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Likelihood function
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171	Web Appendix for paper: The IMF, Domestic Public Sector Banks and Currency Crises in Developing States; By: Bumba Mukherjee Pennsylvania State University Add to Reading List Source URL: www.bumbamukherjee.com Language: English - Date: 2012-11-11 18:31:14 Normal distribution Econometrics Single equation methods Probit model Probit Likelihood function Maximum likelihood International Monetary Fund Multivariate normal distribution Statistics Regression analysis Estimation theory
172	The Annals of Statistics 2003, Vol. 31, No. 4, 1110–1139 © Institute of Mathematical Statistics, 2003 LARGE SAMPLE THEORY FOR SEMIPARAMETRIC REGRESSION MODELS WITH TWO-PHASE, OUTCOME Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 M-estimators Statistical models Maximum likelihood Fisher information Parametric model Sinc function Statistics Estimation theory Statistical theory
173	A multidimensial mixture model for unsupervised tail estimation Note no Add to Reading List Source URL: sfi.nr.no Language: English - Date: 2012-09-19 01:20:58 Statistical models Probability theory Estimation theory M-estimators Normal distribution Maximum likelihood Cumulative distribution function Pareto distribution Mixture model Statistics Probability and statistics Probability
174	The Annals of Statistics 2001, Vol. 29, No. 6, 1699–1731 LIKELIHOOD RATIO TESTS FOR MONOTONE FUNCTIONS By Moulinath Banerjee1 and Jon A. Wellner2 University of Michigan and University of Washington Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Statistical theory M-estimators Regression analysis Maximum likelihood Convex function Least squares Likelihood function Normal distribution Monotonic function Statistics Mathematical analysis Estimation theory
175	The Annals of Statistics 2001, Vol. 29, No. 6, 1620–1652 A CANONICAL PROCESS FOR ESTIMATION OF CONVEX FUNCTIONS: THE “INVELOPE” OF INTEGRATED BROWNIAN MOTION + t4 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Estimation theory M-estimators Convex function Derivative Maximum likelihood Envelope Continuous function Mathematical analysis Mathematics Convex analysis
176	Discriminative Fields for Modeling Spatial Dependencies in Natural Images Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Add to Reading List Source URL: www.cs.iastate.edu Language: English - Date: 2004-09-12 21:34:08 Discriminative model Hidden Markov model Generalized linear model Maximum likelihood Statistical model Statistical classification Logistic function Mixture model Perceptron Statistics Machine learning Conditional random field
177	Journal of Scientific Exploration, Vol. 6, No. 1, pp, 92 © 1992 Society for Scientific Exploration On the Bayesian Analysis of REG Data Add to Reading List Source URL: www.princeton.edu Language: English - Date: 2010-11-03 02:50:25 Statistical inference P-value Bayesian inference Statistical hypothesis testing Prior probability Statistical power Posterior probability Confidence interval Likelihood function Statistics Bayesian statistics Hypothesis testing
178	The Annals of Statistics 2001, Vol. 29, No. 6, 1653–1698 ESTIMATION OF A CONVEX FUNCTION: CHARACTERIZATIONS AND ASYMPTOTIC THEORY By Piet Groeneboom, Geurt Jongbloed and Jon A. Wellner1 Add to Reading List Source URL: www.stat.washington.edu Language: English - Date: 2005-03-10 06:02:03 Mathematical analysis Statistical inference Econometrics Regression analysis Maximum likelihood Convex function Asymptotic theory Least squares Estimator Statistics Estimation theory Statistical theory
179	Introduction to Event History Analysis Ulrich Pötter Götz Rohwer August 2007 Add to Reading List Source URL: www.stat.ruhr-uni-bochum.de Language: English - Date: 2014-02-26 08:39:05 Survival analysis Econometrics Parametric statistics Kaplan–Meier estimator Empirical distribution function Linear regression Maximum likelihood Consistent estimator Nelson–Aalen estimator Statistics Estimation theory Regression analysis
180	Approximate Bayesian computation for the parameters of PRISM programs James Cussens Department of Computer Science & York Centre for Complex Systems Analysis University of York Heslington, York, YO10 5DD, UK. . Add to Reading List Source URL: www.cs.york.ac.uk Language: English - Date: 2010-08-26 11:15:09 Bayesian statistics Econometrics Expectation–maximization algorithm Missing data Maximum likelihood Confidence interval Gamma distribution Likelihood function Hidden Markov model Statistics Estimation theory Statistical theory

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