Results 11 to 20 of about 332,658 (263)
Modeling with generalized linear model on covid-19: Cases in Indonesia
International Journal of Electronics and Communications System, 2021 The ongoing Covid-19 outbreak has made scientists continue to research this Covid-19 case. Most of the research carried out is on the prediction and modeling of Covid-19 data. This study will also discuss Covid-19 data modeling.
Subian Saidi +2 more
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Bayesian Inference Using Hyper Product Inverse Moment Prior in the Ultrahigh-Dimensional Generalized Linear Models [PDF]
Mathematics and Modeling in Finance, 2022 In this paper, we considered a Bayesian hierarchical method using the hyper product inverse moment prior in the ultrahigh-dimensional generalized linear model (UDGLM), that was useful in the Bayesian variable selection.
Robabeh Hosseinpour Samim Mamaghani +1 more
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A Constrained Generalized Functional Linear Model for Multi-Loci Genetic Mapping
Stats, 2021 In genome-wide association studies (GWAS), efficient incorporation of linkage disequilibria (LD) among densely typed genetic variants into association analysis is a critical yet challenging problem.
Jiayu Huang +4 more
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Journal of Forest Science, 2015 Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
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Journal of the Royal Statistical Society. Series A (General), 1972 The technique of iterative weighted linear regression can be used to obtain maximum likelihood estimates of the parameters with observations distributed according to some exponential family and systematic effects that can be made linear by a suitable transformation.
Nelder, J. A., Wedderburn, R. W. M.
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Implementing Analysis of Ordinal Regression Model on Student’s Feedback Response
Cihan University-Erbil Journal of Humanities and Social Sciences, 2021 Instruction is a multidimensional procedure including a quantity of features, e.g., tutor qualities, that occasionally are hard to assess. In certain points, education efficiency, that is a part of instructing, is affected by a combination of teacher ...
Dler H. Kadir, Ameera W. Omer
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Simultaneous prediction in the generalized linear model
Open Mathematics, 2018 This paper studies the prediction based on a composite target function that allows to simultaneously predict the actual and the mean values of the unobserved regressand in the generalized linear model.
Bai Chao, Li Haiqi
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Generalized linear mixed model for segregation distortion analysis
BMC Genetics, 2011 Background Segregation distortion is a phenomenon that the observed genotypic frequencies of a locus fall outside the expected Mendelian segregation ratio. The main cause of segregation distortion is viability selection on linked marker loci.
Zhan Haimao, Xu Shizhong
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Model averaging for generalized linear models in fragmentary data prediction
Statistical Theory and Related Fields, 2022 Fragmentary data is becoming more and more popular in many areas which brings big challenges to researchers and data analysts. Most existing methods dealing with fragmentary data consider a continuous response while in many applications the response ...
Chaoxia Yuan, Yang Wu, Fang Fang
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Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 2021 Penjualan merupakan syarat mutlak kelangsungan suatu usaha, karena dengan penjualan maka akan didapatkan keuntungan. Metode Linear Regression dan Generalized Linear Model merupakan metode pendekatan yang didukung dengan perhitungan RSME. RMSE (Root Mean
Fitria Habibatul Hamdanah +1 more
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