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Monte Carlo method
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331	rd PharmaSUG China 3 Conference, 2014 Calculation of Confidence Intervals for Relative Risk and Odds Ratio Using StatXact PROCs Add to Reading List Source URL: www.pharmasug.org Language: English - Date: 2014-09-01 22:25:13 Medical statistics Biostatistics Epidemiology Confidence interval Normal distribution Odds ratio Relative risk Exact test Monte Carlo method Statistics Statistical inference Hypothesis testing
332	FRAUNHOFER INSTITUTe FoR ALGORITHMs a N D S c ientifi c Com p uting S C A I Computer-Aided Robust Design Add to Reading List Source URL: www.scai.fraunhofer.de Language: English - Date: 2013-09-26 05:11:12 Mathematical sciences Mathematical optimization Simulation Monte Carlo method Robust optimization Optimal design OptiY Statistics Operations research Probability and statistics
333	Developing An Advanced Preference Share Simulator A Flexible and Scalable Approach using R and the Amazon Elastic Compute Cloud Charles Carpenter (RSG), Jeffrey Dumont (RSG), Nelson Whipple (RSG)  Background Add to Reading List Source URL: www.rsginc.com Language: English - Date: 2014-09-16 10:44:36 Bayesian statistics Graphical models Hierarchical Bayes model Cloud computing Utility computing Monte Carlo method Bioconductor Science Software Statistics
334	Development of an Approach to Assess Uncertainty in Terrestrial Critical Load and Exceedance Marta B. Wolniewicz and Julian Aherne Environmental and Resource Studies, Trent University Peterborough, Ontario, K9J 7B8 Add to Reading List Source URL: www.ccme.ca Language: English - Date: 2014-04-29 14:02:01 Air pollution Critical load Percentile Confidence interval Cumulative distribution function Soil Monte Carlo method Normal distribution Uncertainty Statistics Probability and statistics Measurement
335	Development of an Approach to Assess Uncertainty in Terrestrial Critical Load and Exceedance Marta B. Wolniewicz and Julian Aherne Environmental and Resource Studies, Trent University Peterborough, Ontario, K9J 7B8 Add to Reading List Source URL: www.ccme.ca Language: English - Date: 2014-04-03 17:00:50 Air pollution Critical load Percentile Confidence interval Cumulative distribution function Soil Monte Carlo method Normal distribution Uncertainty Statistics Probability and statistics Measurement
336	On sampling optimization based on mutual coherency criterion Md. Mafijul Islam Bhuiyan, University of Alberta, Edmonton, Canada [removed] Summary Add to Reading List Source URL: geoconvention.org Language: English - Date: 2014-06-08 22:33:44 Statistics Digital signal processing Sampling techniques Information theory Petroleum Compressed sensing Sampling Aliasing Monte Carlo method Signal processing Mathematics Applied mathematics
337	Junfei Xie, Yan Wan, Yi Zhou, University of North Texas Kevin Mills, James J. Filliben, NIST Yu Lei, University of Texas at Arlington Winter Simulation Conference, 2014  Add to Reading List Source URL: www.nist.gov Language: English - Date: 2014-12-09 11:15:06 Quality Design of experiments Educational research Industrial engineering Simulation Factorial experiment Monte Carlo method Regression analysis Fractional factorial design Statistics Science Statistical methods
338	Introduction to Monte Carlo Simulation About the Instructor Days :Thursday, January 29, 1:00 pm – 5:00 pm Friday, January 30, 8:00 am – Noon Add to Reading List Source URL: rams.org Language: English - Date: 2014-09-04 10:25:10 Systems engineering Engineering statistics Materials science Reliability engineering Survival analysis Monte Carlo method American Society for Quality Minitab Statistics Science Information Quality
339	MONTE CARLO EXPERIMENTS USING GRETL: A PRIMER LEE C. ADKINS Abstract. Monte Carlo simulations are a very powerful way to demonstrate the basic sampling properties of various statistics in econometrics. The free software Add to Reading List Source URL: larspsyll.files.wordpress.com Language: English - Date: 2011-03-24 10:38:08 Regression analysis Econometrics Gretl Stata SPSS Monte Carlo method Least squares Linear regression Instrumental variable Statistics Software Science
340	Interactive Uncertainty Analysis Pedro Szekely, Rajiv T. Maheswaran, Yu-Han Chang, Yan Wang, Huihui Cheng and Karan Singh Information Sciences Institute University of Southern California Add to Reading List Source URL: www.isi.edu Language: English - Date: 2012-01-05 19:52:07 Management Science Operations research Network theory Planning Monte Carlo method Program Evaluation and Review Technique Gantt chart Simulation Business Project management Technology

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