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Errors-in-variables models
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11	MEMORANDUM NoPersistence, Signal-Noise Pattern and Heterogeneity in Panel Data: With an Application to the Impact of Foreign Add to Reading List Source URL: www.sv.uio.no Language: English Data analysis Probability theory Variance Errors-in-variables models Endogeneity Statistics Econometrics Economics
12	0.1 normal: Normal Regression for Continuous Dependent Variables The Normal regression model is a close variant of the more standard least squares regression model (see Section ??). Both models specify a continuous depe Add to Reading List Source URL: perso.md2t.eu Language: English - Date: 2011-03-08 17:52:46 Statistical models Actuarial science Estimation theory Linear regression Dummy variable Least squares Errors and residuals in statistics Normal distribution Heteroscedasticity Statistics Regression analysis Econometrics
13	Journal of Econometrics–280 Contents lists available at SciVerse ScienceDirect Journal of Econometrics journal homepage: www.elsevier.com/locate/jeconom Add to Reading List Source URL: www.cemfi.es Language: English - Date: 2015-01-12 04:13:03 Regression analysis Economics Generalized method of moments Identifiability Instrumental variable Errors-in-variables models Estimation theory Econometrics Statistics
14	Curriculum Vitae Last updatedYINGYAO HU 胡颖尧 Add to Reading List Source URL: www.econ2.jhu.edu Language: English - Date: 2015-06-15 14:00:51 Regression analysis Fellows of the Econometric Society Statistical models Errors-in-variables models Instrumental variable Arthur Lewbel Heterogeneity in economics Linear regression Statistics Econometrics Economics
15	LINSTAT – IWMS’2012 Będlewo, Poland, 16–20 July 2012, http://linstat2012.au.poznan.pl/ Sunday, :00 – 19:00 – Registration Add to Reading List Source URL: www.sis.uta.fi Language: English - Date: 2012-08-09 08:24:55 Optimal design Partial least squares regression Mixed model General linear model Resampling Generalized linear model Estimation of covariance matrices Errors-in-variables models Principal component analysis Statistics Regression analysis Linear regression
16	Exercise 1 (A streaming algorithm for the second moment of the frequencies). We are given a stream of numbers x1 , . . . , xn ∈ {0, . . . , m − 1} and we want to compute the sum of the squares of the frequencies of Add to Reading List Source URL: www.liafa.univ-paris-diderot.fr Language: English - Date: 2015-01-19 07:51:43 Probabilistic complexity theory Randomized algorithm Logarithm Applied mathematics Computational complexity theory Errors-in-variables models Normal distribution Theoretical computer science Mathematics Analysis of algorithms
17	Exercise 1 (Missing element & distinct elements). Assume we are reading a stream of n distinct integers in {1, . . . , n + 1}. I Question 1.1) Assume first that all of the elements in the stream are indeed distinct ele Add to Reading List Source URL: www.liafa.univ-paris-diderot.fr Language: English - Date: 2015-01-22 08:15:45 Mathematics Measure theory Support Randomized algorithm Independence Variance Expected value Errors-in-variables models Convergence of random variables Mathematical analysis Statistics Probability theory
18	Chapter 1 Rise of the Machines Larry Wasserman On the 50th anniversary of the Committee of Presidents of Statistical Societies I reflect on the rise of the field of Machine Learning and what it means Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-02-16 16:55:39 Machine learning Expectation–maximization algorithm Errors-in-variables models Estimator Kernel density estimation M-estimator Minimax estimator Statistics Estimation theory Maximum likelihood
19	Errors in Hydrological Variables and Their Effect on Model Parameters Add to Reading List Source URL: www.mssanz.org.au Language: English - Date: 2013-01-15 17:49:56 Non-parametric statistics Statistical tests Statistical models Linear regression Variance Errors-in-variables models Resampling Errors and residuals in statistics Nonparametric regression Statistics Regression analysis Econometrics
20	Improved Estimation for June Area Survey Incorporating Several Information Jae-Kwang Kim Department of Statistics, Iowa State University, Ames, IA 50011, USA Email: Zhengyuan Zhu* Department of Statistic Add to Reading List Source URL: www.statistics.gov.hk Language: English - Date: 2013-08-22 04:39:19 Missing data Econometrics Regression analysis Data analysis Errors-in-variables models Imputation Information Statistics Science