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Monte Carlo method
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471	MARKOV CHAIN MONTE CARLO METHOD APPLIED TO ROUNDING ZEROS OF COMPOSITIONAL DATA: FIRST APPROACH J. A. Martín-Fernández1 , J. Palarea-Albaladejo2 , J. Gómez-García3 Universitat de Girona, Departament d’Informàtica Add to Reading List Source URL: ima.udg.edu Language: English - Date: 2003-09-19 10:29:06 Imputation Expectation–maximization algorithm Average Standard deviation Compositional data Algorithm Missing data Gibbs sampling Variance Statistics Data analysis Estimation theory
472	THE JOURNAL OF CHEMICAL PHYSICS 127, 214107 共2007兲 A modified next reaction method for simulating chemical systems with time dependent propensities and delays David F. Andersona兲 Department of Mathematics, Univers Add to Reading List Source URL: www.math.wisc.edu Language: English - Date: 2010-05-25 15:03:02 Nuclear magnetic resonance Relaxation Gillespie algorithm Poisson process Statistics Stochastic processes Monte Carlo methods
473	Microsoft PowerPoint - Figures.ppt Add to Reading List Source URL: media.wiley.com Language: English - Date: 2010-02-18 13:11:46 Bayesian inference Bayesian probability Mathematical model Artificial neural network Estimation theory Monte Carlo method Prior probability Graphical model Bayesian network Statistics Bayesian statistics Probability and statistics
474	Monte Carlo Methods and Bayesian Computation with R Jim Albert Department of Mathematics and Statistics Bowling Green State University Add to Reading List Source URL: www.amstat.org Language: English - Date: 2012-11-02 09:21:46 Probabilistic complexity theory Bayesian statistics Monte Carlo method Numerical analysis Simulation Randomness Markov chain Monte Carlo Probability and statistics Statistics Applied mathematics
475	Monte Carlo simulation in MS Excel The Monte Carlo method is based on the generation of multiple trials to determine the expected value of a random variable. The basis of the method is provided by the following relations Add to Reading List Source URL: www.projectsmart.co.uk Language: English - Date: 2014-05-01 02:35:22 Randomness Probability theory Data analysis Statistical inference Normal distribution Monte Carlo method Kurtosis Standard deviation Skewness Statistics Probability and statistics Summary statistics
476	Combinatorial game Theory Jan. 9–Jan. 14 MEALS Breakfast (Buffet): 7:00–9:30 am, Sally Borden Building, Monday–Friday Lunch (Buffet): 11:30 am–1:30 pm, Sally Borden Building, Monday–Friday Dinner (Buffet): 5 Add to Reading List Source URL: www.birs.ca Language: English* - Date: 2011-01-18 12:54:03 Sprague–Grundy theorem Octal game Impartial game Disjunctive sum Monte Carlo method Misère Partisan game Beatty sequence Zero game Combinatorial game theory Mathematics Nim
477	June 20, 2014 BRADLEY P. CARLIN Oﬃce Address: MMC 303 Division of Biostatistics School of Public Health University of Minnesota Add to Reading List Source URL: www.biostat.umn.edu Language: English - Date: 2014-06-20 13:34:24 Change detection Wombling Graphical models Geostatistics Spatial analysis Markov chain Monte Carlo Bayes factor Empirical Bayes method Robust Bayes analysis Statistics Bayesian statistics Spatial data analysis
478	Adam M. Johansen ([removed]) Computer Intensive Statistics APTS[removed]Preliminary Material apts.ac.ukAcademyforPhDTraininginStatistics Add to Reading List Source URL: www2.warwick.ac.uk Language: English - Date: 2014-06-20 10:34:52 Monte Carlo method Bootstrapping Markov chain Sample size determination Pi Confidence interval Normal distribution Statistical power Statistics Statistical inference Resampling
479	JWBT702-Charnes Printer: Courier Westford April 9, 2012 Add to Reading List Source URL: media.wiley.com Language: English - Date: 2013-08-29 07:14:54 Mathematical modeling Operations research Mathematical finance Actuarial science Corporate finance Financial modeling Sensitivity analysis Monte Carlo method Analytica Mathematics Science Mathematical sciences
480	PDF Document Add to Reading List Source URL: www.ma.utexas.edu Language: English - Date: 2013-03-03 22:56:55 Statistical inference Psychometrics Design of experiments Prior probability Statistical hypothesis testing Monte Carlo method Statistics Probability and statistics Bayesian statistics

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