Results 161 to 170 of about 141,753 (193)
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The performance of M-based generalized linear model (GLM) procedures based on the coverage probability

2009 World Congress on Nature & Biologically Inspired Computing (NaBIC), 2009
In designed experiments, we often encountered nonnormal response variables. The data transformations (Transf) approached are frequently employed to deal with these problems. One has to realize that analyzing such data based on transformations posed many drawbacks. A better approach in dealing with these problems is by using the Generalized Linear Model
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ANALISIS DATA LONGITUDINAL KUNJUNGAN KESEHATAN PUSKESMAS KOTO BARU SIMALANGGANG MENGGUNAKAN METODE GENERALIZED LINEAR MODELS (GLM) DAN GENERALIZED LINEAR MIXED MODELS (GLMM)

2023
Kesehatan memiliki peranan penting dalam kehidupan manusia. Banyaknya kunjungan kesehatan ke pusat kesehatan menyebabkan pihak kesehatan memikirkan faktor-faktor yang mempengaruhi kesehatan pasiennya. Penggunaan data longitudinal pasien diukur dalam beberapa periode waktu dengan tanggapan kuantitatif merupakan hal yang umum dalam penelitian medis, data
openaire  

Statistical Downscaling of Precipitation in the Upper Nile: Use of Generalized Linear Models (GLMs) for the Kyoga Basin

2014
General circulation model (GCM) climate projections cannot be relied on to provide information at scales finer than the GCM model-grid resolutions; hence, fine-scale information can be achieved by the use of high spatial resolution in dynamical models or empirical statistical downscaling.
M. Kigobe, H. Wheater, N. McIntyre
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Application of General Linear Modeling (GLM) to analysis of indentation in compact bone

2012
The indentation process is useful in determining the behavior of a material under the action of a point or line load. The main geometric features of a wedge shaped indenter are the wedge angle and the radius on the wedge apex. General Linear Modeling is a statistical linear regression model which may be stated as: Y= β0+β1Xi1+β2X i2+β3Xi3+β4X i1Xi2 ...
Reilly, Ger, Taylor, David
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PREMIUM PRICING AND RISK ASSESSMENT FOR CLAIM AMOUNTS BASED ON GENERALIZED LINEAR MODELS (GLM)

2013
ActuarialScience is described as a mechanism that decreases the negative financialeffects of random events which becomes obstacles to actualize reasonableexpectations. It is important subject to make a fair share for the same amountof money which is paid by the people who has the same risk.
Sarul, Latife Sinem   +1 more
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A Connection Between Pattern Classification by Machine Learning and Statistical Inference With the General Linear Model

IEEE Journal of Biomedical and Health Informatics, 2022
Juan M Gorriz   +2 more
exaly  

The general linear model and fMRI: Does love last forever?

NeuroImage, 2012
Jean-Baptiste Poline
exaly  

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