Estimating variance components

Download
119233.pdf
2002
Yuva, Filiz
Show full item record
79
views
0
downloads
https://hdl.handle.net/11511/12811
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

Estimating Non additive Value Functions With Active Learning In The Ordinal Classification Setting
Erişkin, Levent; Köksal, Gülser (null; 2015-11-01)
Estimating polynomial structures from radar data
Lundquist, Christian; Orguner, Umut; Gustafsson, Fredrik (IEEE Computer Society; 2010-07-29)
Situation awareness for vehicular safety and autonomy functions includes knowledge of the drivable area. This area is normally constrained between stationary road-side objects as guard-rails, curbs, ditches and vegetation. We consider these as extended objects modeled by polynomials along the road, and propose an algorithm to track each polynomial based on noisy range and bearing detections, typically from a radar. A straightforward Kalman filter formulation of the problem suffers from the errors-in-variabl...
Estimating Brain Connectivity for Pattern Analysis
Onal, Itir; Aksan, Emre; Velioglu, Burak; Firat, Orhan; Ozay, Mete; GİLLAM, İLKE; Yarman Vural, Fatoş Tunay (2014-04-25)
In this study, the degree of connectivity for each voxel, which is the unit element of functional Magnetic Resonance Imaging (fMRI) data, with its neighboring voxels is estimated. The neighborhood system is defined by spatial connectivity metrics and a local mesh of variable size is formed around each voxel using spatial neighborhood. Then, the mesh arc weights, called Mesh Arc Descriptors (MAD), are used to represent each voxel rather than its own intensity value measured by functional Magnetic Resonance I...
Estimating evapotranspiration by metric model over Çakit basin
Yanmaz, Denis Denizhan; Akyürek, Sevda Zuhal; Department of Civil Engineering (2019)
Water availability is a topic of interest for many engineering fields. Hydrological cycle is the key to acknowledge the available water in a specific region. Evapotranspiration together with precipitation are the most impactful parameters of the hydrological cycle. A system gains water via precipitation and loses water due to evapotranspiration. Evapotranspiration is the process of water transfer from land to atmosphere by evaporation from soil and other surfaces and by transpiration from vegetation which c...
Estimating Box-Cox power transformation parameter via goodness-of-fit tests
Asar, Ozgur; İlk Dağ, Özlem; DAĞ, OSMAN (Informa UK Limited, 2017-01-01)
Box-Cox power transformation is a commonly used methodology to transform the distribution of the data into a normal distribution. The methodology relies on a single transformation parameter. In this study, we focus on the estimation of this parameter. For this purpose, we employ seven popular goodness-of-fit tests for normality, namely Shapiro-Wilk, Anderson-Darling, Cramer-von Mises, Pearson Chi-square, Shapiro-Francia, Lilliefors and Jarque-Bera tests, together with a searching algorithm. The searching al...
Citation Formats
F. Yuva, “Estimating variance components,” Middle East Technical University, 2002.
METU IIS - Integrated Information Service open@metu.edu.tr