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Statistical parameter
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61	Confidentiality aspects of household panel surveys: the case study of Italian sample from EU-SILC Lucia Coppola* and Giovanni Seri* * Istat – Italian National Statistical Institute, 00184 Rome, Italy, {lcoppola, seri} Add to Reading List Source URL: www3.istat.it Language: English - Date: 2006-10-09 10:18:15 Sampling Demography Econometrics SILC Cohort study Economic model Parameter identification problem Microdata Cross-sectional data Statistics Survey methodology Censuses
62	Parameter-exploring Policy Gradients Frank Sehnkea , Christian Osendorfera , Thomas R¨ uckstießa , Alex Gravesa , Jan Petersc , J¨ urgen Schmidhubera,b a Add to Reading List Source URL: people.idsia.ch Language: English - Date: 2010-07-15 09:01:14 Statistical theory Statistics M-estimators Econometrics Science Engineering Maximum likelihood Estimation theory Dimensional analysis Measurement
63	Division of Engineering Science University of Toronto STA286 H1 S: Probability & Statistics Course Co-Coordinators and Instructors: Add to Reading List Source URL: probability.ca Language: English - Date: 2008-03-03 13:52:38 Probability theory Statistical theory Probability distribution Normal distribution Statistical parameter Moment-generating function Central limit theorem Log-normal distribution Characteristic function Statistics Mathematical analysis Probability and statistics
64	::opt:: 1.0 Add to Reading List Source URL: nmr.au.dk Language: English - Date: 2014-07-31 23:53:28 Scripting languages Statistical inference Econometrics Parameter Subroutines Mathematical optimization Confidence interval AS/400 Control Language Normal distribution Statistics Software engineering Computer programming
65	The Mathematics of Statistical Machine Translation: Parameter Estimation Peter E Brown* Stephen A. Della Pietra* Add to Reading List Source URL: anthology.aclweb.org Language: English - Date: 2010-06-14 19:59:37 Markov models Machine learning Statistical machine translation Estimation theory Language model Expectation–maximization algorithm Bitext word alignment Pattern theory Markov chain Statistics Statistical natural language processing Machine translation
66	Parameter Estimation of Generalized Exponential distribution using Markov Chain Monte Carlo Method for Informative set of priors Dr. Mahmood Alam Khan1 and Dr. Aijaz Ahmed Hakkak2 1 Add to Reading List Source URL: www.abhinavjournal.com Language: English - Date: 2013-12-17 06:28:00 Poisson processes Bayesian statistics Exponentials Exponential distribution Maximum likelihood Q-Q plot Normal distribution Bayes estimator Likelihood function Statistics Estimation theory Statistical inference
67	Introduction to Confidence Intervals and Limit Setting via APEX Center for Cosmology and Add to Reading List Source URL: hallaweb.jlab.org Language: English - Date: 2010-12-08 12:58:19 Statistical tests Statistical inference Normal distribution Nuisance parameter Maximum likelihood Likelihood function Statistical hypothesis testing Parameter Thomas Jefferson National Accelerator Facility Statistics Estimation theory Statistical theory
68	GoldSim and the Depleted Uranium Performance Assessment Evaluating Future Performance with Probabilistic Performance Assessment What is the EnergySolutions/Neptune Clive Add to Reading List Source URL: www.deq.utah.gov Language: English - Date: 2015-05-06 12:00:54 Statistical randomness Stochastic Depleted uranium Parameter Determinism Mathematics War Environment
69	Some Problems Connected with Statistical Inference D. R. Cox The Annals of Mathematical Statistics, Vol. 29, No. 2. (Jun., 1958), ppStable URL: http://links.jstor.org/sici?sici=%%2929%3A2%3C35 Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 20:01:08 Fiducial inference Confidence interval Interval estimation Nuisance parameter Behrens–Fisher problem Statistical hypothesis testing Confidence distribution Statistical power Prior probability Statistics Statistical inference Statistical theory
70	Statistics 580 The EM Algorithm Introduction The EM algorithm is a very general iterative algorithm for parameter estimation by maximum likelihood when some of the random variables involved are not observed i.e., conside Add to Reading List Source URL: www.cse.cuhk.edu.hk Language: English M-estimators Expectation–maximization algorithm Missing data Maximum likelihood Sufficient statistic Statistics Estimation theory Statistical theory