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Distribution function
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#	Item
261	Monodromies and functional determinants in the CFT driven quantum cosmology A.O.Barvinsky and D.V.Nesterov Theory Department, Lebedev Physics Institute, Leninsky Prospect 53, Moscow, Russia Abstract We discuss the Add to Reading List Source URL: quarks.inr.ac.ru Language: English - Date: 2014-08-28 10:24:16 Functional analysis Generalized functions 3-sphere Analytic geometry Geometric topology Spheres Continuous function Distribution Dynamical system Mathematical analysis Geometry Mathematics
262	EVOLUTION OF ELECTRONS’ DISTRIBUTION FUNCTION DURING THEIR INTERACTOIN WITH PLASMA: NUMERICAL SIMULATION I.O. Anisimov, S.M. Levitsky, D.V. Sasyuk, T.V. Siversky Taras Shevchenko National University of Kyiv, Radio Phys Add to Reading List Source URL: www.kipt.kharkov.ua Language: English - Date: 2009-07-14 07:20:34 Electron Electric current Nuclear fusion Physics Plasma physics Plasma
263	R Reference Card by Tom Short, EPRI Solutions, Inc., Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R for Beginners by Emmanue Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2011-12-09 08:45:05 Covariance and correlation Functions and mappings Linear algebra Elementary mathematics Abstract algebra Function Normal distribution Vector space Logarithm Mathematics Algebra Mathematical analysis
264	Performance Evaluation of Single and Multiple-Gaussian Models for Skin Color Modeling Tiberio S. Caetano, Silvia D. Olabarriaga, Dante A. C. Barone Universidade Federal do Rio Grande do Sui Instituto de Informcitica Av. Add to Reading List Source URL: www.tiberiocaetano.com Language: English - Date: 2008-05-10 06:34:26 Statistical theory Gaussian function Cluster analysis Mixture model Expectation–maximization algorithm Segmentation Maximum likelihood Normal distribution Statistical model Statistics Image processing Estimation theory
265	Exercises for Stat II 1. Let X1 , ..., Xn be a sample of iid random variables with the density f (x) = (θ+1)xθ , 0 ≤ x ≤ 1. (a) Find the asymptotic variance of the mle of θ. 2. Let X1 , ..., Xn be a iid sample wit Add to Reading List Source URL: cwick.co.nz Language: English - Date: 2014-03-25 19:42:02 Hypothesis testing Statistical tests Statistical inference Confidence interval Likelihood function Normal distribution Likelihood-ratio test Statistical power Statistical significance Statistics Estimation theory Statistical theory
266	Development of the surface reflectance Fundamental Climate Data Record from the Landsat archive, the LDCM mission and future Landsats Principal Investigator Dr. Eric Vermote NASA GSFC Code 619 Add to Reading List Source URL: landsat.usgs.gov Language: English - Date: 2013-01-07 10:53:31 Atmospheric sciences Moderate-Resolution Imaging Spectroradiometer 6S Normalized Difference Vegetation Index Bidirectional reflectance distribution function Reflectivity Advanced Very High Resolution Radiometer AERONET Remote sensing Optics Earth
267	Division of Engineering Science University of Toronto STA286 H1 S: Probability & Statistics Course Co-Coordinators and Instructors: Add to Reading List Source URL: probability.ca Language: English - Date: 2008-03-03 13:52:38 Probability theory Statistical theory Probability distribution Normal distribution Statistical parameter Moment-generating function Central limit theorem Log-normal distribution Characteristic function Statistics Mathematical analysis Probability and statistics
268	Calibrating a Non-isotropic Near Point Light Source using a Plane Jaesik Park1∗ Sudipta N. Sinha2 Yasuyuki Matsushita3 Yu-Wing Tai1 In So Kweon1 1 Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2014-11-24 18:40:02 Geometry 3D computer graphics Radiometry Virtual reality Blinn–Phong shading model Phong reflection model Rendering Specular highlight Bidirectional reflectance distribution function Computer graphics Shading Optics
269	Proceedings of ITC/ISHW2007 ICNTS - Benchmarking of Momentum Correction Techniques Add to Reading List Source URL: www.nifs.ac.jp Language: English - Date: 2013-09-30 21:28:06 Mechanics Momentum Motion Distribution function Physics Conservation laws Physical quantities
270	SPATIALLY ADAPTIVE SUPPORT AS A LEADING MODEL-SELECTION TOOL FOR IMAGE FILTERING Vladimir Katkovnik, Alessandro Foi, Kostadin Dabov, and Karen Egiazarian Department of Signal Processing, Tampere University of Technology Add to Reading List Source URL: sp.cs.tut.fi Language: English - Date: 2008-08-08 04:49:00 Estimation theory Image denoising Normal distribution Continuous function Statistics Mathematical analysis Adaptive estimator

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