Relevant bibliographies by topics / Regression of Proportion

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Regression of Proportion'

Author: Grafiati
Published: 8 September 2023
Last updated: 31 July 2025

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Journal articles on the topic "Regression of Proportion"

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Wang, Jin, Aizhi Sun, Qian Gao, Fuqiang Zhai, Shen Wu, and Alex A. Volinsky. "Slag material's proportion optimised by polynomial regression." Proceedings of the Institution of Civil Engineers - Construction Materials 167, no. 1 (2014): 8–13. http://dx.doi.org/10.1680/coma.12.00003.

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Milicevic, Mario, Vedran Batos, Adriana Lipovac, and Zeljka Car. "Deep Regression Neural Networks for Proportion Judgment." Future Internet 14, no. 4 (2022): 100. http://dx.doi.org/10.3390/fi14040100.

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Deep regression models are widely employed to solve computer vision tasks, such as human age or pose estimation, crowd counting, object detection, etc. Another possible area of application, which to our knowledge has not been systematically explored so far, is proportion judgment. As a prerequisite for successful decision making, individuals often have to use proportion judgment strategies, with which they estimate the magnitude of one stimulus relative to another (larger) stimulus. This makes this estimation problem interesting for the application of machine learning techniques. In regard to
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Han, Bing, and Nelson Lim. "Estimating conditional proportion curves by regression residuals." Statistics in Medicine 29, no. 13 (2010): 1443–54. http://dx.doi.org/10.1002/sim.3889.

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Lee, Dong-Hee. "Regression Models for Bivariate Semi-continuous Proportion Data." Korean Data Analysis Society 19, no. 2 (2017): 663–73. http://dx.doi.org/10.37727/jkdas.2017.19.2.663.

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Naik, V. D., and P. C. Gupta. "On regression method for estimating a population proportion." Statistical Papers 37, no. 1 (1996): 85–92. http://dx.doi.org/10.1007/bf02926162.

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Salsabila, Santi Wahyu, Achmad Efendi, and Nurjannah Nurjannah. "Simulation Study of Zero Inflated Negative Binomial Regression." CAUCHY: Jurnal Matematika Murni dan Aplikasi 10, no. 1 (2025): 457–68. https://doi.org/10.18860/cauchy.v10i1.32499.

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This study aims at evaluating the performance of Zero Inflated Negative Binomial (ZINB) regression analysis using the Maximum Likelihood Estimation (MLE) approach through simulation study. The research data used are secondary data and simulations. Secondary data was obtained from the Ministry of Health of the Republic of Indonesia in 2023 regarding cases of under-five deaths due to pneumonia with a total of 38 samples. The simulation study is conducted to analyze the performance of ZINB regression based on various sample sizes and proportions of zero values. The results show that the ZINB regr
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Galvis, Diana M., Dipankar Bandyopadhyay, and Victor H. Lachos. "Augmented mixed beta regression models for periodontal proportion data." Statistics in Medicine 33, no. 21 (2014): 3759–71. http://dx.doi.org/10.1002/sim.6179.

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Sambhram, S. Patil. "Profitability of Indian Automobile Companies." Journal of Research and Review in Purchasing and Supply Management 2, no. 1 (2024): 40–49. https://doi.org/10.5281/zenodo.14504663.

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<em>Car industry is one of the vital areas in India and it is the advancing business in the country. The business helps the economy in numerous ways. The specialist chose 10 companies. For the investigation of benefit. The time duration of the review are from 2015 to 2024. The review utilized auxiliary information (bookkeeping information). The analytical tests involved proportional examination such as Pooled Regression, Fixed Effect Model, Random Effect Model, First - Differencing and Hausman test (Ph-test) were run and the following results were obtained., some are diminished during the revi
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Nordmann, Tamara, Saskia Dede Davi, Michael Ramharter, and Johannes Mischlinger. "Quantification of the Proportion of Unfavorable Clinical Outcomes among Imported Malaria Patients According to the Degree of Semi-Immunity on Population Level: An Ecological Study." American Journal of Tropical Medicine and Hygiene 105, no. 2 (2021): 477–79. http://dx.doi.org/10.4269/ajtmh.21-0196.

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ABSTRACT. The protective effect of semi-immunity to alleviate clinical complications of malaria remains incompletely understood. This ecological study quantified the proportion of unfavorable clinical outcomes among patient populations with imported malaria as a function of the reported proportion of absent semi-immunity in a patient population. Group-level proportions were extracted from published studies on imported malaria. Linear regression analyses demonstrate a consistent positive trend between the average proportion of absent semi-immunity in patient populations of imported malaria and
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Shim, Jooyong, and Changha Hwang. "Geographically weighted kernel logistic regression for small area proportion estimation." Journal of the Korean Data and Information Science Society 27, no. 2 (2016): 531–38. http://dx.doi.org/10.7465/jkdi.2016.27.2.531.

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Dissertations / Theses on the topic "Regression of Proportion"

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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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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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Books on the topic "Regression of Proportion"

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O'Quigley, John. Proportional Hazards Regression. Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-68639-4.

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Tapia-Aguilar, Alberto. Accurate confidence intervals for regression parameters in proportional hazards model. [s.n.], 1994.

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Spray, Judith A. Comparison of loglinear and logistic regression models for detecting changes in proportions. American College Testing Program, 1988.

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LeBlanc, Michael R. Step-function covariate effects in the proportional hazards model. University of Toronto, Department of Statistics, 1993.

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Consortium for Mathematics and Its Applications (U.S.), Chedd-Angier Production Company, American Statistical Association, and Annenberg Media, eds. Against all odds--inside statistics: Disc 3, programs 9-12. Annenberg Media, 2011.

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O'Quigley, John. Proportional Hazards Regression. Springer New York, 2010.

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O'Quigley, John. Survival Analysis: Proportional and Non-Proportional Hazards Regression. Springer, 2021.

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O'Quigley, John. Survival Analysis: Proportional and Non-Proportional Hazards Regression. Springer International Publishing AG, 2022.

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Proportional Hazards Regression (Statistics for Biology and Health). Springer, 2008.

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O'Quigley, John. Proportional Hazards Regression (Statistics for Biology and Health). Springer, 2008.

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Book chapters on the topic "Regression of Proportion"

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García Portilla, Jason. "Component 1 (Macro): Quantitative (Regression) Analysis." In “Ye Shall Know Them by Their Fruits”. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-78498-0_15.

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AbstractThis chapter corresponds to the macro-quantitative component. It discusses how competitiveness and corruption were modelled, how the methods were applied in the correlation analysis and which empirical results were achieved.Regression analysis is used to test the relationship between variables of some prominent prosperity/corruption theories. This part does not seek to prove causation, but instead empirically explores whether competitiveness/transparency are related to indicators such as state religion or a population’s religious affiliation.Consistent results of the models on competit
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Guo, Jiaxu, Shaowei Hu, Xuan Zhao, Xiu Tao, and Ying Nie. "Compressive Strength Performance of Additives for Cement-Based Grouting Material with Low Water-Binder Ratio by Response Surface Methodology." In Lecture Notes in Civil Engineering. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_34.

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AbstractIn order to research the influence and the function mechanism of calcium formate and defoaming agent on the compressive strength of cement-based grouting material with low water-binder ratio at different ages, quadratic polynomial regression models were established by RSM, and the mix proportion was optimized. The function mechanism of additives was analysed by macroscopic mechanical properties and microstructure. The results indicated that the response surface method is scientific in optimizing the mix proportion of cement-based grouting material. The optimal mix proportion was obtain
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Harrell, Frank E. "Cox Proportional Hazards Regression Model." In Regression Modeling Strategies. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19425-7_20.

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Harrell, Frank E. "Cox Proportional Hazards Regression Model." In Regression Modeling Strategies. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3462-1_19.

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Wang, Wei, and Chengcheng Hu. "Proportional Hazards Regression Models." In Springer Handbook of Engineering Statistics. Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-288-1_21.

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Matthews, David Edward, and Vernon Todd Farewell. "13 Proportional Hazards Regression." In Using and Understanding Medical Statistics. KARGER, 2007. http://dx.doi.org/10.1159/000099428.

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Carter, Walter H., Galen L. Wampler, and Donald M. Stablein. "Proportional Hazards Analysis." In Regression Analysis of Survival Data in Cancer Chemotherapy. CRC Press, 2024. http://dx.doi.org/10.1201/9781003573531-3.

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Riyanti, Novi Dwi, Werner R. Murhadi, and Mudji Utami. "The Influence of Good Corporate Governance through the Gender Diversity on Firm Performance." In Proceedings of the 19th International Symposium on Management (INSYMA 2022). Atlantis Press International BV, 2022. http://dx.doi.org/10.2991/978-94-6463-008-4_2.

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AbstractThe objective of this study is to look at how board size, board gender diversity, independent commissioners, leverage, and firm size affect firm performance in manufacturing companies in Indonesia Stock Exchange and the Philippines Stock Exchange. This study used a quantitative approach with two least square regression analysis models and a sample of manufacturing sector companies listed on the Indonesia Stock Exchange and the Philippines Stock Exchange, with a total of 100 business entities and 480 observations. This study used the presence of female commissioners and the proportion o
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Broström, Göran. "Proportional Hazards and Cox Regression." In Event History Analysis with R, 2nd ed. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9780429503764-3.

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Zang, Wanjun, and Jiang Wen. "Analysis of Slurry Ratio of Rotary Digging Pile in Deep Sand Layer." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1748-8_11.

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AbstractSlurry ratio is a crucial link in the construction of bored pile, which directly determines the quality of bored pile. In order to determine the key performance parameters of the slurry required to form piles in the deep sand layer, relying on Huizhou north station engineering, an orthogonal test of slurry proportioning was designed and carried out, and SPSS statistical analysis software was used to carry out bivariate correlation analysis and multivariate stepwise analysis of the test results, combined with the slurry performance index test regression equation and using MATLAB softwar
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Conference papers on the topic "Regression of Proportion"

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Girard-Jollet, J., L. Shi, F. Boitier, and P. Layec. "Nonlinearity Estimation Leveraging PSD-based Monitoring and Machine Learning." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.m2e.2.

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We propose a regression model to estimate Kerr nonlinearity proportion in fiber optic transmissions. Trained on simulations and validated experimentally, the model achieves a 4% RMSE across varying power profiles, CPE parameters, and transmission reaches.
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Futas, Peter, Alena Pribulova, Jozef Petrik, Peter Peter Blasko, and Maria Mihalikova. "USE OF REGRESSION ANALYSIS AND SIMULATION TO OPTIMIZE THE COMPOSITION OF THE CAST IRON CHARGE." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s04.58.

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Cast iron GG30 (EN-GJL-300C) has excellent mechanical properties and good machinability. It can be used in many industries such as hydraulics, engineering, automotive, oil and gas mining, and processing. It is suitable for the production of compressor and pump components. Return material, technological residue, iron scrap, fractional cast iron, liquid metal, and alloying components can be used as input raw materials in the production of cast iron, the first three were taken into account in the analysis. In practice, it is possible to choose their different ratio. At the same time, their chemic
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Cohen, Benjamin G., Burcu Beykal, and George M. Bollas. "Selection of Fitness Criteria for Learning Interpretable PDE Solutions via Symbolic Regression." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.199083.

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Physics-Informed Symbolic Regression (PISR) offers a pathway to discover human-interpretable solutions to partial differential equations (PDEs). This work investigates three fitness metrics within a PISR framework: PDE fitness, Bayesian Information Criterion (BIC), and a fitness metric proportional to the probability of a model given the data. Through experiments with Laplace�s equation, Burgers� equation, and a nonlinear wave equation, we demonstrate that incorporating information theoretic criteria like BIC can yield higher fidelity models while maintaining interpretability. Our results show
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Li, Lianfang, and William Hartt. "The Role of Indium and Zinc in Activation of Aluminum in NaCl Solutions and in Seawater." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02019.

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Abstract The pitting and repassivation potentials (Ep and Er, respectively) of 1) Al (99.995% purity), 2) an Al-Zn and Al-In alloy, 3) a commercial Al-5.17 w/o Zn-0.017 w/o In anode, and 4) a built-up, arc sprayed 20 w/o Zn-0.2 w/o In alloy were determined using the cyclic potentiodynamic polarization technique. Also determined were current-time trends of Al in 0.5M NaCl solution with and without 0.005M In2(SO4)3 under potentiostatic polarization in the potential range from –0.70V to -1.20VSCE. A multiple linear regression model revealed that Ep and Er were linearly proportional to the individ
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Castro-Amoedo, Rafael, Alessio Santecchia, Henrique A. Matos, and Fran�ois Mar�chal. "Real-time carbon accounting and forecasting for reduced emissions in grid-connected processes." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.109753.

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Real-time carbon accounting is crucial for advancing policies that effectively meet sustainability objectives. This work introduces a carbon tracking tool specifically designed for the European electricity grid. The tool collects hourly data on electricity consumption and generation, cross-border power exchanges, and weather information to assess the real-time environmental effects of electricity use, employing locally-specific emission factors for the generation sources. It utilizes weather data from various stations across Europe to produce week-ahead forecasts of carbon intensity in the gri
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Center, Julian L., Kevin H. Knuth, Ariel Caticha, Julian L. Center, Adom Giffin, and Carlos C. Rodríguez. "Regression for Proportion Data." In BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING. AIP, 2007. http://dx.doi.org/10.1063/1.2821266.

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Zhang, Bin, and Shoucheng Yuan. "Analysis of Affecting Factors of Proportion of Tertiary Industry Based on Ridge Regression." In 2018 2nd International Conference on Management, Education and Social Science (ICMESS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/icmess-18.2018.66.

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Diz-Rosales, Naomi, María José Lombardía, and Domingo Morales. "Mapping the Poverty Proportion in Small Areas under Random Regression Coefficient Poisson Models." In Congreso XoveTIC: impulsando el talento científico (6º. 2023. A Coruña). Servizo de Publicacions. Universidade da Coruña, 2023. http://dx.doi.org/10.17979/spudc.000024.18.

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In a complex socio-economic context, policy makers need highly disaggregated poverty indicators. In this work, we develop a methodology in small area estimation to derive predictors of poverty proportions under a random regression coefficient Poisson model, introducing bootstrap estimators of mean squared errors. Maximum likelihood estimators of model parameters and random effects mode predictors are calculated using a Laplace approximation algorithm. Simulation experiments are conducted to investigate the behaviour of the fitting algorithm, the predictors and the mean squared error estimator.
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Ojha, Varun Kumar, Paramartha Dutta, Hiranmay Saha, and Sugato Ghosh. "Linear regression based statistical approach for detecting proportion of component gases in manhole gas mixture." In 2012 1st International Symposium on Physics and Technology of Sensors (ISPTS). IEEE, 2012. http://dx.doi.org/10.1109/ispts.2012.6260865.

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Rejivas, V. A., A. Praveen, and T. Ajitha. "Determination of Collinearity Developed in the CMB Model with the Concepts of Multi Linear Regression Analysis." In 2nd International Conference on Modern Trends in Engineering Technology and Management. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.160.12.

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The Chemical Mass Balance model (CMB) gives an accurate source apportionment for the contribution of the sources with the input data of the source profile and receptor data collected. The source profiles for different sources should have a unique and specific species characterization for getting accurate source apportionment results. But due to the mixing of sources, the species characterization source profile may not have unique and specific species characterization due to the non-availability of the exact representation of particular sources and culminates collinearity of species during the
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Reports on the topic "Regression of Proportion"

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Koenker, Roger, and Naveen Narisetty. Censored quantile regression survival models with a cure proportion. The IFS, 2019. http://dx.doi.org/10.1920/wp.cem.2019.5619.

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Puttanapong, Nattapong, Arturo M. Martinez Jr, Mildred Addawe, Joseph Bulan, Ron Lester Durante, and Marymell Martillan. Predicting Poverty Using Geospatial Data in Thailand. Asian Development Bank, 2020. http://dx.doi.org/10.22617/wps200434-2.

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This study examines an alternative approach in estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial distribution of poverty in Thailand. It also compares the predictive performance of various econometric and machine learning methods such as generalized least squares, neural network, random forest, and support vector regression. Results suggest that intensity of night lights and other variables that approximate population density are highly associated with the proportion of population living in poverty. The random forest technique yiel
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Tangka, Florence K. L., Sujha Subramanian, Madeleine Jones, et al. Young Breast Cancer Survivors: Employment Experience and Financial Well-Being. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.rr.0041.2007.

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The economic burden of breast cancer for women under 50 in the United States remains largely unexplored, in part because young women make up a small proportion of breast cancer cases overall. To address this knowledge gap, we conducted a web-based survey to compare data from breast cancer survivors 18–39 years of age at first diagnosis and 40–49 years of age at first diagnosis. We administered a survey to a national convenience sample of 416 women who were 18–49 years of age at the time of their breast cancer diagnosis. We analyzed factors associated with financial decline using multivariate r
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O'Toole, Conor, and Rachel Slaymaker. Household size in Ireland: Stylised facts and cross country trends. ESRI, 2024. http://dx.doi.org/10.26504/qec2024sum_sa_otoole.

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This paper uses cross-country data to explore the trends in household size in Ireland and to place these trends in a European context. Using cross country data from the EU-SILC survey, the research presents a range of stylised facts regarding how Ireland differs from other countries and attempts to explore what might explain the variation. We find that Ireland has a high average household size on a cross-country basis. However, this appears to be strongly influenced by demographics, with high fertility rate, younger population and thus high share of households with children important factors i
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Orbeta, Aniceto Jr, and Maropsil Potestad. On the Employability of the Senior High School Graduates: Evidence from the Labor Force Survey. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.40.

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Continuing from the Institutes 2018 study on the SHS and the labor market which interviewed graduating SHS students and HR managers of firms about their perspectives on the prospects for employment, this study intends to gauge the actual performance of the SHS graduates in the labor market. Entry into the labor market is considered as one of the possible exits of SHS graduates. Given the first batch of SHS graduates in April 2018, this study utilizes eight rounds of Labor Force Survey (LFS) from July 2018 to April 2020. Labor market outcomes of SHS graduates (G12) are compared to their peers -
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Sim, Sokcheng, Socheat Keo, and Molideth Sarom. Pesticide Use Practices in Cambodia’s Vegetable Farming. Cambodia Development Resource Institute, 2021. https://doi.org/10.64202/wp.128.202108.

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Pesticides are agricultural technologies that farmers use to control pests and weeds and remain an important modern input for crop production including vegetable farming. There are many types of pesticides, such as insecticides, fungicides, rodenticides and herbicides, that target different threats to crops. While the potential production benefits of chemical pesticides are undeniable, people are becoming more aware of their risks. There is an array of dangers associated with inappropriate pesticide use. As pesticides are a poison, they pose inherent health risks to the farmers exposed to them
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McKee, Anna, and Ann Couch. Land use and dog park associations with Escherichia coli in the Chattahoochee River National Recreation Area watershed. National Park Service, 2024. http://dx.doi.org/10.36967/2302755.

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A recent study in the Chattahoochee River National Recreation Area (CHAT) indicated that dogs were a primary source of fecal contamination in the Chattahoochee River and that at least some of the contamination in the river was coming from locations outside of CHAT. The study herein sought to determine if dog parks in the CHAT watershed were sources of dog fecal contamination in streams within the watershed. Escherichia coli (E. coli) data were compiled from the Chattahoochee Riverkeeper Neighborhood Water Watch (NWW) program for sites within the CHAT watershed. Information about dog park locat
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Yáñez-Pagans, Patricia. Do We Need More Women in Power? Gender, Public Policy, and Development in Bolivia. Inter-American Development Bank, 2014. http://dx.doi.org/10.18235/0011665.

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This paper evaluates the impacts of increasing female representation in Bolivian municipal councils on public policy choices and welfare outcomes. By combining detailed administrative panel data on municipal expenditures and revenues together with electoral data, an innovative regression discontinuity design (RDD) is applied. As opposed to previous studies, the RDD approach proposed is unique since it is implemented to systems of proportional representation. Findings indicate that municipalities with women councilors devote more resources to social investments. In particular, women politicians
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Shivakumar, Pranavkumar, Kanika Gupta, Antonio Bobet, Boonam Shin, and Peter J. Becker. Estimating Strength from Stiffness for Chemically Treated Soils. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317383.

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The central theme of this study is to identify strength-stiffness correlations for chemically treated subgrade soils in Indiana. This was done by conducting Unconfined Compression (UC) Tests and Resilient Modulus Tests for soils collected at three different sites—US-31, SR-37, and I-65. At each site, soil samples were obtained from 11 locations at 30 ft spacing. The soils were treated in the laboratory with cement, using the same proportions used for construction, and cured for 7 and 28 days before testing. Results from the UC tests were compared with the resilient modulus results that were av
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Brosh, Arieh, David Robertshaw, Yoav Aharoni, Zvi Holzer, Mario Gutman, and Amichai Arieli. Estimation of Energy Expenditure of Free Living and Growing Domesticated Ruminants by Heart Rate Measurement. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580685.bard.

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Research objectives were: 1) To study the effect of diet energy density, level of exercise, thermal conditions and reproductive state on cardiovascular function as it relates to oxygen (O2) mobilization. 2) To validate the use of heart rate (HR) to predict energy expenditure (EE) of ruminants, by measuring and calculating the energy balance components at different productive and reproductive states. 3) To validate the use of HR to identify changes in the metabolizable energy (ME) and ME intake (MEI) of grazing ruminants. Background: The development of an effective method for the measurement of
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