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Sampling distribution
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#	Item
271	Sex, Lies and Cyber-crime Surveys Dinei Florencio and Cormac Herley ˆ Microsoft Research One Microsoft Way Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-06-21 12:54:31 Means Survey methodology Market research Stratified sampling Sample size determination Confidence interval Median Opinion poll Pareto distribution Statistics Sampling Measurement
272	Judgment and Decision Making, Vol. 6, No. 3, April 2011, pp. 211–221 Contingency inferences driven by base rates: Valid by sampling Florian Kutzner∗ Tobias Vogel† Add to Reading List Source URL: journal.sjdm.org Language: English - Date: 2011-04-30 09:35:19 Statistical dependence Data analysis Contingency table Validity Sample size determination Frequency distribution Statistical power Statistics Categorical data Psychometrics
273	Main Points 1) Introduction to occupancy modeling -- imperfect observation in ecological sampling -- modeling detections with the binomial distribution Add to Reading List Source URL: www.jakegoheen.com Language: English - Date: 2014-10-24 13:57:23 Pocket gopher Quantum measurement
274	1 1 What is Monte Carlo? 1.1 Introduction Add to Reading List Source URL: media.wiley.com Language: English - Date: 2009-11-03 04:07:00 Mathematics Stochastic Importance sampling Pseudorandomness Equation of State Calculations by Fast Computing Machines Variance reduction Normal distribution Monte Carlo methods in finance Markov chain Monte Carlo Monte Carlo methods Statistics Probability and statistics
275	Efficient BRDF Importance Sampling Using A Factored Representation Jason Lawrence∗ Princeton University Szymon Rusinkiewicz† Princeton University Add to Reading List Source URL: www.cs.virginia.edu Language: English - Date: 2006-10-08 13:11:27 Mathematics Monte Carlo methods Statistics Astrophysics Radiometry Bidirectional reflectance distribution function Rendering Light field Importance sampling 3D computer graphics Algebra Optics
276	Confidence Intervals for Quantiles When Applying Variance-Reduction Techniques Fang Chu1 Marvin K. Nakayama2 Add to Reading List Source URL: www-old.newton.ac.uk Language: English - Date: 2013-02-25 08:47:21 Statistical inference Normal distribution Measurement Quantile Importance sampling Control variates Confidence interval Statistics Monte Carlo methods Summary statistics
277	Following the example of Mayo (1985), we are sampling from a population of fish, or more properly, of fish lengths. A fish’s length, in inches, may be represented by variable X; that is, to each fish a value of X (lik Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-11-26 18:27:20 Design of experiments Statistical inference Statistical hypothesis testing Statistical power Normal distribution F-test Size Null hypothesis Type I and type II errors Statistics Hypothesis testing Statistical tests
278	LASSO REGRESSION: ESTIMATION AND SHRINKAGE VIA LIMIT OF GIBBS SAMPLING By Bala Rajaratnam Steven Roberts Doug Sparks Add to Reading List Source URL: statistics.stanford.edu Language: English - Date: 2015-01-08 15:11:00 Econometrics Parametric statistics Mathematical optimization Linear regression Least squares Gibbs sampling Multicollinearity Normal distribution Lasso Statistics Regression analysis Estimation theory
279	Eurographics Symposium on Rendering[removed]Kavita Bala, Philip Dutré (Editors) Adaptive Numerical Cumulative Distribution Functions for Efficient Importance Sampling Jason Lawrence Add to Reading List Source URL: www.cs.berkeley.edu Language: English - Date: 2008-09-08 15:30:00 Non-uniform random numbers Computational statistics Inverse transform sampling Monte Carlo integration Cumulative distribution function Rejection sampling Probability distribution Importance sampling Sampling Monte Carlo methods Statistics Probability and statistics
280	Mixed Graphical Models via Exponential Families Eunho Yang∗ ∗ Yulia Baker† Add to Reading List Source URL: jmlr.org Language: English - Date: 2014-04-14 20:16:23 Graphical models Theoretical computer science Exponentials Statistical models Markov random field Normal distribution Exponential family Gibbs sampling Conditional random field Statistics Probability and statistics Statistical theory

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