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Sampling distribution
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181	British Standards Institution Study Day Detecting a single event Martin Bland Prof. of Health Statistics University of York Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2013-07-02 09:28:59 Sampling Confidence interval Econometrics Market research Sample size determination Standard error Statistical power Binomial distribution Binomial proportion confidence interval Statistics Measurement Statistical inference
182	egu_logo_without_circle_grey Add to Reading List Source URL: www.atmos-meas-tech.net Language: English - Date: 2014-12-03 11:43:11 Data analysis Summary statistics Statistical theory Standard error Sampling distribution Sample Resampling Estimation theory Errors and residuals in statistics Statistics Statistical inference Sampling
183	Estimation Preliminary: the Normal distribution Many statistical methods are only valid if we can assume that our data follow a distribution of a particular type, called the Normal distribution. Many naturally occurring Add to Reading List Source URL: www-users.york.ac.uk Language: English - Date: 2009-01-19 11:14:13 Statistical inference Statistical theory Sampling Standard error Confidence interval Normal distribution Standard deviation Variance Sample size determination Statistics Data analysis Measurement
184	Part A Simulation and Statistical Programming, HT 2015 Simulation lectures Matti Vihola March 9, 2015 Add to Reading List Source URL: www.stats.ox.ac.uk Language: English - Date: 2015-03-09 12:17:45 Probability theory Normal distribution Central limit theorem Multivariate normal distribution Cumulative distribution function Importance sampling Independence Random variable Uniform distribution Statistics Mathematical analysis Mathematics
185	1 Supporting Australian Mathematics Project Add to Reading List Source URL: www.amsi.org.au Language: English - Date: 2013-11-06 00:06:11 Summary statistics Sampling Probability theory Mode Sample Variance Normal distribution Standard deviation Mean Statistics Statistical inference Data analysis
186	1 Supporting Australian Mathematics Project Add to Reading List Source URL: www.amsi.org.au Language: English - Date: 2013-11-06 00:06:15 Randomness Probability and statistics Market research Simple random sample Sample Random sample Random variable Normal distribution Uniform distribution Statistics Sampling techniques Sampling
187	MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors Add to Reading List Source URL: www.merl.com Language: English - Date: 2013-07-26 17:37:03 Signal processing Mathematics Electronics Noise Information theory Quantization Normal distribution Analog-to-digital converter Nyquist–Shannon sampling theorem Digital signal processing Digital audio Applied mathematics
188	Learning Stochastic OT Grammars: A Bayesian approach using Data Augmentation and Gibbs Sampling Ying Lin∗ Department of Linguistics University of California, Los Angeles Los Angeles, CA 90095 Add to Reading List Source URL: dingo.sbs.arizona.edu Language: English - Date: 2005-05-03 02:03:46 Markov chain Monte Carlo Markov models Estimation theory Gibbs sampling Normal distribution Maximum likelihood Optimality theory Sampling distribution Random variable Statistics Statistical theory Probability and statistics
189	A∗ Sampling Chris J. Maddison Dept. of Computer Science University of Toronto Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2015-01-26 10:22:24 Monte Carlo methods Slice sampling Poisson processes Gumbel distribution Gibbs sampling Exponential distribution Estimation theory Order statistic Rejection sampling Statistics Markov chain Monte Carlo Non-uniform random numbers
190	When are probabilistic programs probably computationally tractable? Cameron E. Freer Univ. of Hawai‘i at M¯anoa Add to Reading List Source URL: web.mit.edu Language: English - Date: 2011-01-31 01:40:47 Monte Carlo methods Computational statistics Statistical models Markov chain Monte Carlo Bayesian inference Gibbs sampling Normal distribution Posterior probability Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory

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