Results 21 to 30 of about 373,771 (313)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
Boosting Correlation Based Penalization in Generalized Linear Models [PDF]
, 2007 In high dimensional regression problems penalization techniques are a useful tool for estimation and variable selection. We propose a novel penalization technique that aims at the grouping effect which encourages strongly correlated predictors to be in ...
Tutz, Gerhard, Ulbricht, Jan
core +1 more source
Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models [PDF]
, 2008 In this paper we show how only a few outliers can completely break down EM-estimation of mixtures of regression models. A simple, yet very effective way of dealing with this problem, is to use a component where all regression parameters are fixed to zero
Leisch, Friedrich, Brito, Paula
core +1 more source
Generalized continuous linear model of international trade [PDF]
Problemi Ekonomiki, 2014 The probability-based approach to the linear model of international trade based on the theory of Markov processes with continuous time is analysed. A generalized continuous model of international trade is built, in which the transition of the system from
Kostenko Elena +2 more
doaj
Introduction to general and generalized linear models [PDF]
Journal of Applied Statistics, 2012 Introduction to general and generalized linear models, by Henrik Madsen and Poul Thyregod, Boca Raton, Chapman & Hall/CRC Press, 2011, xii+302 pp., £ 39.99 or US$83.95 (hardback), ISBN 978-1-420-09...
openaire +2 more sources
Multinomial logit bias reduction via Poisson log-linear model [PDF]
, 2010 It is shown how to obtain the bias-reducing penalized maximum likelihood estimator for the parameters of a multinomial logistic regression by using the equivalent Poisson log-linear model.
Firth, David +5 more
core +1 more source