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Random variable
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#	Item
251	COMP2610/COMP6261 - Information Theory Lecture 10: Typicality and Approximate Equipartition Mark Reid and Aditya Menon Research School of Computer Science The Australian National University Add to Reading List Source URL: mark.reid.name Language: English - Date: 2015-03-10 00:10:59 Randomness Science Communication Information Age Coin flipping Statistical ensemble Random variable Typical set Measurement Probability theory Probability and statistics Information theory
252	Statistics 1 for AQA contents 1 Review: collecting and processing data A Experiment or survey 6 Add to Reading List Source URL: www.smpmaths.org.uk Language: English - Date: 2007-01-31 12:01:49 Data analysis Parametric statistics Variance Normal distribution Random variable Probability distribution Standard deviation Expected value Moment Statistics Probability and statistics Probability theory
253	Random Forests for the Social Sciences Zachary Jones and Fridolin Linder∗ Abstract Machine learning techniques gain in popularity in many disciplines and increased computational power allows for easy implementation of Add to Reading List Source URL: zmjones.com Language: English - Date: 2015-04-12 13:23:45 Decision tree learning Resampling Least squares Ordinary least squares Variance Degrees of freedom Random variable Bootstrapping Errors and residuals in statistics Statistics Regression analysis Random forest
254	Y:/workspace/work/research/papers/icra10[removed]submission/paper.dvi Add to Reading List Source URL: msl.cs.uiuc.edu Language: English - Date: 2011-10-14 01:48:20 Science Probability theory Bayesian inference Statistical forecasting Statistical inference Random variable Causality Probability Modal logic Statistics Logic Probability and statistics
255	The Entity-Property-Relationship Approach to Statistics: An Introduction for Students Donald B. Macnaughton* This paper describes the “entity-property-relationship” approach to science and statistics at a Add to Reading List Source URL: www.matstat.com Language: English - Date: 1997-11-15 15:28:48 Variables Design of experiments Econometrics Multivariate statistics Instrumental variable Causality Random variable Dependent and independent variables Plot Statistics Mathematics Regression analysis
256	Exact Bounds on Finite Populations of Interval Data Scott Ferson1 , Lev Ginzburg1 , Vladik Kreinovich2 , Luc Longpr´e, and Monica Aviles2 1 Add to Reading List Source URL: www.cs.utep.edu Language: English - Date: 2004-09-23 18:04:54 Summary statistics Variance Interval arithmetic Standard deviation Random variable Correlation and dependence Measure Normal distribution Prediction interval Statistics Data analysis Probability theory
257	Interval-Valued and Fuzzy-Valued Random Variables: From Computing Sample Variances to Computing Sample Covariances Jan B. Beck1 , Vladik Kreinovich1 , and Berlin Wu2 1 2 Add to Reading List Source URL: www.cs.utep.edu Language: English - Date: 2004-04-18 13:14:58 Probability theory Statistical dependence Summary statistics Interval arithmetic Variance Random variable Covariance Confidence interval Correlation and dependence Statistics Covariance and correlation Data analysis
258	Online Appendix for An Empirical Evaluation of Explanations for State Repression∗ Daniel W. Hill, Jr.† and Zachary M. Jones‡ Stability of Random Forest Results The random forest algorithm used has two main tuning p Add to Reading List Source URL: zmjones.com Language: English - Date: 2015-04-02 22:01:06 Econometrics Statistical inference Regression analysis Random variable Bootstrapping Random forest Missing data Imputation Variance Statistics Data analysis Probability theory
259	STAT 538 Homework 4 Out February 10, 2015 Due February 17 ,2015 c Marina Meil˘a Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2015-02-16 20:12:32 Operations research Graphical models Regression analysis Function Linear programming Belief propagation Variable Random variable FO Mathematics Elementary mathematics Probability theory
260	FACULTEIT ECONOMIE EN BEDRIJFSKUNDE TWEEKERKENSTRAAT 2 B-9000 GENT Tel. Fax. Add to Reading List Source URL: www.feb.ugent.be Language: English - Date: 2012-09-09 17:15:49 Econometrics Statistical models Customer attrition Data mining Logistic regression Churn Random forest Markov model Dummy variable Statistics Regression analysis Business intelligence

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