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Parametric model
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561	[removed] Add to Reading List Source URL: www.econ.hit-u.ac.jp Language: English - Date: 2011-03-29 00:54:23 Non-parametric statistics Econometrics Nonparametric regression Quantile regression Density estimation Conceptual model Semiparametric model Estimation theory Outline of regression analysis Statistics Regression analysis Statistical inference
562	Departament d’Estadística i I.O., Universitat de Val`encia. Facultat de Matem`atiques, 46100–Burjassot, Val`encia, Spain. Tel[removed], Fax[removed]direct), [removed]office) Add to Reading List Source URL: www.uv.es Language: English - Date: 2005-02-22 03:10:55 Exchangeable random variables Probability theory Estimation theory Parametric model Bayesian probability Sufficient statistic Statistics Statistical theory Bayesian statistics
563	Newsom USP 656 Multilevel Regression Winter 2013 Add to Reading List Source URL: www.upa.pdx.edu Language: English - Date: 2013-01-18 12:54:27 Econometrics Statistical models Parametric statistics Linear regression Random effects model F-test Fixed effects model Analysis of covariance Hierarchical linear modeling Statistics Analysis of variance Regression analysis
564	Is Germany‘s GDP Trend-Stationary? A Measurement-With-Theory Approach1 by Add to Reading List Source URL: www.wiso.uni-hamburg.de Language: English - Date: 2003-06-19 02:45:38 Econometrics Macroeconomics Parametric statistics Dickey–Fuller test Trend stationary Unit root Normal distribution KPSS test Neoclassical growth model Statistics Time series analysis Statistical tests
565	Reference Analysis Jos´e M. Bernardo 1 Departamento de Estad´ıstica e I.0., Universitat de Val`encia, Spain Add to Reading List Source URL: www.uv.es Language: English - Date: 2005-12-16 05:09:00 Bayesian statistics Statistical inference Parametric model Loss function Fisher information Inverse probability Likelihood function Prior probability Bayes estimator Statistics Statistical theory Estimation theory
566	8 Error analysis: jackknife & bootstrap As discussed before, it is no problem to calculate the expectation values and statistical error estimates of “normal” observables from Monte Carlo. However, often we have to Add to Reading List Source URL: cc.oulu.fi Language: English - Date: 2007-11-05 15:08:58 Non-parametric statistics Statistical tests Covariance and correlation Resampling Bootstrapping Propagation of uncertainty Standard error Variance Ising model Statistics Statistical inference Data analysis
567	PDF Document Add to Reading List Source URL: web.psych.unimelb.edu.au - Date: 2008-02-20 05:51:50 Econometrics Design of experiments Parametric statistics Analysis of covariance General linear model Dummy variable Multivariate analysis of variance Data analysis Two-way analysis of variance Statistics Analysis of variance Regression analysis
568	PDF Document Add to Reading List Source URL: www.stat.berkeley.edu Language: English - Date: 2003-07-19 11:02:35 Trigonometry Philosophical logic Mathematical sciences Science Symbol Statistical theory Parametric model Dutch book
569	PDF Document Add to Reading List Source URL: www.stat.duke.edu Language: English - Date: 2003-07-01 11:30:52 Mathematics Parametric model Statistical theory Trigonometric functions Mixture model Dispersion Statistics Statistical models Probability and statistics
570	PDF Document Add to Reading List Source URL: www.ssc.wisc.edu Language: English - Date: 2009-01-16 18:29:44 Gaussian function Positive-definite kernel Estimation theory Kernel Semiparametric model Variance Kernel regression Multivariate kernel density estimation Statistics Non-parametric statistics Kernel density estimation

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