Literatura científica selecionada sobre o tema "Models of generalized estimating equations"
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Artigos de revistas sobre o assunto "Models of generalized estimating equations"
Vens, M., e A. Ziegler. "Generalized Estimating Equations". Methods of Information in Medicine 49, n.º 05 (2010): 421–25. http://dx.doi.org/10.3414/me10-01-0026.
Texto completo da fonteFeddag, Mohand-Larbi, Ion Grama e Mounir Mesbah. "Generalized Estimating Equations (GEE) for Mixed Logistic Models". Communications in Statistics - Theory and Methods 32, n.º 4 (4 de janeiro de 2003): 851–74. http://dx.doi.org/10.1081/sta-120018833.
Texto completo da fonteLo, Chi Ho, Wing Kam Fung e Zhong Yi Zhu. "Structural Parameter Estimation Using Generalized Estimating Equations for Regression Credibility Models". ASTIN Bulletin 37, n.º 02 (novembro de 2007): 323–43. http://dx.doi.org/10.2143/ast.37.2.2024070.
Texto completo da fonteLo, Chi Ho, Wing Kam Fung e Zhong Yi Zhu. "Structural Parameter Estimation Using Generalized Estimating Equations for Regression Credibility Models". ASTIN Bulletin 37, n.º 2 (novembro de 2007): 323–43. http://dx.doi.org/10.1017/s0515036100014896.
Texto completo da fonteBreitung, J., N. R. Chaganty, R. M. Daniel, M. G. Kenward, M. Lechner, P. Martus, R. T. Sabo, Y. G. Wang e C. Zorn. "Discussion of “Generalized Estimating Equations: Notes on the Choice of the Working Correlation Matrix”". Methods of Information in Medicine 49, n.º 05 (2010): 426–32. http://dx.doi.org/10.1055/s-0038-1625133.
Texto completo da fonteZubair, Seema, e Sanjoy K. Sinha. "Marginal models for longitudinal count data with dropouts". Journal of Statistical Research 54, n.º 1 (25 de agosto de 2020): 27–42. http://dx.doi.org/10.47302/jsr.2020540102.
Texto completo da fonteMa, Yanyuan, e Marc G. Genton. "Explicit estimating equations for semiparametric generalized linear latent variable models". Journal of the Royal Statistical Society: Series B (Statistical Methodology) 72, n.º 4 (5 de julho de 2010): 475–95. http://dx.doi.org/10.1111/j.1467-9868.2010.00741.x.
Texto completo da fonteCorrente, JosÉ Eduardo, e Maria Del Pilar DÍAz. "Ordinal models and generalized estimating equations to evaluate disease severity". Journal of Applied Statistics 30, n.º 4 (maio de 2003): 425–39. http://dx.doi.org/10.1080/0266476032000035458.
Texto completo da fonteKoper, Nicola, e Micheline Manseau. "Generalized estimating equations and generalized linear mixed-effects models for modelling resource selection". Journal of Applied Ecology 46, n.º 3 (junho de 2009): 590–99. http://dx.doi.org/10.1111/j.1365-2664.2009.01642.x.
Texto completo da fonteNikita, Efthymia. "The use of generalized linear models and generalized estimating equations in bioarchaeological studies". American Journal of Physical Anthropology 153, n.º 3 (13 de dezembro de 2013): 473–83. http://dx.doi.org/10.1002/ajpa.22448.
Texto completo da fonteTeses / dissertações sobre o assunto "Models of generalized estimating equations"
Alnaji, Lulah A. "Generalized Estimating Equations for Mixed Models". Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1530292694012892.
Texto completo da fonteHuang, Danwei. "Robustness of generalized estimating equations in credibility models". Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38842312.
Texto completo da fonteHuang, Danwei, e 黃丹薇. "Robustness of generalized estimating equations in credibility models". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38842312.
Texto completo da fonteCai, 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.
Texto completo da fonteJang, Mi Jin. "Working correlation selection in generalized estimating equations". Diss., University of Iowa, 2011. https://ir.uiowa.edu/etd/2719.
Texto completo da fonteClark, Seth K. "Model Robust Regression Based on Generalized Estimating Equations". Diss., Virginia Tech, 2002. http://hdl.handle.net/10919/26588.
Texto completo da fontePh. D.
Akanda, Md Abdus Salam. "A generalized estimating equations approach to capture-recapture closed population models: methods". Doctoral thesis, Universidade de Évora, 2014. http://hdl.handle.net/10174/18297.
Texto completo da fonteCao, Jiguo. "Generalized profiling method and the applications to adaptive penalized smoothing, generalized semiparametric additive models and estimating differential equations". Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102483.
Texto completo da fonteFirst, penalized smoothing is extended by allowing for a functional smoothing parameter, which is adaptive to the geometry of the underlying curve, which is called adaptive penalized smoothing. In the first level of optimization, the smooth ing coefficients are local parameters, estimated by minimizing sum of squared errors, conditional on the functional smoothing parameter. In the second level, the functional smoothing parameter is a complexity parameter, estimated by minimizing generalized cross-validation (GCV), treating the smoothing coefficients as explicit functions of the functional smoothing parameter. Adaptive penalized smoothing is shown to obtain better estimates for fitting functions and their derivatives.
Next, the generalized semiparametric additive models are estimated by three levels of optimization, allowing response variables in any kind of distribution. In the first level, the nonparametric functional parameters are nuisance parameters, estimated by maximizing the regularized likelihood function, conditional on the linear coefficients and the smoothing parameter. In the second level, the linear coefficients are structural parameters, estimated by maximizing the likelihood function with the nonparametric functional parameters treated as implicit functions of linear coefficients and the smoothing parameter. In the third level, the smoothing parameter is a complexity parameter, estimated by minimizing the approximated GCV with the linear coefficients treated as implicit functions of the smoothing parameter. This method is applied to estimate the generalized semiparametric additive model for the effect of air pollution on the public health.
Finally, parameters in differential equations (DE's) are estimated from noisy data with the generalized profiling method. In the first level of optimization, fitting functions are estimated to approximate DE solutions by penalized smoothing with the penalty term defined by DE's, fixing values of DE parameters. In the second level of optimization, DE parameters are estimated by weighted sum of squared errors, with the smoothing coefficients treated as an implicit function of DE parameters. The effects of the smoothing parameter on DE parameter estimates are explored and the optimization criteria for smoothing parameter selection are discussed. The method is applied to fit the predator-prey dynamic model to biological data, to estimate DE parameters in the HIV dynamic model from clinical trials, and to explore dynamic models for thermal decomposition of alpha-Pinene.
Liu, Fangda, e 刘芳达. "Two results in financial mathematics and bio-statistics". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46976437.
Texto completo da fonteZheng, Xueying, e 郑雪莹. "Robust joint mean-covariance model selection and time-varying correlation structure estimation for dependent data". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2013. http://hub.hku.hk/bib/B50899703.
Texto completo da fontepublished_or_final_version
Statistics and Actuarial Science
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Livros sobre o assunto "Models of generalized estimating equations"
Gregory, Allan W. Estimating equations with combined moving average error processes under rational expectations. London, Canada: Dept. of Economics, University of Western Ontario, 1985.
Encontre o texto completo da fonteauthor, Ieno Elena N., ed. Beginner's guide to zero-inflated models with R. Newburgh, United Kingdom: Highland Statistics Ltd., 2016.
Encontre o texto completo da fonteZiegler, Andreas. Generalized Estimating Equations. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6.
Texto completo da fonteJoseph, Hilbe, ed. Generalized estimating equations. Boca Raton, FL: Chapman & Hall/CRC, 2003.
Encontre o texto completo da fonteservice), SpringerLink (Online, ed. Generalized Estimating Equations. New York, NY: Springer Science+Business Media, LLC, 2011.
Encontre o texto completo da fonte1944-, Hilbe Joseph M., ed. Quasi-least squares regression. Boca Raton: CRC Press, Taylor & Francis Group, 2014.
Encontre o texto completo da fonteJinfang, Wang, ed. Numerical methods for nonlinear estimating equations. Oxford: Clarendon Press, 2003.
Encontre o texto completo da fonteBayoumi, Tamim A. Estimating trade equations from aggregate bilateral data. [Washington, D.C.]: International Monetary Fund, Asia and Pacific Department, 1999.
Encontre o texto completo da fontePseudo Maximum Likelihood Methode und Generalised Estimating Equations zur Analyse korrelierter Daten. Frankfurt am Main: P. Lang, 1999.
Encontre o texto completo da fonteKnafl, George J. Modeling Correlated Outcomes Using Extensions of Generalized Estimating Equations and Linear Mixed Modeling. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-41988-1.
Texto completo da fonteCapítulos de livros sobre o assunto "Models of generalized estimating equations"
Ziegler, Andreas. "Generalized linear models". In Generalized Estimating Equations, 21–28. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_3.
Texto completo da fonteBravo, Francesco. "Semiparametric Generalized Estimating Equations in Misspecified Models". In Springer Proceedings in Mathematics & Statistics, 43–52. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0569-0_5.
Texto completo da fontePark, Hyoshin, e Nigel Pugh. "Generalized Estimating Equations Model Based Recursive Partitioning: Applied to Distracted Driving". In Advances in Intelligent Systems and Computing, 833–39. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93885-1_77.
Texto completo da fonteZiegler, Andreas, e Maren Vens. "Generalized Estimating Equations". In Handbook of Epidemiology, 1337–76. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-0-387-09834-0_45.
Texto completo da fonteMolenberghs, Geert, Geert Verbeke e Michael G. Kenward. "Generalized Estimating Equations". In Handbook of Epidemiology, 1–23. New York, NY: Springer New York, 2023. http://dx.doi.org/10.1007/978-1-4614-6625-3_45-1.
Texto completo da fonteZiegler, Andreas. "The linear exponential family". In Generalized Estimating Equations, 1–10. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_1.
Texto completo da fonteZiegler, Andreas. "The quadratic exponential family". In Generalized Estimating Equations, 11–20. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_2.
Texto completo da fonteZiegler, Andreas. "Maximum likelihood method". In Generalized Estimating Equations, 29–49. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_4.
Texto completo da fonteZiegler, Andreas. "Pseudo maximum likelihood method based on the linear exponential family". In Generalized Estimating Equations, 51–77. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_5.
Texto completo da fonteZiegler, Andreas. "Quasi generalized pseudo maximum likelihood method based on the linear exponential family". In Generalized Estimating Equations, 79–99. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0499-6_6.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Models of generalized estimating equations"
Lin, Xinfan, Anna Stefanopoulou, Patricia Laskowsky, Jim Freudenberg, Yonghua Li e R. Dyche Anderson. "State of Charge Estimation Error due to Parameter Mismatch in a Generalized Explicit Lithium Ion Battery Model". In ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control. ASMEDC, 2011. http://dx.doi.org/10.1115/dscc2011-6193.
Texto completo da fonteYang, Qingcai, Yunpeng Cao, Fang Yu, Jianwei Du e Shuying Li. "Health Estimation of Gas Turbine: A Symbolic Linearization Model Approach". In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-64071.
Texto completo da fonteMcCain, B. A., e A. G. Stefanopoulou. "Order Reduction for a Control-Oriented Model of the Water Dynamics in Fuel Cells". In ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2006. http://dx.doi.org/10.1115/fuelcell2006-97075.
Texto completo da fonteLi, Chen, e Liu Yanzhu. "The Robust Adaptive Control of Free-Floating Space Manipulator Systems". In ASME 2001 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/detc2001/vib-21534.
Texto completo da fonteGavrea, B., D. Negrut e F. A. Potra. "The Newmark Integration Method for Simulation of Multibody Systems: Analytical Considerations". In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81770.
Texto completo da fonteMilliet de Faverges, Marie, Giorgio Russolillo, Christophe Picouleau, Boubekeur Merabet e Bertrand Houzel. "Estimating Long-Term Delay Risk with Generalized Linear Models". In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569507.
Texto completo da fonteD'Angelo, G. M., N. A. Lazar, W. F. Eddy, J. C. Morris e Y. I. Sheline. "A generalized estimating equations approach for resting-state functional MRI group analysis". In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091254.
Texto completo da fonteBeghi, A., e D. D'Alessandro. "Some remarks on FSN models and generalized Riccati equations". In 1997 European Control Conference (ECC). IEEE, 1997. http://dx.doi.org/10.23919/ecc.1997.7082502.
Texto completo da fonteZha, Li-teng, Zhi-bin Li, Xiang Zhang e Liu-yi Gao. "Using Generalized Estimating Equation Model to Analyze Crash Frequency on Freeways in China". In 11th International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)228.
Texto completo da fonteKaram, Nada S., e Ahmed H. Khaleel. "Generalized inverse Rayleigh reliability estimation for the (2+1) cascade model". In XIAMEN-CUSTIPEN WORKSHOP ON THE EQUATION OF STATE OF DENSE NEUTRON-RICH MATTER IN THE ERA OF GRAVITATIONAL WAVE ASTRONOMY. AIP Publishing, 2019. http://dx.doi.org/10.1063/1.5116973.
Texto completo da fonteRelatórios de organizações sobre o assunto "Models of generalized estimating equations"
Over, Thomas, Riki Saito, Andrea Veilleux, Padraic O’Shea, Jennifer Sharpe, David Soong e Audrey Ishii. Estimation of Peak Discharge Quantiles for Selected Annual Exceedance Probabilities in Northeastern Illinois. Illinois Center for Transportation, junho de 2016. http://dx.doi.org/10.36501/0197-9191/16-014.
Texto completo da fonteLubowa, Nasser, Zita Ekeocha, Stephen Robert Byrn e Kari L. Clase. Pharmaceutical Industry in Uganda: A Review of the Common GMP Non-conformances during Regulatory Inspections. Purdue University, dezembro de 2021. http://dx.doi.org/10.5703/1288284317442.
Texto completo da fonteCerulli, Giovanni. Estimating Dose-Response Functions in Stata. Instats Inc., 2023. http://dx.doi.org/10.61700/iiawi76rkf2fr469.
Texto completo da fonteBudzich, Jeffrey. PR-685-184506-R05 Fluvial Geomorphology Equations and Mechanics. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), abril de 2020. http://dx.doi.org/10.55274/r0011666.
Texto completo da fonteMathew, Sonu, Srinivas S. Pulugurtha e Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, junho de 2022. http://dx.doi.org/10.31979/mti.2022.2119.
Texto completo da fonteMoreda, Fekadu, Benjamin Lord, Mauro Nalesso, Pedro Coli Valdes Daussa e Juliana Corrales. Hydro-BID: New Functionalities (Reservoir, Sediment and Groundwater Simulation Modules). Inter-American Development Bank, novembro de 2016. http://dx.doi.org/10.18235/0009312.
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