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Статті в журналах з теми "Generalised lineal mixed-effects models"
Lai, T. L. "A hybrid estimator in nonlinear and generalised linear mixed effects models." Biometrika 90, no. 4 (December 1, 2003): 859–79. http://dx.doi.org/10.1093/biomet/90.4.859.
Повний текст джерелаCadigan, N. G., M. J. Morgan, and J. Brattey. "Improved estimation and forecasts of stock maturities using generalised linear mixed models with auto-correlated random effects." Fisheries Management and Ecology 21, no. 5 (June 25, 2014): 343–56. http://dx.doi.org/10.1111/fme.12080.
Повний текст джерелаWillis, Brian H., Mohammed Baragilly, and Dyuti Coomar. "Maximum likelihood estimation based on Newton–Raphson iteration for the bivariate random effects model in test accuracy meta-analysis." Statistical Methods in Medical Research 29, no. 4 (June 11, 2019): 1197–211. http://dx.doi.org/10.1177/0962280219853602.
Повний текст джерелаHao, Chengcheng, Dietrich von Rosen, and Tatjana von Rosen. "Influence diagnostics for count data under AB–BA crossover trials." Statistical Methods in Medical Research 26, no. 6 (November 23, 2015): 2938–50. http://dx.doi.org/10.1177/0962280215615597.
Повний текст джерелаMielenz, Norbert, Joachim Spilke, and Eberhard von Borell. "Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars." Archives Animal Breeding 57, no. 1 (January 29, 2015): 1–19. http://dx.doi.org/10.5194/aab-57-26-2015.
Повний текст джерелаMielenz, Norbert, Joachim Spilke, and Eberhard von Borell. "Analysis of correlated count data using generalised linear mixed models exemplified by field data on aggressive behaviour of boars." Archives Animal Breeding 57, no. 1 (January 29, 2015): 1–19. http://dx.doi.org/10.7482/0003-9438-57-026.
Повний текст джерелаEvans, Fiona H., and Jianxiu Shen. "Long-Term Hindcasts of Wheat Yield in Fields Using Remotely Sensed Phenology, Climate Data and Machine Learning." Remote Sensing 13, no. 13 (June 22, 2021): 2435. http://dx.doi.org/10.3390/rs13132435.
Повний текст джерелаWehnert, Alexandra, Sven Wagner, and Franka Huth. "Effects of Pure and Mixed Pine and Oak Forest Stands on Carabid Beetles." Diversity 13, no. 3 (March 17, 2021): 127. http://dx.doi.org/10.3390/d13030127.
Повний текст джерелаAdamec, Z. "Comparison of linear mixed effects model and generalized model of the tree height-diameter relationship." Journal of Forest Science 61, No. 10 (June 3, 2016): 439–47. http://dx.doi.org/10.17221/68/2015-jfs.
Повний текст джерелаTan, Z. D., L. R. Carrasco, and D. Taylor. "Corrigendum to: Spatial correlates of forest and land fires in Indonesia." International Journal of Wildland Fire 30, no. 9 (2021): 732. http://dx.doi.org/10.1071/wf20036_co.
Повний текст джерелаДисертації з теми "Generalised lineal mixed-effects models"
Sima, Adam. "Accounting for Model Uncertainty in Linear Mixed-Effects Models." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2950.
Повний текст джерелаOverstall, Antony Marshall. "Default Bayesian model determination for generalised linear mixed models." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/170229/.
Повний текст джерелаGory, Jeffrey J. "Marginally Interpretable Generalized Linear Mixed Models." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1497966698387606.
Повний текст джерелаMin, Min. "Asymptotic normality in generalized linear mixed models." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7758.
Повний текст джерелаThesis research directed by: Dept. of Mathematics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Richardson, Troy E. "Treatment heterogeneity and potential outcomes in linear mixed effects models." Diss., Kansas State University, 2013. http://hdl.handle.net/2097/15950.
Повний текст джерелаDepartment of Statistics
Gary L. Gadbury
Studies commonly focus on estimating a mean treatment effect in a population. However, in some applications the variability of treatment effects across individual units may help to characterize the overall effect of a treatment across the population. Consider a set of treatments, {T,C}, where T denotes some treatment that might be applied to an experimental unit and C denotes a control. For each of N experimental units, the duplet {r[subscript]i, r[subscript]Ci}, i=1,2,…,N, represents the potential response of the i[superscript]th experimental unit if treatment were applied and the response of the experimental unit if control were applied, respectively. The causal effect of T compared to C is the difference between the two potential responses, r[subscript]Ti- r[subscript]Ci. Much work has been done to elucidate the statistical properties of a causal effect, given a set of particular assumptions. Gadbury and others have reported on this for some simple designs and primarily focused on finite population randomization based inference. When designs become more complicated, the randomization based approach becomes increasingly difficult. Since linear mixed effects models are particularly useful for modeling data from complex designs, their role in modeling treatment heterogeneity is investigated. It is shown that an individual treatment effect can be conceptualized as a linear combination of fixed treatment effects and random effects. The random effects are assumed to have variance components specified in a mixed effects “potential outcomes” model when both potential outcomes, r[subscript]T,r[subscript]C, are variables in the model. The variance of the individual causal effect is used to quantify treatment heterogeneity. Post treatment assignment, however, only one of the two potential outcomes is observable for a unit. It is then shown that the variance component for treatment heterogeneity becomes non-estimable in an analysis of observed data. Furthermore, estimable variance components in the observed data model are demonstrated to arise from linear combinations of the non-estimable variance components in the potential outcomes model. Mixed effects models are considered in context of a particular design in an effort to illuminate the loss of information incurred when moving from a potential outcomes framework to an observed data analysis.
Yam, Ho-kwan, and 任浩君. "On a topic of generalized linear mixed models and stochastic volatility model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B29913342.
Повний текст джерелаOgden, Helen E. "Inference for generalised linear mixed models with sparse structure." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/60467/.
Повний текст джерелаTang, On-yee, and 鄧安怡. "Estimation for generalized linear mixed model via multipleimputations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30687652.
Повний текст джерелаMa, Renjun. "An orthodox BLUP approach to generalized linear mixed models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0024/NQ38934.pdf.
Повний текст джерелаTang, On-yee. "Estimation for generalized linear mixed model via multiple imputations." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B30687652.
Повний текст джерелаКниги з теми "Generalised lineal mixed-effects models"
Gbur, Edward E., Walter W. Stroup, Kevin S. McCarter, Susan Durham, Linda J. Young, Mary Christman, Mark West, and Matthew Kramer. Analysis of Generalized Linear Mixed Models in the Agricultural and Natural Resources Sciences. Madison, WI, USA: American Society of Agronomy and Soil Science Society of America, 2012. http://dx.doi.org/10.2134/2012.generalized-linear-mixed-models.
Повний текст джерелаConference Board of the Mathematical Sciences. and National Science Foundation (U.S.), eds. Generalized linear mixed models. Beachwood, Ohio: Institute of Mathematical Statistics, 2003.
Знайти повний текст джерелаMcCulloch, Charles E. Generalized Linear Mixed Models. Beechwood OH and Alexandria VA: Institute of Mathematical Statistics and American Statistical Association, 2003. http://dx.doi.org/10.1214/cbms/1462106059.
Повний текст джерелаMcCulloch, Charles E. Generalized, linear, and mixed models. New York: John Wiley & Sons, 2001.
Знайти повний текст джерелаMcCulloch, Charles E. Generalized, linear, and mixed models. 2nd ed. Hoboken, N.J: Wiley, 2008.
Знайти повний текст джерелаMcCulloch, Charles E. Generalized, Linear, and Mixed Models. New York: John Wiley & Sons, Ltd., 2005.
Знайти повний текст джерелаExtending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. Boca Raton: Taylor & Francis, 2016.
Знайти повний текст джерелаExtending linear models with R: Generalized linear, mixed effects and nonparametric regression models. Boca Raton: Chapman & Hall/CRC, 2006.
Знайти повний текст джерелаRobert, Crouchley, ed. Multivariate generalized linear mixed models using R. Boca Raton, FL: CRC Press, 2011.
Знайти повний текст джерелаJohn, Fox. Effects displays for generalized linear models. Toronto: York University, Institute for Social Research, 1987.
Знайти повний текст джерелаЧастини книг з теми "Generalised lineal mixed-effects models"
Mehtätalo, Lauri, and Juha Lappi. "Generalized Linear (Mixed-Effects) Models." In Biometry for Forestry and Environmental Data, 245–86. Boca Raton, FL : CRC Press, 2020. | Series: Chapman & Hall/CRC applied environmental statistics: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429173462-8.
Повний текст джерелаHoff, Peter D. "Linear and generalized linear mixed effects models." In Springer Texts in Statistics, 195–207. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-92407-6_11.
Повний текст джерелаLi, Chao, Lili Guo, Zheng Dou, Guangzhen Si, and Chunmei Li. "Generalized Multi-linear Mixed Effects Model." In Advances in Computer Science and Ubiquitous Computing, 253–58. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_41.
Повний текст джерелаIslam, M. Ataharul, and Rafiqul I. Chowdhury. "Generalized Linear Mixed Models." In Analysis of Repeated Measures Data, 169–76. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3794-8_13.
Повний текст джерелаAzen, Razia, and Cindy M. Walker. "Generalized Linear Mixed Models." In Categorical Data Analysis for the Behavioral and Social Sciences, 285–304. 2nd ed. Second edition. | New York, NY : Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9780429330308-11.
Повний текст джерелаJiang, Jiming, and Thuan Nguyen. "Linear Mixed Models: Part I." In Linear and Generalized Linear Mixed Models and Their Applications, 1–61. New York, NY: Springer New York, 2021. http://dx.doi.org/10.1007/978-1-0716-1282-8_1.
Повний текст джерелаJiang, Jiming, and Thuan Nguyen. "Linear Mixed Models: Part II." In Linear and Generalized Linear Mixed Models and Their Applications, 63–172. New York, NY: Springer New York, 2021. http://dx.doi.org/10.1007/978-1-0716-1282-8_2.
Повний текст джерелаJiang, Jiming, and Thuan Nguyen. "Generalized Linear Mixed Models: Part II." In Linear and Generalized Linear Mixed Models and Their Applications, 235–317. New York, NY: Springer New York, 2021. http://dx.doi.org/10.1007/978-1-0716-1282-8_4.
Повний текст джерелаJiang, Jiming, and Thuan Nguyen. "Generalized Linear Mixed Models: Part I." In Linear and Generalized Linear Mixed Models and Their Applications, 173–233. New York, NY: Springer New York, 2021. http://dx.doi.org/10.1007/978-1-0716-1282-8_3.
Повний текст джерелаFahrmeir, Ludwig, and Gerhard Tutz. "Random Effects Models." In Multivariate Statistical Modelling Based on Generalized Linear Models, 283–329. New York, NY: Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4757-3454-6_7.
Повний текст джерелаТези доповідей конференцій з теми "Generalised lineal mixed-effects models"
Yu, Dalei, Kelvin K. W. Yau, and Chang Ding. "Information Based Model Selection Criterion for Binary Response Generalized Linear Mixed Models." In 2012 Fifth International Joint Conference on Computational Sciences and Optimization (CSO). IEEE, 2012. http://dx.doi.org/10.1109/cso.2012.21.
Повний текст джерелаLi, Huayun, Laipeng Jin, and Dongchuan Yu. "Generalized Linear Mixed Models for the Analysis of Categorical Data." In the 2nd International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3239438.3239461.
Повний текст джерелаAdnyani, Luh Putu Widya, Khairil Anwar Notodiputro, and Bagus Sartono. "Method generalized linear model and generalized linear mixed model for panel data Human Development Index (HDI) in Indonesia." In INTERNATIONAL CONFERENCE ON STATISTICS AND DATA SCIENCE 2021. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0111780.
Повний текст джерелаAnggara, Dimas, Khairil Anwar Notodiputro, and Bagus Sartono. "Generalized linear mixed models: Application for consumer price index in Indonesia." In INTERNATIONAL CONFERENCE ON STATISTICS AND DATA SCIENCE 2021. AIP Publishing, 2022. http://dx.doi.org/10.1063/5.0108883.
Повний текст джерелаXingcai Zhou. "Monte Carlo EM algorithm for generalized linear models with linear structural random effects." In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5764054.
Повний текст джерелаZhou, Jiayu, Qi Li, E. Mingcheng, Zengqiang Jiang, and Jing Ma. "Train Wheel Rim Degradation Modeling based on Generalized Linear Mixed Effect Model." In 2019 Prognostics and System Health Management Conference (PHM-Qingdao). IEEE, 2019. http://dx.doi.org/10.1109/phm-qingdao46334.2019.8943064.
Повний текст джерелаXie, Shengkun, Chong Gan, and Clare Chua-Chow. "Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models." In 10th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010601003290334.
Повний текст джерелаXie, Shengkun, Chong Gan, and Clare Chua-Chow. "Estimating Territory Risk Relativity for Auto Insurance Rate Regulation using Generalized Linear Mixed Models." In 10th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications, 2021. http://dx.doi.org/10.5220/0010601000002993.
Повний текст джерелаTonah, Tonah, Anang Kurnia, and Kusman Sadik. "Hierarchical Generalized Linear Mixed Models for Multilevel Analysis of Indonesian Student’s PISA Mathematics Literacy Achievement." In Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bogor, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.2-8-2019.2290468.
Повний текст джерелаSunethra, A. A., and M. R. Sooriyarachchi. "Use of Sandwich Variance Estimation in Generalized Linear Mixed Models: for Binary Repeated Measures Data." In Annual International Conference on Operations Research and Statistics ( ORS 2016 ). Global Science & Technology Forum ( GSTF ), 2016. http://dx.doi.org/10.5176/2251-1938_ors16.12.
Повний текст джерелаЗвіти організацій з теми "Generalised lineal mixed-effects models"
Juricek, Ben C. Generalized Linear Mixed-Effects Models in R. Fort Belvoir, VA: Defense Technical Information Center, February 2003. http://dx.doi.org/10.21236/ada413561.
Повний текст джерелаComola, Margherita, Rokhaya Dieye, and Bernard Fortin. Heterogeneous peer effects and gender-based interventions for teenage obesity. CIRANO, September 2022. http://dx.doi.org/10.54932/tqag9043.
Повний текст джерела