Littérature scientifique sur le sujet « Regression of Proportion »
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Articles de revues sur le sujet "Regression of Proportion"
Wang, Jin, Aizhi Sun, Qian Gao, Fuqiang Zhai, Shen Wu et Alex A. Volinsky. « Slag material's proportion optimised by polynomial regression ». Proceedings of the Institution of Civil Engineers - Construction Materials 167, no 1 (février 2014) : 8–13. http://dx.doi.org/10.1680/coma.12.00003.
Texte intégralMilicevic, Mario, Vedran Batos, Adriana Lipovac et Zeljka Car. « Deep Regression Neural Networks for Proportion Judgment ». Future Internet 14, no 4 (23 mars 2022) : 100. http://dx.doi.org/10.3390/fi14040100.
Texte intégralHan, Bing, et Nelson Lim. « Estimating conditional proportion curves by regression residuals ». Statistics in Medicine 29, no 13 (23 mars 2010) : 1443–54. http://dx.doi.org/10.1002/sim.3889.
Texte intégralLee, Dong-Hee. « Regression Models for Bivariate Semi-continuous Proportion Data ». Korean Data Analysis Society 19, no 2 (30 avril 2017) : 663–73. http://dx.doi.org/10.37727/jkdas.2017.19.2.663.
Texte intégralNaik, V. D., et P. C. Gupta. « On regression method for estimating a population proportion ». Statistical Papers 37, no 1 (mars 1996) : 85–92. http://dx.doi.org/10.1007/bf02926162.
Texte intégralGalvis, Diana M., Dipankar Bandyopadhyay et Victor H. Lachos. « Augmented mixed beta regression models for periodontal proportion data ». Statistics in Medicine 33, no 21 (24 avril 2014) : 3759–71. http://dx.doi.org/10.1002/sim.6179.
Texte intégralShim, Jooyong, et Changha Hwang. « Geographically weighted kernel logistic regression for small area proportion estimation ». Journal of the Korean Data and Information Science Society 27, no 2 (31 mars 2016) : 531–38. http://dx.doi.org/10.7465/jkdi.2016.27.2.531.
Texte intégralZhang, L., B. Wu, B. Huang et P. Li. « Nonlinear estimation of subpixel proportion via kernel least square regression ». International Journal of Remote Sensing 28, no 18 (23 août 2007) : 4157–72. http://dx.doi.org/10.1080/01431160600993454.
Texte intégralMartínez, Sergio, Maria Rueda, Antonio Arcos et Helena Martínez. « Estimating the Proportion of a Categorical Variable With Probit Regression ». Sociological Methods & ; Research 49, no 3 (8 mars 2018) : 809–34. http://dx.doi.org/10.1177/0049124118761771.
Texte intégralParker, Anthony J., Dipankar Bandyopadhyay et Elizabeth H. Slate. « A spatial augmented beta regression model for periodontal proportion data ». Statistical Modelling : An International Journal 14, no 6 (25 septembre 2014) : 503–21. http://dx.doi.org/10.1177/1471082x14535515.
Texte intégralThèses sur le sujet "Regression of Proportion"
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/.
Texte intégralMany studies consider the analysis of variables restricted to the interval (0, 1), as percentages and proportions. The most recommended models are based upon the beta and simplex distributions. In this work, we present the beta regression model proposed by Ferrari and Cribari-Neto (2004) and develop the simplex regression model. We propose a residual for the simplex regression model, which is very useful for the diagnostic analysis, based upon the work of Espinheira et al. (2008). We generalize some diagnostic techniques that can be applied to both models. We evaluate the beta and simplex models by two applications to real data, using those techniques.
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.
Texte intégralCribari-Neto, Francisco, et 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.
Texte intégralSeries: Research Report Series / Department of Statistics and Mathematics
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.
Texte intégralMade 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
Existem diferentes modelos de regressão que podem ser usados para modelar taxas, proporções e outras variáveis respostas que assumem valores no intervalo unitário padrão, (0,1). Quando só uma classe de modelos de regressão é considerada, a seleção do modelos pode ser baseada nos testes de hipóteses usuais. O objetivo da presente dissertação é apresentar e avaliar numericamente os desempenhos em amostras imitas de testes que podem ser usados quando há dois ou mais modelos que são plausíveis, são não-encaixados e pertencem a classes de modelos de regressão distintas. Os modelos competidores podem diferir nos regressores que utilizam, nas funções de ligação e/ou na distribuição assumida para a variável resposta. Através de simulações de Monte Cario nós estimamos as taxas de rejeição nulas e não-nulas dos testes sob diversos cenários. Avaliamos também o desempenho de um procedimento de seleção de modelos. Os resultados mostram que os testes podem ser bastante úteis na escolha do melhor modelo de regressão quando a variável resposta assume valores no intervalo unitário padrão.
There are several different regression models that can be used with rates, proportions and other continuous responses that assume values in the standard unit interval, (0,1). When only one class of models is considered, model selection can be based on standard hypothesis testing inference. In this dissertation, we develop tests that can be used when the practitioner has at his/her disposal more than one plausible model, the competing models are nonnested and possibly belong to different classes of models. The competing models can differ in the regressors they use, in the link functions and even in the response distribution. The finite sample performances of the proposed tests are numerically eval-uated. We evaluate both the null and nonnull behavior of the tests using Monte Cario simulations. The results show that the tests can be quite useful for selecting the best regression model when the response assumes values in the standard unit interval.
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/.
Texte intégralCrumer, Angela Maria. « Comparison between Weibull and Cox proportional hazards models ». Kansas State University, 2011. http://hdl.handle.net/2097/8787.
Texte intégralDepartment of Statistics
James J. Higgins
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 proportional hazards model. This model also allows for the inclusion of covariates of survival times but with less restrictive assumptions. This report compares estimates of the slope of the covariate in the proportional hazards model using the parametric Weibull model and the semi-parametric Cox proportional hazards model to estimate the slope. Properties of these models are discussed in Chapter 1. Numerical examples and a comparison of the mean square errors of the estimates of the slope of the covariate for various sample sizes and for uncensored and censored data are discussed in Chapter 2. When the shape parameter is known, the Weibull model far out performs the Cox proportional hazards model, but when the shape parameter is unknown, the Cox proportional hazards model and the Weibull model give comparable results.
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.
Texte intégralSeries: Research Report Series / Department of Statistics and Mathematics
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.
Texte intégralTese (doutorado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica
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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 interesse. Nesses casos, os modelos que analisam o efeito de covariáveis, tais como a regressão beta, beta retangular e simplex não são convenientes. Com o intuito de abordar este tipo de situações, considera-se como alternativa aumentar os valores zero e/ou um ao suporte das distribuições previamente mencionadas. Nesta tese, são propostos modelos de regressão de efeitos mistos para dados de proporções aumentados de zeros e uns, os quais permitem analisar o efeito de covariáveis sobre a probabilidade de observar ausência ou presença total da característica de interesse, assim como avaliar modelos com respostas correlacionadas. A estimação dos parâmetros de interesse pode ser via máxima verossimilhança ou métodos Monte Carlo via Cadeias de Markov (MCMC). Nesta tese, será adotado o enfoque Bayesiano, o qual apresenta algumas vantagens em relação à inferência clássica, pois não depende da teoria assintótica e os códigos são de fácil implementação, através de softwares como openBUGS e winBUGS. Baseados na distribuição marginal, é possível calcular critérios de seleção de modelos e medidas Bayesianas de divergência q, utilizadas para detectar observações discrepantes
Abstract: Continuous data in the unit interval (0,1) represent, generally, proportions, rates or indices. However, zeros and/or ones values can be observed, representing absence or total presence of a carachteristic of interest. In that case, regression models that analyze the effect of covariates such as beta, beta rectangular or simplex are not appropiate. In order to deal with this type of situations, an alternative is to add the zero and/or one values to the support of these models. In this thesis and based on these models, we propose the mixed regression models for proportional data augmented by zero and one, which allow analyze the effect of covariates into the probabilities of observing absence or total presence of the interest characteristic, besides of being possivel to deal with correlated responses. Estimation of parameters can follow via maximum likelihood or through MCMC algorithms. We follow the Bayesian approach, which presents some advantages when it is compared with classical inference because it allows to estimate the parameters even in small size sample. In addition, in this approach, the implementation is straightforward and can be done using software as openBUGS or winBUGS. Based on the marginal likelihood it is possible to calculate selection model criteria as well as q-divergence measures used to detect outlier observations
Doutorado
Estatistica
Doutora em Estatística
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.
Texte intégralPereira, 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/.
Texte intégralThe beta regression model or the inflated beta regression model may be a reasonable choice to fit a proportion in most situations. However, they do not fit well variables that do not assume values in the open interval (0,c), 0 < c < 1 and assume the c value with positive probability. Variables related to a kind of double bounded payment amount when studied as a proportion of the maximum payment amount have this feature. For these variables, we introduce the truncated inflated beta distribution (TBEINF). This proposed distribution is a mixture of the beta distribution bounded in the open interval (c,1) and a trinomial distribution that assumes the values zero, one and c. This work also proposes a regression model where the response variable is TBEINF distributed. The model allows all the unknown parameters of the conditional distribution of the response variable to be modeled as functions of explanatory variables. Moreover, the model allows nonconstant known parameter c across population units. For this model, some inferential aspects are developed, some results when c is not constant are obtained and Monte Carlo simulation studies are performed. In addition, residual and local influence analysis are discussed and an application to credit card data is presented.
Livres sur le sujet "Regression of Proportion"
O'Quigley, John. Proportional Hazards Regression. New York, NY : Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-68639-4.
Texte intégralTapia-Aguilar, Alberto. Accurate confidence intervals for regression parameters in proportional hazards model. Toronto : [s.n.], 1994.
Trouver le texte intégralSpray, Judith A. Comparison of loglinear and logistic regression models for detecting changes in proportions. Iowa City : American College Testing Program, 1988.
Trouver le texte intégralLeBlanc, Michael R. Step-function covariate effects in the proportional hazards model. Toronto, Ont : University of Toronto, Department of Statistics, 1993.
Trouver le texte intégralO'Quigley, John. Proportional Hazards Regression. Springer New York, 2010.
Trouver le texte intégralO'Quigley, John. Survival Analysis : Proportional and Non-Proportional Hazards Regression. Springer International Publishing AG, 2022.
Trouver le texte intégralO'Quigley, John. Survival Analysis : Proportional and Non-Proportional Hazards Regression. Springer, 2021.
Trouver le texte intégralProportional Hazards Regression (Statistics for Biology and Health). Springer, 2008.
Trouver le texte intégralO'Quigley, John. Proportional Hazards Regression (Statistics for Biology and Health). Springer, 2008.
Trouver le texte intégralPersson, Inger. Essays on the Assumption of Proportional Hazards in Cox Regression. Uppsala Universitet, 2002.
Trouver le texte intégralChapitres de livres sur le sujet "Regression of Proportion"
García Portilla, Jason. « Component 1 (Macro) : Quantitative (Regression) Analysis ». Dans “Ye Shall Know Them by Their Fruits”, 211–31. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78498-0_15.
Texte intégralGuo, Jiaxu, Shaowei Hu, Xuan Zhao, Xiu Tao et Ying Nie. « Compressive Strength Performance of Additives for Cement-Based Grouting Material with Low Water-Binder Ratio by Response Surface Methodology ». Dans Lecture Notes in Civil Engineering, 368–79. Singapore : Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_34.
Texte intégralHarrell, Frank E. « Cox Proportional Hazards Regression Model ». Dans Regression Modeling Strategies, 475–519. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19425-7_20.
Texte intégralHarrell, Frank E. « Cox Proportional Hazards Regression Model ». Dans Regression Modeling Strategies, 465–507. New York, NY : Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3462-1_19.
Texte intégralWang, Wei, et Chengcheng Hu. « Proportional Hazards Regression Models ». Dans Springer Handbook of Engineering Statistics, 387–96. London : Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-288-1_21.
Texte intégralMatthews, David Edward, et Vernon Todd Farewell. « 13 Proportional Hazards Regression ». Dans Using and Understanding Medical Statistics, 149–59. Basel : KARGER, 2007. http://dx.doi.org/10.1159/000099428.
Texte intégralRiyanti, Novi Dwi, Werner R. Murhadi et Mudji Utami. « The Influence of Good Corporate Governance through the Gender Diversity on Firm Performance ». Dans Proceedings of the 19th International Symposium on Management (INSYMA 2022), 5–12. Dordrecht : Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_2.
Texte intégralBroström, Göran. « Proportional Hazards and Cox Regression ». Dans Event History Analysis with R, 43–64. 2e éd. Boca Raton : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429503764-3.
Texte intégralZang, Wanjun, et Jiang Wen. « Analysis of Slurry Ratio of Rotary Digging Pile in Deep Sand Layer ». Dans Lecture Notes in Civil Engineering, 137–49. Singapore : Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1748-8_11.
Texte intégralMcNulty, Keith. « Proportional Odds Logistic Regression for Ordered Category Outcomes ». Dans Handbook of Regression Modeling in People Analytics, 143–62. Boca Raton : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003194156-7.
Texte intégralActes de conférences sur le sujet "Regression of Proportion"
Center, Julian L., Kevin H. Knuth, Ariel Caticha, Julian L. Center, Adom Giffin et Carlos C. Rodríguez. « Regression for Proportion Data ». Dans BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2007. http://dx.doi.org/10.1063/1.2821266.
Texte intégralZhang, Bin, et Shoucheng Yuan. « Analysis of Affecting Factors of Proportion of Tertiary Industry Based on Ridge Regression ». Dans 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018). Paris, France : Atlantis Press, 2018. http://dx.doi.org/10.2991/icmess-18.2018.66.
Texte intégralOjha, Varun Kumar, Paramartha Dutta, Hiranmay Saha et Sugato Ghosh. « Linear regression based statistical approach for detecting proportion of component gases in manhole gas mixture ». Dans 2012 1st International Symposium on Physics and Technology of Sensors (ISPTS). IEEE, 2012. http://dx.doi.org/10.1109/ispts.2012.6260865.
Texte intégralTengiz, Yusuf Ziya, et Zehra Meliha Tengiz. « A Study on Beef Price in Turkey ». Dans International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02213.
Texte intégralSuhendra, Euphrasia Susy, et Dini Tri Wardani. « The Influence of Corporate Governance Mechanism to Earnings Management on Indonesia and China Industrial Banking ». Dans International Conference on Eurasian Economies. Eurasian Economists Association, 2013. http://dx.doi.org/10.36880/c04.00597.
Texte intégralPlume, Lauris, et Imants Plume. « Analysis of factors influencing energy efficiency of biogas plants ». Dans 22nd International Scientific Conference Engineering for Rural Development. Latvia University of Life Sciences and Technologies, Faculty of Engineering, 2023. http://dx.doi.org/10.22616/erdev.2023.22.tf150.
Texte intégralOkewole, Dorcas Modupe, et Olusanya Elisa Olubusoye. « Assessment Question Type in a Statistics Course for Non Majors : Analysis of Students’ Preference ». Dans IASE 2021 Satellite Conference : Statistics Education in the Era of Data Science. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.yqqbv.
Texte intégralTorres, Kevin Michael, Noura Al Madani et Rodrigo Rafael Gutierrez. « Significance in the Integration of Facies Analysis, Stable Isotopes and Diagenetical Results for the High-Resolution Sequence Stratigraphy Characterization in the Shallow Platform of Shuaiba Formation, Lower Cretaceous, Abu Dhabi Onshore, UAE ». Dans Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207828-ms.
Texte intégralDousseau, Gabriella Corrêa, Heitor Nunes de Oliveira Sento-Sé Neto, Luisa Pacheco Avezum, Mariana Floriano Luiza Piva, Isabel de Oliveira Santos, José Lopes de Vasconcelos Júnior, Henrique Alves Bezerra et Maria Sheila Guimarães Rocha. « Elderly’s thrombolysis in the real-world setting : a cohort study ». Dans XIV Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2023. http://dx.doi.org/10.5327/1516-3180.141s1.432.
Texte intégralGutium, Mircea. « Evolution of Consumption Expenditures of Population of the Republic of Moldova ». Dans International Conference Innovative Business Management & Global Entrepreneurship. LUMEN Publishing, 2020. http://dx.doi.org/10.18662/lumproc/ibmage2020/23.
Texte intégralRapports d'organisations sur le sujet "Regression of Proportion"
Koenker, Roger, et Naveen Narisetty. Censored quantile regression survival models with a cure proportion. The IFS, octobre 2019. http://dx.doi.org/10.1920/wp.cem.2019.5619.
Texte intégralPuttanapong, Nattapong, Arturo M. Martinez Jr, Mildred Addawe, Joseph Bulan, Ron Lester Durante et Marymell Martillan. Predicting Poverty Using Geospatial Data in Thailand. Asian Development Bank, décembre 2020. http://dx.doi.org/10.22617/wps200434-2.
Texte intégralTangka, Florence K. L., Sujha Subramanian, Madeleine Jones, Patrick Edwards, Sonja Hoover, Tim Flanigan, Jenya Kaganova et al. Young Breast Cancer Survivors : Employment Experience and Financial Well-Being. RTI Press, juillet 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0041.2007.
Texte intégralShivakumar, Pranavkumar, Kanika Gupta, Antonio Bobet, Boonam Shin et Peter J. Becker. Estimating Strength from Stiffness for Chemically Treated Soils. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317383.
Texte intégralBrosh, Arieh, David Robertshaw, Yoav Aharoni, Zvi Holzer, Mario Gutman et Amichai Arieli. Estimation of Energy Expenditure of Free Living and Growing Domesticated Ruminants by Heart Rate Measurement. United States Department of Agriculture, avril 2002. http://dx.doi.org/10.32747/2002.7580685.bard.
Texte intégralEdeh, Henry C. Assessing the Equity and Redistributive Effects of Taxation Reforms in Nigeria. Institute of Development Studies (IDS), novembre 2021. http://dx.doi.org/10.19088/ictd.2021.020.
Texte intégralBörjesson, Patrik, Maria Eggertsen, Lachlan Fetterplace, Ann-Britt Florin, Ronny Fredriksson, Susanna Fredriksson, Patrik Kraufvelin et al. Long-term effects of no-take zones in Swedish waters. Sous la direction de Ulf Bergström, Charlotte Berkström et Mattias Sköld. Department of Aquatic Resources, Swedish University of Agricultural Sciences, 2023. http://dx.doi.org/10.54612/a.10da2mgf51.
Texte intégralGoetsch, Arthur L., Yoav Aharoni, Arieh Brosh, Ryszard (Richard) Puchala, Terry A. Gipson, Zalman Henkin, Eugene D. Ungar et Amit Dolev. Energy Expenditure for Activity in Free Ranging Ruminants : A Nutritional Frontier. United States Department of Agriculture, juin 2009. http://dx.doi.org/10.32747/2009.7696529.bard.
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