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Errors and residuals
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#	Item
21	Evolution Meetings poster Add to Reading List Source URL: www.faculty.biol.ttu.edu Language: English - Date: 2004-04-29 15:02:54 Statistics Regression analysis Estimation theory Actuarial science Statistical theory Archaeopteryx Linear regression Morphometrics Imputation Prediction Errors and residuals Quetzalcoatlus
22	Initial Results Using WRF 3DVAR In MM5 Applications D. M. Barker, A.J. Bourgeois, Y.-R. Guo, W. Huang and Q.-N. Xiao National Center for Atmospheric Research, P. O. Box 3000, Boulder, COIntroduction Add to Reading List Source URL: www2.mmm.ucar.edu Language: English - Date: 2003-03-05 13:57:25 Atmospheric sciences Prediction Statistics Statistical forecasting Estimation theory Control theory Data assimilation Weather forecasting MM5 Forecasting National Weather Service Errors and residuals
23	Let’s Put Garbage—Can Regressions and Garbage—Can Probits Where They Belong Christopher H. Achen Department of Politics Princeton University Princeton, NJ 08544 Add to Reading List Source URL: www.columbia.edu Language: English - Date: 2005-02-22 11:15:17 Statistics Regression analysis Linear regression Probit Ordinary least squares Dependent and independent variables Errors and residuals General linear model Econometrics Dummy variable Multinomial logistic regression
24	An Estimate of the Liquidity Premium Add to Reading List Source URL: www.econ.ohio-state.edu Language: English - Date: 2012-01-12 12:02:16 Statistics Regression analysis Fixed income market Yield curve Summary statistics Normal distribution Variance Interest rate Liquidity premium Heteroscedasticity Standard deviation Errors and residuals
25	Residual-augmented IVX predictive regression Matei Demetrescu∗ Christian-Albrechts-University of Kiel Paulo M. M. Rodrigues† Banco de Portugal and Universidade Nova de Lisboa December 29, 2015 Add to Reading List Source URL: www.cb.cityu.edu.hk Language: English - Date: 2016-07-08 02:27:17 Statistics Regression analysis Linear regression Errors and residuals Instrumental variable T-statistic Heteroscedasticity Bias of an estimator Autocorrelation Volatility Unit root
26	On high-dimensional robust regression How to pick the loss in high-dimensional regression? Noureddine El Karoui joint with Bean, Bickel, Lim, Yu Department of Statistics Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:29:59 Statistics Regression analysis Estimation theory Statistical theory Parametric statistics Linear regression Robust regression Normal distribution Degrees of freedom Errors and residuals
27	Microsoft Word - OnlineAppendix_1_15_09.doc Add to Reading List Source URL: eml.berkeley.edu Language: English - Date: 2009-01-16 12:38:37 Statistics Regression analysis Estimation theory Statistical theory Statistical inference Observational study Propensity score matching Median Errors and residuals Standard deviation Statistical hypothesis testing Fixed effects model
28	Supplement of SOIL, 2, 351–366, 2016 http://www.soil-journal.netdoi:soilsupplement © Author(sCC Attribution 3.0 License. SOIL Add to Reading List Source URL: www.soil-journal.net Language: English - Date: 2016-07-22 05:28:28 Statistics Statistical theory Statistical tests Measurement Design of experiments Statistical inference Analysis of variance Errors and residuals R One-way analysis of variance Confidence interval Normal distribution
29	Microsoft Word - ILRS ITRF2014 description.docx Add to Reading List Source URL: itrf.ign.fr Language: English - Date: 2016-07-20 03:04:02 Statistics Regression analysis Statistical theory Least squares Estimation theory Parametric statistics LAGEOS Ordinary least squares Errors and residuals Joint Combined Exchange Training Covariance Degrees of freedom
30	Mechanical Measurements Hsin-yu Shan Dept. of Civil Eng., NCTU Standard Add to Reading List Source URL: www.cv.nctu.edu.tw Language: English - Date: 2006-11-09 02:46:08 Measurement Knowledge Science Statistics Observational error Sensor Errors and residuals Error Calibration Audio bit depth Control theory Accuracy and precision