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Point estimation
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221	Bayesian Spatial Modeling of Data from Avian Point Count Surveys Raymond A. W EBSTER , Kenneth H. P OLLOCK, and Theodore R. S IMONS We present a unified framework for modeling bird survey data collected at spatially rep Add to Reading List Source URL: www4.ncsu.edu Language: English - Date: 2008-06-06 11:09:57 Statistical theory Statistical models Estimation theory Cluster analysis Machine learning Mixture model Maximum likelihood Markov chain Statistics Information Science
222	International Journal of Electronics Communication and Computer Engineering Volume 5, Issue 2, ISSN (Online): 2249–071X, ISSN (Print): 2278–4209 Estimated SW Costing by using FPA in Early Phase of SW Development Saim Add to Reading List Source URL: ijecce.org Language: English - Date: 2014-04-18 10:01:22 Information technology management Software development effort estimation Software project management Software sizing COCOMO Function point Cost estimation in software engineering Estimation Software development process Software metrics Software development Project management
223	Likelihood-Based Inferences under Isolation by Distance: Two-Dimensional Habitats and Confidence Intervals Fran¸cois Rousset∗,1 and Rapha¨el Leblois2 1 Institut des Sciences de l’Evolution (UM2-CNRS), Universit´e Add to Reading List Source URL: raphael.leblois.free.fr Language: English - Date: 2012-12-30 05:41:41 Maximum likelihood Coalescent theory Likelihood-ratio test Estimator Point estimation M-estimator Bias of an estimator Likelihood Parameter Statistics Estimation theory Likelihood function
224	Point pattern analysis with Past Øyvind Hammer, Natural History Museum, University of Oslo, [removed]Introduction A point pattern is a distribution of points in space. We will focus on two-dimensional patterns. We Add to Reading List Source URL: nhm2.uio.no Language: English - Date: 2011-05-03 15:21:53 Poisson processes Point pattern analysis Siméon Denis Poisson Normal distribution Gaussian function Kernel density estimation Exponential distribution Confidence interval Statistics Exponentials Spatial data analysis
225	Application of SeDDaRA Blind Deconvolution for Efficient Improvement of Confocal Microscopy Images Dr. James N. Caron Quarktet, 205 Indian Spring Drive, Silver Spring, MD 20901, U.S.A. http://www.Quarktet.com Add to Reading List Source URL: www.quarktet.com Language: English - Date: 2011-02-02 17:33:56 Optics Science Blind deconvolution Deconvolution Microscopy Point spread function Applied mathematics Confocal microscopy Chemistry Signal processing Image processing Estimation theory
226	Bayesian Treaty Monitoring: Preliminary Report [removed]Bayesian Treaty Monitoring: Preliminary Report Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2011-11-30 18:34:29 Statistical inference Statistical models Estimation theory Bayesian inference Mixture model Seismic inversion Point estimation Prior probability Graphical model Statistics Bayesian statistics Statistical theory
227	BLIND IMAGE DECONVOLUTION: MOTION BLUR ESTIMATION By Felix Krahmer, Youzuo Lin, Bonnie McAdoo Katharine Ott, Jiakou Wang, David Widemann and Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:32:49 Gaussian function Fourier analysis Integral transforms Signal processing Cepstrum Radon transform Point spread function Deconvolution Trigonometric functions Mathematical analysis Mathematics Image processing
228	STRATIFICATION LEARNING: DETECTING MIXED DENSITY AND DIMENSIONALITY IN HIGH DIMENSIONAL POINT CLOUDS By Gloria Haro Gregory Randall Add to Reading List Source URL: ima.umn.edu Language: English - Date: 2011-10-06 10:32:50 Machine learning Differential topology Expectation–maximization algorithm Missing data Mixture model Manifold Maximum likelihood Statistics Estimation theory Cluster analysis
229	1-Point RANSAC for EKF-Based Structure from Motion Javier Civera, Oscar G. Grasa, Andrew J. Davison and J. M. M. Montiel Abstract— Recently, classical pairwise Structure From Motion (SfM) techniques have been combined Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2009-08-04 05:46:24 Estimation theory Electronic engineering Surveying Robust statistics RANSAC Linear filters Extended Kalman filter Kalman filter EKF SLAM Statistics Technology Robot control
230	Primitive lattice points in planar domains Roger C. Baker §1 Introduction. Let D be a compact convex set in R2 , containing 0 as an interior point, having a smooth boundary curve C with nowhere vanishing curvature. How Add to Reading List Source URL: www.math.byu.edu Language: English - Date: 2009-02-27 15:59:30 Estimation theory M-estimator Robust regression Symbol Differential geometry Orbifold Statistics Mathematical analysis Mathematics

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