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331	CHAPTER TWO DEFINITION OF OBSERVER In this chapter we define the concept observer. The previous chapter introduced this notion by concrete examples. We now abstract from these examples a formal definition. We discuss th Add to Reading List Source URL: www.cogsci.uci.edu Language: English - Date: 1997-09-09 15:52:34 Probability theory Dirac measure Support Sigma-algebra Measurable function Measure Random variable Borel set Disintegration theorem Mathematical analysis Mathematics Measure theory
332	CHAPTER 3: Analyzing bilateral trade using the gravity equation A. Overview and learning objectives 103 Add to Reading List Source URL: vi.unctad.org Language: English - Date: 2012-06-21 05:26:23 International economics International relations Econometrics Regression analysis Statistical models Gravity model of trade Non-tariff barriers to trade Dummy variable Random effects model International trade Statistics Economics
333	Dependability and Reliability Add to Reading List Source URL: www.lsa.ethz.ch Language: English - Date: 2010-09-28 09:36:26 Measurement Survival analysis Knowledge Failure Reliability engineering Probability distribution Random variable Probability Cumulative distribution function Probability theory Probability and statistics Statistics
334	Analysis of classification possibility infrasound signals from different sources based on correlation ability N.D. Tsybulskaya S.N. Kulichkov Add to Reading List Source URL: www.ctbto.org Language: English - Date: 2011-06-29 08:18:10 Multivariate statistics Matrices Summary statistics Covariance matrix Covariance Multivariate random variable Matrix Normal distribution Cross-covariance Statistics Covariance and correlation Algebra of random variables
335	Corrective Explanation for Interactive Constraint Satisfaction ∗ Barry O’Sullivan, Barry O’Callaghan and Eugene C. Freuder Cork Constraint Computation Centre Department of Computer Science, University College Cork, Add to Reading List Source URL: www.ijcai.org Language: English - Date: 2005-07-11 16:51:00 Mathematical optimization Constraint satisfaction Random variable Computing Artificial intelligence Applied mathematics Constraint programming Constraint satisfaction problem Heuristic
336	Designing and Analyzing Randomized Experiments: Application to a Japanese Election Survey Experiment Yusaku Horiuchi Australian National University Kosuke Imai Princeton University Naoko Taniguchi Teikyo¯ University Add to Reading List Source URL: imai.princeton.edu Language: English - Date: 2013-02-15 08:55:44 Scientific method Randomized experiment Instrumental variable Random assignment Average treatment effect Causality Blocking Experiment Randomization Design of experiments Statistics Science
337	Two-Class Pattern Discrimination via Recursive Optimization of Patrick-Fisher Distance Mayer E. Aladjem Department of Electrical and Computer Engineering Ben-Gurion University of the Negev, P.O.B. 653, 84105 Beer-Sheva, Add to Reading List Source URL: www.ee.bgu.ac.il Language: English - Date: 2000-07-16 04:39:50 Multivariate statistics Probability theory Data analysis Linear discriminant analysis Statistical classification Normal distribution Symbol Principal component analysis Random variable Statistics Algebra Mathematics
338	Applying Random Coefficient Models to Strategy Research: Testing For Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs Juan Alcácer Add to Reading List Source URL: www.hbs.edu Language: English Econometrics Analysis of variance Statistical models Estimation theory Fixed effects model Dummy variable Random effects model Economic model Heterogeneity in economics Statistics Regression analysis Economics
339	Homework 7: Fun with Kernel Density Estimation[removed], Advanced Data Analysis Due at 10:30 am on Tuesday, 27 March[removed]A little theory (25 points total) R Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2012-03-20 23:18:56 Normal distribution Variance Kernel Gaussian function Random variable Density estimation Kernel regression Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation
340	Hindawi Publishing Corporation Abstract and Applied Analysis Volume 2013, Article ID[removed], 7 pages http://dx.doi.org[removed][removed]Research Article Add to Reading List Source URL: downloads.hindawi.com Language: English - Date: 2014-08-28 16:31:40 Random variable Randomness Mathematics Stochastic processes Information theory Central limit theorem Log-normal distribution Probability theory Statistics Probability and statistics

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