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Point distribution model
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#	Item
11	Limit Laws for the Number of Groups formed by Social Animals under the Extra Clustering Model (Extended Abstract) Michael DRMOTA Institute for Discrete Mathematics and Geometry Technical University of Vienna Add to Reading List Source URL: www.dmg.tuwien.ac.at Language: English - Date: 2014-01-14 05:03:08 Inverse functions Combinatorics Factorial Number theory Probability-generating function Branch point Normal distribution Logarithm Methods of contour integration Mathematical analysis Mathematics Complex analysis
12	A Sequential Point Process Model and Bayesian Inference for Spatial Point Patterns with Linear Structures Jesper Møller & Jakob Gulddahl Rasmussen Department of Mathematical Sciences Aalborg University, Fredrik Bajersve Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2010-07-22 07:47:16 Markov chain Multivariate normal distribution Permutation Mixture distribution Standard deviation Statistics Data analysis Normal distribution
13	C e n t r e o f E xc e l l e n c e f o r Biosecurity Risk Anal y sis ML vs MRR: Weibull Parameter Estimation for Making Decisions Add to Reading List Source URL: cebra.unimelb.edu.au Language: English - Date: 2015-03-15 20:34:08 Proportional hazards models Reliability engineering Regression analysis Maximum likelihood Point estimation Exponentiated Weibull distribution Accelerated failure time model Statistics Survival analysis Weibull distribution
14	Point and interval forecasts of age-specific life expectancies: A model averaging approach Add to Reading List Source URL: www.demographic-research.org Language: English - Date: 2012-11-07 06:39:01 Population Data analysis Statistical forecasting Forecasting Life expectancy Life table Principal component analysis Normal distribution Regression analysis Statistics Actuarial science Demography
15	Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks Øivind Skare∗, Jesper Møller†, Eva B. Vedel Jensen‡ ABSTRACT: A model for an inhomogeneous Poisson process with high intensity Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2006-01-10 11:19:08 Computational geometry Diagrams Discrete geometry Voronoi diagram Point process Normal distribution Markov chain Poisson process Siméon Denis Poisson Statistics Stochastic processes Markov processes
16	Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data Jesper Møller, Mohammad Ghorbani and Ege Rubak Department of Mathematical Sciences, Aalborg University jm@mat Add to Reading List Source URL: people.math.aau.dk Language: English - Date: 2014-08-22 05:51:25 Stochastic processes Poisson processes Statistical models Maximum likelihood Exponential distribution Parametric model Normal distribution Likelihood function Point process Statistics Estimation theory Statistical theory
17	Metering Code Model Service Level Agreement Introduction and Consultative Process Report Metering Code Model Service Level Agreement Introduction and Consultative Process Report Add to Reading List Source URL: www.horizonpower.com.au Language: English - Date: 2015-04-21 13:12:18 Metrology Engineering Automatic meter reading Meter Point Administration Number Calibration Synergy Email Technology Electric power distribution Measurement
18	A Pattern Test for Distinguishing Between Autoregressive and Mean-Shift Data WAYNE A. TAYLOR Baxter Healthcare Corporation, Round Lake, IL[removed]Statistical methods such as control charts and change-point analysis are co Add to Reading List Source URL: www.variation.com Language: English - Date: 2014-12-31 23:27:20 Noise Autoregressive model Normal distribution Autocorrelation Covariance Durbin–Watson statistic Autoregressive–moving-average model Statistics Time series analysis Covariance and correlation
19	LNCS[removed]Segmentation of the Right Ventricle Using Diffusion Maps and Markov Random Fields Add to Reading List Source URL: www.cs.bris.ac.uk Language: English - Date: 2014-11-14 18:06:20 Mathematics Segmentation Multivariate statistics Point distribution model Graph cuts in computer vision Topology Active appearance model Manifold Principal component analysis Computer vision Statistics Image processing
20	Structured Determinantal Point Processes Alex Kulesza Ben Taskar Department of Computer and Information Science University of Pennsylvania Philadelphia, PA 19104 Add to Reading List Source URL: homes.cs.washington.edu Language: English - Date: 2013-04-28 17:51:55 Formal languages Constructible universe Normal distribution Interpretation Eigenvalues and eigenvectors Function Determinantal point process Static single assignment form Mathematics Algebra Model theory

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