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Errors-in-variables models
Results: 151

#	Item
111	International Statistical Review (2013), 81, 1, 134–150 doi:[removed]j[removed]00182.x A Review on Dimension Reduction Yanyuan Ma1 and Liping Zhu2 1 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-04-05 14:02:27 Sliced inverse regression Ordinary least squares Degrees of freedom Multivariate normal distribution Identifiability Normal distribution Covariance Linear regression Errors-in-variables models Statistics Regression analysis Sufficient dimension reduction
112	Statistica Sinica[removed]), [removed]ON CLOSED FORM SEMIPARAMETRIC ESTIMATORS FOR MEASUREMENT ERROR MODELS Yanyuan Ma and Anastasios A. Tsiatis Texas A&M University and North Carolina State Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-05-28 10:46:32 Errors-in-variables models Sufficient statistic Parametric model Efficient estimator Normal distribution Consistent estimator Completeness M-estimator Estimator Statistics Estimation theory Statistical theory
113	Biometrika (2012), 99, 2, pp. 423–438 C 2012 Biometrika Trust Printed in Great Britain doi: [removed]biomet/ass007 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2012-07-17 17:19:11 Estimation theory Quantile regression Normal distribution Q-Q plot Errors-in-variables models Estimator Maximum likelihood Correlation and dependence Linear regression Statistics Regression analysis Econometrics
114	Cure Rate Model With Mismeasured Covariates Under Transformation Yanyuan M A and Guosheng Y IN Cure rate models explicitly account for the survival fraction in failure time data. When the covariates are measured with err Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-08-21 11:13:22 Estimation theory Statistical models Parametric statistics Linear regression Errors-in-variables models Variance Proportional hazards models Normal distribution Statistical power Statistics Regression analysis Econometrics
115	Biometrika (2013), 100, 2, pp. 371–383 C 2013 Biometrika Trust Printed in Great Britain doi: [removed]biomet/ass075 Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-07-23 03:22:55 Sliced inverse regression Variance Sufficient dimension reduction Multivariate normal distribution Expected value Errors-in-variables models Theorems and definitions in linear algebra Statistics Regression analysis Ordinary least squares
116	Efficient estimation in sufficient dimension reduction Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-04-01 15:51:58 Econometrics Least squares Statistical theory Ordinary least squares Linear regression Errors-in-variables models Estimator Efficient estimator Semiparametric model Statistics Regression analysis Estimation theory
117	Statistica Sinica[removed]), [removed]CENSORED QUANTILE REGRESSION WITH COVARIATE MEASUREMENT ERRORS Yanyuan Ma and Guosheng Yin Texas A&M University and The University of Hong Kong Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2011-05-24 21:10:18 Quantile regression Linear regression Errors-in-variables models Normal distribution Quantile Standard error Bootstrapping Resampling Simple linear regression Statistics Regression analysis Econometrics
118	Quick and easy one-step parameter estimation in differential equations Peter Hall University of Melbourne and University of California, Davis and Yanyuan Ma Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2013-06-26 12:45:16 Estimation theory Statistical theory Least squares Normal distribution Maximum likelihood Errors-in-variables models Linear regression Statistics Regression analysis Econometrics
119	Locally Efficient Estimators for Semiparametric Models With Measurement Error Yanyuan M A and Raymond J. C ARROLL We derive constructive locally efficient estimators in semiparametric measurement error models. The settin Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-05-28 10:46:26 Econometrics Regression analysis Errors-in-variables models Bias of an estimator Linear regression Estimator Consistent estimator Efficient estimator Loss function Statistics Estimation theory Statistical theory
120	Testing the suitability of polynomial models in errors-in-variables problems Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-05-28 10:46:31 Statistical theory Parametric statistics Regression analysis Bootstrapping Errors-in-variables models Normal distribution Resampling T-statistic Consistent estimator Statistics Statistical inference Estimation theory

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