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Probability distributions
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#	Item
561	Statistics, Probability, Distributions, & Error Propagation James R. Graham[removed] Add to Reading List Source URL: ugastro.berkeley.edu Language: English - Date: 2010-08-12 13:41:57 Robust statistics Regression analysis Absolute deviation Mode Median Errors and residuals in statistics Arithmetic mean Nonparametric skew Standard deviation Statistics Means Summary statistics
562	Aggregate Loss Model A Quarter Century of Aggregate Loss Computations Random sum of non-negative iid random variables Add to Reading List Source URL: lx2.saas.hku.hk Language: English - Date: 2005-04-04 16:01:03 Poisson processes Probability distributions Actuarial science Generating functions (a b 0) class of distributions Negative binomial distribution Poisson distribution Geometric distribution Probability-generating function Statistics Probability theory Mathematical analysis
563	20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 RoseDist: Generalized Tool for Simulating with Non-Standard Probability Distributions Jonatha Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-11-19 22:01:34 Probability theory Randomness Actuarial science Copula Normal distribution Probability distribution Uniform distribution Variance Monte Carlo method Statistics Probability and statistics Mathematical analysis
564	BTE Publication Summary Marine Oil Spill Risk in Australia Report Oil spills are basically chance events, their occurrences and characteristics being governed by probability distributions. Many properties of these distri Add to Reading List Source URL: www.bitre.gov.au Language: English - Date: 2011-09-28 00:23:54 Hazards Ocean pollution Oil spill Petroleum Oil spill governance in the United States Soft matter Oil spills Matter
565	91586 Apply probability distributions in solving problems Add to Reading List Source URL: www.nzqa.govt.nz Language: English - Date: 2013-09-18 21:02:03 Data Probability distribution Statistics Probability Randomness Probability box Probability and statistics Information Science
566	Why use Probability Distributions Add to Reading List Source URL: www.warrenburt.com Language: English - Date: 2009-12-24 01:18:33 Probability and statistics Normal distribution Probability distribution Logistic distribution Skewness Mean Logistic map Logistic function Mode Statistics Mathematical analysis Probability theory
567	Fitting probability distributions to reliability data for calculation of STPIS values 29 May 2012 Add to Reading List Source URL: www.aer.gov.au Language: English - Date: 2012-08-27 17:52:49 Non-parametric statistics Kolmogorov–Smirnov test Normal distribution Anderson–Darling test T-statistic Reliability engineering Logistic distribution Statistics Statistical tests Normality tests
568	Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction Shay B. Cohen and Noah A. Smith Language Technologies Institute School of Computer Science Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2009-03-31 16:28:07 Estimation theory Bayesian statistics Statistical theory Bioinformatics Expectation–maximization algorithm Variational Bayesian methods Gamma distribution Multinomial distribution Dirichlet distribution Statistics Probability and statistics Statistical natural language processing
569	Markov Chain Monte Carlo With Mixtures of Mutually Singular Distributions Raphael G OTTARDO and Adrian E. R AFTERY Markov chain Monte Carlo (MCMC) methods for Bayesian computation are mostly used when the dominating meas Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2010-06-07 16:59:42 Markov models Markov chain Monte Carlo Probability distributions Measure theory Metropolis–Hastings algorithm Markov chain Gibbs sampling Mixture distribution Singular distribution Mathematical analysis Statistics Monte Carlo methods
570	A General Method for Approximating Nonlinear Transformations of Probability Distributions Simon Julier and Jerey K. Uhlmann Robotics Research Group Department of Engineering Science University of Oxford Add to Reading List Source URL: www.smpp.northwestern.edu Language: English - Date: 2001-09-14 13:39:08 Robot control Control theory Estimation theory Kalman filter Covariance Sample mean and sample covariance Variance Cholesky decomposition Normal distribution Statistics Linear filters Covariance and correlation

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