GMT). No. of bitstreams: 1 GalvisSoto_DianaMilena_D.pdf: 1208980 bytes, checksum: edbc193912a2a800da4936526ed79fa3 (MD5) Previous issue date: 2014<br>Resumo: Dados no intervalo (0,1) geralmente representam proporções, taxas ou índices. Porém, é possível observar situações práticas onde as proporções sejam zero e/ou um, representando ausência ou presença total da característica de intere
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Johnson, Edward P. "Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2121.pdf.

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11

Sasieni, Peter D. "Beyond the Cox model : extensions of the model and alternative estimators /." Thesis, Connect to this title online; UW restricted, 1989. http://hdl.handle.net/1773/9556.

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Cai, Jianwen. "Generalized estimating equations for censored multivariate failure time data /." Thesis, Connect to this title online; UW restricted, 1992. http://hdl.handle.net/1773/9581.

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Li, Qiuju. "Statistical inference for joint modelling of longitudinal and survival data." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html.

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In longitudinal studies, data collected within a subject or cluster are somewhat correlated by their very nature and special cares are needed to account for such correlation in the analysis of data. Under the framework of longitudinal studies, three topics are being discussed in this thesis. In chapter 2, the joint modelling of multivariate longitudinal process consisting of different types of outcomes are discussed. In the large cohort study of UK north Stafforshire osteoarthritis project, longitudinal trivariate outcomes of continuous, binary and ordinary data are observed at baseline, year
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Zerbinatti, Luiz Fernando Molinari. "Predição de fator de simultaneidade através de modelos de regressão para proporções contínuas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-05042008-103844/.

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O fator de simultaneidade é fundamental no planejamento de redes de distribuição de gás natural. Trata-se de um multiplicador entre 0 e 1 que ajusta o consumo total teórico de um número de aparelhos de utilização em condições reais. Em 2005 o Instituto de Pesquisas Tecnológicas (IPT) e a Companhia de Gás de São Paulo (COMGÁS) realizaram um estudo no qual determinou-se o fator de simultaneidade em um conjunto de edificações residenciais. Um modelo de regressão foi proposto para expressar o fator de simultaneidade em termos da potência total instalada. O modelo ajustado pode ser utilizado para p
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Carstens, Wiehahn Alwyn. "Regression analysis of caterpillar 793D haul truck engine failure data and through-life diagnostic information using the proportional hazards model." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20333.

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Thesis (MScEng)--Stellenbosch University, 2012.<br>ENGLISH ABSTRACT: Physical Asset Management (PAM) is becoming a greater concern for companies in industry today. The widely accepted British Standards Institutes’ specification for optimized management of physical assets and infrastructure is PAS55. According to PAS55, PAM is the “systematic and co-ordinated activities and practices through which an organization optimally manages its physical assets, and their associated performance, risks and expenditures over their life cycle for the purpose of achieving its organizational strategic p
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Morgan, Jerry R. "A study of promotion and attrition of mid-grade officers in the U.S. Marine Corps : are assignments a key factor? /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Mar%5FMorgan%5FJerry.pdf.

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Tian, Shaonan. "Essays on Corporate Default Prediction." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1352403546.

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Hughes, James A. "Person, environment, and health and illness factors influencing time to first analgesia and patient experience of pain management in the adult emergency department." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123311/3/James_Hughes_Thesis.pdf.

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This thesis explored patient, clinician, environmental and illness factors that influence how doctors and nurses treat patients who present to the emergency department in pain. The findings confirm that patients are more likely to receive analgesic medication in a shorter time and have a more positive experience with pain care when the emergency department is less busy, they have less pre-existing illness, and have a higher socioeconomic status. The identification of these factors has important implications for making changes to the way emergency departments and emergency clinicians treat pain
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Pinheiro, Eliane Cantinho. "Ajustes para o teste da razão de verossimilhanças em modelos de regressão beta." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-09072009-144049/.

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O presente trabalho considera o problema de fazer inferência com acurácia para pequenas amostras, tomando por base a estatística da razão de verossimilhanças em modelos de regressão beta. Estes, por sua vez, são úteis para modelar proporções contínuas que são afetadas por variáveis independentes. Deduzem-se as estatísticas da razão de verossimilhanças ajustadas de Skovgaard (Scandinavian Journal of Statistics 28 (2001) 3-32) nesta classe de modelos. Os termos do ajuste, que têm uma forma simples e compacta, podem ser implementados em um software estatístico. São feitas simulações de Monte Carl
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Salama, Dina. "Predicting Disease Course in Inflammatory Bowel Disease using Health Administrative Data." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/41978.

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Background: Investigators are often interested in using population-level health administrative data in inflammatory bowel disease (IBD) patients to study disease outcomes, risk factors and treatment effects to enhance knowledge, shape clinical practice and influence health care policy. A major limitation of using health administrative data for these purposes is the lack of detailed clinical data to adjust for the confounding effects of differential disease severity on observed associations. Methods to account for disease severity using administrative variables would offer a major advance to po
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Calsavara, Vinícius Fernando. "Estimação de efeitos variantes no tempo em modelos tipo Cox via bases de Fourier e ondaletas Haar." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-26082015-140547/.

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O modelo semiparamétrico de Cox é frequentemente utilizado na modelagem de dados de sobrevivência, pois é um modelo muito flexível e permite avaliar o efeito das covariáveis sobre a taxa de falha. Uma das principais vantagens é a fácil interpretação, de modo que a razão de riscos de dois indivíduos não varia ao longo do tempo. No entanto, em algumas situações a proporcionalidade dos riscos para uma dada covariável pode não ser válida e, este caso, uma abordagem que não dependa de tal suposição é necessária. Nesta tese, propomos um modelo tipo Cox em que o efeito da covariável e a função de ris
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Capuano, Ana W. "Constrained ordinal models with application in occupational and environmental health." Diss., University of Iowa, 2012. https://ir.uiowa.edu/etd/2450.

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Occupational and environmental epidemiological studies often involve ordinal data, including antibody titer data, indicators of health perceptions, and certain psychometrics. Ideally, such data should be analyzed using approaches that exploit the ordinal nature of the scale, while making a minimum of assumptions. In this work, we first review and illustrate the analytical technique of ordinal logistic regression called the "proportional odds model". This model, which is based on a constrained ordinal model, is considered the most popu
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Silva, Ana Roberta dos Santos 1989. "Modelos de regressão beta retangular heteroscedásticos aumentados em zeros e uns." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306787.

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Orientador: Caio Lucidius Naberezny Azevedo<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T19:30:15Z (GMT). No. of bitstreams: 1 Silva_AnaRobertadosSantos_M.pdf: 4052475 bytes, checksum: 08fb6f3f7b4ed838df4eea2dbcf06a29 (MD5) Previous issue date: 2015<br>Resumo: Neste trabalho desenvolvemos a distribuição beta retangular aumentada em zero e um, bem como um correspondente modelo de regressão beta retangular aumentado em zero e um para analisar dados limitados-aumentados (repre
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Lara, Evandro de Avila e. "Regressão logística politômica ordinal: Avaliação do potencial de Clonostachys rosea no biocontrole de Botrytis cinerea." Universidade Federal de Viçosa, 2012. http://locus.ufv.br/handle/123456789/4060.

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Made available in DSpace on 2015-03-26T13:32:17Z (GMT). No. of bitstreams: 1 texto completo.pdf: 764829 bytes, checksum: 8dbd03463c4800428f75900ca1340eb0 (MD5) Previous issue date: 2012-07-23<br>The use of logistic regression modeling as a tool for modeling statistical probability of an event as a function of one or more independents variables, has grown among researchers in several areas, including Phytopathology. At about the dichotomous logistic regression in which the dependent variable is the type binary or dummy, is the extensive number of studies in the literature that discuss the mod
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Lee, Kyeong Eun. "Bayesian models for DNA microarray data analysis." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/2465.

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Selection of signi?cant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of variables (genes), the selection process can be unstable. This research proposes a hierarchical Bayesian model for gene (variable) selection. We employ latent variables in a regression setting and use a Bayesian mixture prior to perform the variable selection. Due to the binary nature of the data, the posterior distributions of the parameters are not in explicit form, and we need to use a combination of truncated sampling and Markov Chain Monte Carlo (MCMC)
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Correia, Leandro Tavares. "Modelos de regressão estáticos e dinâmicos para taxas ou proporções: uma abordagem bayesiana." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-27082015-224138/.

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Este trabalho apresenta um estudo de dados com resposta em intervalos limitados, mais especificamente no intervalo [0,1], como no caso de taxas e proporções. Em diversos casos práticos esta estrutura de dados apresenta uma quantidade não negligenciável de valores extremos (0 e 1) e que modelos usuais não são adequados para sua análise. Para esta situação propomos, por meio de um enfoque Bayesiano, modelos de regressão beta inflacionado de zeros e uns (BIZU) e modelos de regressão Tobit duplamente censurado adaptados nesse intervalo. Técnicas de diagnóstico e qualidade do ajuste também são disc
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Frazão, Italo Marcus da Mota. "Modelos com sobreviventes de longa duração paramétricos e semi-paramétricos aplicados a um ensaio clínico aleatorizado." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-13032013-093628/.

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Diversos modelos têm sido propostos na literatura com o objetivo de analisar dados de sobrevivência em que a população sob estudo é assumida ser uma mistura de indivíduos suscetíveis (em risco) e não suscetíveis a um específico evento de interesse. Tais modelos são usualmente denominados modelos com sobreviventes de longa duração ou modelos com fração de cura. Neste trabalho, diversos desses modelos (nos contextos paramétrico e semi-paramétrico) foram considerados para analisar os dados de um ensaio clínico aleatorizado conduzido com o objetivo de comparar três estratégias terapêuticas (cirurg
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Danardono. "Multiple Time Scales and Longitudinal Measurements in Event History Analysis." Doctoral thesis, Umeå : Dept. of Statistics, Umeå Univ, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-420.

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Lindberg, Erik. "A study of the effect of inbreeding in Skellefteå during the 19th century : Using Cox Proportional hazard model to analyze lifespans and Poisson/Negative Binomial regression to analyze fertility." Thesis, Umeå universitet, Statistik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-122687.

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Inbreeding is defined as when two individuals who are related mate and produce offspring. The level of inbreeding for an individual can be determined by calculating an inbreeding coefficient. Inbreeding can enhance both positive and negative traits. The risk for recessive diseases also increase. Data from old church records from the region of Skellefteå covering individuals from the late 17th century to the early 20th century has been made available. From this data parent-child relations can be observed and levels of inbreeding calculated. By analyzing the available data using Cox Proportional
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Bäckström, Mattias, and Måns Helldin. "Är äldreomsorgen möjlig att påverka vid valurnan? : En studie om den politiska majoritetens effekt på kostnaden för och kvaliteten inom äldreomsorgen i svenska kommuner." Thesis, Uppsala universitet, Nationalekonomiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435038.

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Ett sedan länge betraktat problem inom politisk ekonomi är om, och i så fall i vilken utsträckning, politiska partier påverkar ekonomiska policyutfall. Syftet med studien är att undersöka om det rådande politiska majoritetsförhållandet i kommunfullmäktige har en effekt på kostnaderna för och kvaliteten inom en verksamhet som kommit att hamna allt högre på den politiska dagordningen under coronapandemin – äldreomsorgen. Studien tar avstamp i teoretiska utgångspunkter i form av medianväljarteoremet och citizen candidate-modellen. I syfte att estimera effekten av den politiska majoriteten på äldr
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Zhao, Feng. "Bootstrap variable selection and model validation for Cox's proportional hazards regression models, with applications to the identification of factors predictive of overall and post-relapse survival in advanced epithelial ovarian cancer." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0026/MQ31275.pdf.

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Thapa, Ram. "Modeling Mortality of Loblolly Pine Plantations." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/46726.

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Accurate prediction of mortality is an important component of forest growth and yield prediction systems, yet mortality remains one of the least understood components of the system. Whole-stand and individual-tree mortality models were developed for loblolly pine plantations throughout its geographic range in the United States. The model for predicting stand mortality were developed using stand characteristics and biophysical variables. The models were constructed using two modeling approaches. In the first approach, mortality functions for directly predicting tree number reduction were develo
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Laubrock, Jochen. "Proportional slowing in old adults is modulated by episodic memory demands : an investigation of age-related slowing using compatible and arbitrary stimulus-response mappings." Phd thesis, Universität Potsdam, 2004. http://opus.kobv.de/ubp/volltexte/2005/187/.

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Das dominante Datenmuster im Bereich des kognitiven Alterns ist der Alters-x-Komplexitätseffekt. Die vorliegende Studie untersucht, ob das Muster statt durch einen üblicherweise postulierten unspezifischen durch einen spezifischen Mechanismus erklärt werden kann: die mit dem Alter abnehmende Reliabilität episodischer Akkumulatoren. In sechs Reaktionszeit-Experimenten wurden junge und ältere Erwachsene verglichen, dabei wurden frühe kognitive (Stroop-Bedingung) und episodische Schwierigkeit (Reiz-Reaktions-Zuordnung) orthogonal manipuliert. Die vorhergesagte Dreifachinteraktion der beiden Fakto
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Sauls, Beverly J. "Relative Survival of Gags Mycteroperca microlepis Released Within a Recreational Hook-and-Line Fishery: Application of the Cox Regression Model to Control for Heterogeneity in a Large-Scale Mark-Recapture Study." Scholar Commons, 2013. http://scholarcommons.usf.edu/etd/4940.

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The objectives of this study were to measure injuries and impairments directly observed from gags Mycteroperca microlepis caught and released within a large-scale recreational fishery, develop methods that may be used to rapidly assess the condition of reef fish discards, and estimate the total portion of discards in the fishery that suffer latent mortality. Fishery observers were placed on for-hire charter and headboat vessels operating in the Gulf of Mexico from June 2009 through December 2012 to directly observe reef fishes as they were caught by recreational anglers fishing with hook-and-l
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Arnold, Nathaniel M. "Targeting the Minority: A New Theory of Diversionary Violence." Wright State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1590166439219292.

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Hoglin, Phillip J. "Survival analysis and accession optimization of prior enlisted United States Marine Corps officers." Thesis, Monterey, California. Naval Postgraduate School, 2004. http://hdl.handle.net/10945/1673.

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Approved for public release, distribution is unlimited<br>The purpose of this thesis is to firstly analyze the determinants on the survival of United States Marine Corps Officers, and secondly, to develop the methodology to optimize the accessions of prior and non-prior enlisted officers. Using data from the Marine Corps Officer Accession Career file (MCCOAC), the Cox Proportional Hazards Model is used to estimate the effects of officer characteristics on their survival as a commissioned officer in the USMC. A Markov model for career transition is combined with fiscal data to determine the opt
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Good, Norman Markus. "Methods for estimating the component biomass of a single tree and a stand of trees using variable probability sampling techniques." Thesis, Queensland University of Technology, 2001. https://eprints.qut.edu.au/37097/1/37097_Good_2001.pdf.

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This thesis developed multistage sampling methods for estimating the aggregate biomass of selected tree components, such as leaves, branches, trunk and total, in woodlands in central and western Queensland. To estimate the component biomass of a single tree randomised branch sampling (RBS) and importance sampling (IS) were trialed. RBS and IS were found to reduce the amount of time and effort to sample tree components in comparison with other standard destructive sampling methods such as ratio sampling, especially when sampling small components such as leaves and small twigs. However, RBS did
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McCosker, Helen Clare. "Prognostic significance of IGF and ECM induced signalling proteins in breast cancer patients." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/53580/1/Helen_McCosker_Thesis.pdf.

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Breast cancer is a leading contributor to the burden of disease in Australia. Fortunately, the recent introduction of diverse therapeutic strategies have improved the survival outcome for many women. Despite this, the clinical management of breast cancer remains problematic as not all approaches are sufficiently sophisticated to take into account the heterogeneity of this disease and are unable to predict disease progression, in particular, metastasis. As such, women with good prognostic outcomes are exposed to the side effects of therapies without added benefit. Furthermore, women with aggres
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Persson, Daniel, and Johannes Ahlström. "Går det att prediktera konkurs i svenska aktiebolag? : En kvantitativ studie om hur finansiella nyckeltal kan användas vid konkursprediktion." Thesis, Linköpings universitet, Företagsekonomi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119867.

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Från 1900-talets början har banker och låneinstitut använt nyckeltal som hjälpmedel vid bedömning och kvantifiering av kreditrisk. För dagens investerare är den ekonomiska miljön mer komplicerad än för bara 40 år sedan då teknologin och datoriseringen öppnade upp världens marknader mot varandra. Bedömning av kreditrisk idag kräver effektiv analys av kvantitativa data och modeller som med god träffsäkerhet kan förutse risker. Under 1900-talets andra hälft skedde en snabb utveckling av de verktyg som används för konkursprediktion, från enkla univariata modeller till komplexa data mining-modeller
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Lenormand, Maxime. "Initialiser et calibrer un modèle de microsimulation dynamique stochastique : application au modèle SimVillages." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00822114.

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Le but de cette thèse est de développer des outils statistiques permettant d'initialiser et de calibrer les modèles de microsimulation dynamique stochastique, en partant de l'exemple du modèle SimVillages (développé dans le cadre du projet Européen PRIMA). Ce modèle couple des dynamiques démographiques et économiques appliquées à une population de municipalités rurales. Chaque individu de la population, représenté explicitement dans un ménage au sein d'une commune, travaille éventuellement dans une autre, et possède sa propre trajectoire de vie. Ainsi, le modèle inclut-il des dynamiques de cho
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Tran, Xuan Quang. "Les modèles de régression dynamique et leurs applications en analyse de survie et fiabilité." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0147/document.

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Cette thèse a été conçu pour explorer les modèles dynamiques de régression, d’évaluer les inférences statistiques pour l’analyse des données de survie et de fiabilité. Ces modèles de régression dynamiques que nous avons considérés, y compris le modèle des hasards proportionnels paramétriques et celui de la vie accélérée avec les variables qui peut-être dépendent du temps. Nous avons discuté des problèmes suivants dans cette thèse.Nous avons présenté tout d’abord une statistique de test du chi-deux généraliséeY2nquiest adaptative pour les données de survie et fiabilité en présence de trois cas,
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Lai, Mei-Yu, and 賴美佑. "Interval Estimation for the Bilateral Conformance Proportion under the Linear Regression Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/82101971601411268778.

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碩士<br>國立臺灣大學<br>農藝學研究所<br>100<br>Conformance proportion is commonly used in agriculture management and product evaluation, industrial product quality control or process improvement, environmental monitoring or assessment, pharmaceutical effectiveness evaluation, etc. The bilateral conformance proportion is defined as the probability of a quality characteristic that falls within a specification interval, which can be denoted by , where Y is the quality characteristic of interest and [A,B] is the specification interval. In this study, we focused on constructing confidence limits for the bilat
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Keithlin, Jessica. "A Systematic Review, Meta-Analysis and Meta-Regression of the Proportion of Campylobacter, Non- typhoidal Salmonella and E. coli O157 Cases that Develop Chronic Sequelae." Thesis, 2012. http://hdl.handle.net/10214/5198.

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Understanding of chronic sequelae development after infection with foodborne pathogens is limited and an increased understanding could assist with the development of more accurate burden of disease estimates. The purpose of this thesis was to determine via systematic review and meta-analysis of the published international literature, the proportion of cases of Salmonella, Campylobacter and E. coli O157 that will develop the chronic sequelae of reactive arthritis, haemolytic uraemic syndrome, irritable bowel syndrome, inflammatory bowel disease or Guillain Barré syndrome. This information can b
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Shieh, Meng-Shiou. "Correction methods, approximate biases, and inference for misclassified data." 2009. https://scholarworks.umass.edu/dissertations/AAI3359160.

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When categorical data are misplaced into the wrong category, we say the data is affected by misclassification. This is common for data collection. It is well-known that naive estimators of category probabilities and coefficients for regression that ignore misclassification can be biased. In this dissertation, we develop methods to provide improved estimators and confidence intervals for a proportion when only a misclassified proxy is observed, and provide improved estimators and confidence intervals for regression coefficients when only misclassified covariates are observed. Following the intr
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Moeller, Megan Michelle. "Methods for analyzing proportions." 2013. http://hdl.handle.net/2152/22553.

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The analysis of proportions is interesting and noteworthy in that there are no commonly accepted regression models for analyzing proportions; indeed, researchers most often use ordinary least squares to estimate the parameters of a linear regression model for proportional data. Such an approach, however, violates several assumptions of the Classical Linear Regression Model. This report outlines the general linear model and the problems associated with using this approach to model proportions and considers a variety of alternate approaches that researchers have taken to model proportions. Th
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Huang, Mei-Chi, and 黃梅綺. "Unilateral Conformance Proportions under Simple Linear Regression Models." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/54579353340199011970.

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碩士<br>國立臺灣大學<br>農藝學研究所<br>104<br>In this study, we investigate the construction of lower confidence limit for unilateral conformance proportions under a simple linear regression model. Let a quality characteristic of interest be denoted by Y, then P(Y≥A) or P(Y≤B) are called the unilateral conformance proportions, where A and B denote the specification acceptance limits. We consider the situation that Y is fitted by the simple linear regression model, and develop an approach for constructing lower confidence limits for the unilateral conformance proportions based on the concept of a generalize
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HSU, CHIA-CHIEN, and 許家蒨. "Generalizing Logistic Regression Models to Two Sample Independent Test for Proportions." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/87800072885197079118.

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碩士<br>國立臺北大學<br>統計學系<br>92<br>Many clinical trials are conducted to develop a new drug or a new treatment comparing to an existing drug or a placebo. Usually, a new drug or a new treatment has to be proved to be more effective than that for the existing drug or placebo before practicing the new treatment or marketing the new drug. Suppose the effectiveness of a new drug is measured as a success (S) or a failure (F). There are many existing tests can be used to examine the effectiveness of the new drug for a binary response variable. For instance, a two independent sample Z test for proportions
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Jeng, Ya-chung, and 鄭雅中. "Regression Estimation for Medical Costs Based on Proportional Means Models." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/81392270563232577835.

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碩士<br>國立臺灣大學<br>流行病學研究所<br>90<br>A cost-effectiveness analysis for a chronic or fatal disease is an important issue to public health. To address such issue, follow-up studies of medical costs on these diseases are often conducted, and the medical costs may be right censored during the follow-up period. Regression analysis is considered to explore the relationship between the medical costs and the covariates of interest. However, the traditional assumption of independency between complete and incomplete data used in the Cox’s regression model cannot be applied to censored medical costs. To hand
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Chen, Yu-Chieh, and 陳禹捷. "Applications of an extended proportional odds model for survival regression." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/98621516341682577035.

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Marques, José Lourenço Pires. "Application of alternative regression models to deal with proportions as dependent variables." Master's thesis, 2010. http://hdl.handle.net/10071/3355.

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The main purpose of this thesis is to consider different approaches to deal with proportions as dependent variables in regression models. The Classical Linear Regression Model (CLRM) is the approach that most researchers apply to their data. However, the CLRM is inappropriate to deal with bounded variables whose response is restricted into the interval (0, 1) as dependent variables since it may possibly yield fitted values for the variable of interest that surpass its lower and upper limits. Due to the CLRM weaknesses, in this thesis we will consider some alternative parametric regression mo
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