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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 23

Monographie

Toutenburg, Helge und Shalabh (2009): Statistical Analysis of Designed Experiments. New York: Springer.

Zeitschriftenartikel

Shalabh; Garg, Gaurav und Heumann, Christian (2012): Performance of Double k-class Estimators for Coefficients in Linear Regression Models with Non Spherical Disturbances under Asymmetric Losses. In: Journal of Multivariate Analysis, Bd. 112: S. 35-47

Kukush, Alexander; Malenko, Andrii; Schneeweiß, Hans und Shalabh (2010): Optimality of quasi-score in the multivariate mean-variance model with an application to the zero-inflated Poisson model with measurement errors. In: Statistics, Bd. 44, Nr. 4: S. 381-396

Shalabh; Toutenburg, Helge und Heumann, Christian (2009): Stein-rule estimation under an extended balanced loss function. In: Journal of Statistical Computation and Simulation, Bd. 79, Nr. 10: S. 1259-1273

Paper

Kukush, Alexander; Malenko, Andrii; Schneeweiß, Hans und Shalabh (2006): Optimality of Quasi-Score in the multivariate mean-variance model with an application to the zero-inflated Poisson model with measurement errors. Sonderforschungsbereich 386, Discussion Paper 498 [PDF, 293kB]

Shalabh; Toutenburg, Helge und Heumann, Christian (2006): Performance of Double k-class Estimators for Coefficients in Linear Regression Models with Non Spherical Disturbances under Asymmetric Losses. Sonderforschungsbereich 386, Discussion Paper 509 [PDF, 241kB]

Shalabh; Toutenburg, Helge und Heumann, Christian (2006): Mean Squared Error Matrix comparison of Least Squares and Stein-Rule Estimators for Regression Coefficients under Non-normal Disturbances. Sonderforschungsbereich 386, Discussion Paper 496 [PDF, 250kB]

Shalabh; Toutenburg, Helge und Heumann, Christian (2006): Risk Performance Of Stein-Rule Estimators Over The Least Squares Estimators Of Regression Coefficients Under Quadratic Loss Structures. Sonderforschungsbereich 386, Discussion Paper 495 [PDF, 218kB]

Schneeweiß, Hans und Shalabh (2006): On the Estimation of the Linear Relation when the Error Variances are known. Sonderforschungsbereich 386, Discussion Paper 493 [PDF, 4MB]

Shalabh und Toutenburg, Helge (2005): On the regression method of estimation of population mean from incomplete survey data through imputation. Sonderforschungsbereich 386, Discussion Paper 442 [PDF, 290kB]

Shalabh und Toutenburg, Helge (2005): Consequences of Departure from Normality on the Properties of Calibration Estimators. Sonderforschungsbereich 386, Discussion Paper 441 [PDF, 248kB]

Toutenburg, Helge und Shalabh (2001): Synthesizing the classical and inverse methods in linear calibration. Sonderforschungsbereich 386, Discussion Paper 252 [PDF, 237kB]

Toutenburg, Helge und Shalabh (2001): Use of prior information in the form of interval constraints for the improved estimation of linear regression models with some missing responses. Sonderforschungsbereich 386, Discussion Paper 240 [PDF, 283kB]

Toutenburg, Helge und Shalabh (2001): Estimation of linear models with missing data: The role of stochastic linear constraints. Sonderforschungsbereich 386, Discussion Paper 239 [PDF, 242kB]

Toutenburg, Helge und Shalabh (2001): A note on the comparison of minimax linear and mixed regression estimation of regression coefficients when prior estimates are available. Sonderforschungsbereich 386, Discussion Paper 238 [PDF, 209kB]

Toutenburg, Helge und Shalabh (1999): Estimation of Regression Models with Equi-correlated Responses when some Observations on the Response Variable are Missing. Sonderforschungsbereich 386, Discussion Paper 174 [PDF, 243kB]

Toutenburg, Helge und Shalabh (1999): Estimation of Regression Coefficients Subject to Exact Linear Restrictions when some Observations are Missing and Balanced Loss Function is Used. Sonderforschungsbereich 386, Discussion Paper 163 [PDF, 239kB]

Toutenburg, Helge und Shalabh (1999): Improving the Estimation of Incomplete Regression Models through Pilot Investigations and Repeated Studies. Sonderforschungsbereich 386, Discussion Paper 154 [PDF, 236kB]

Toutenburg, Helge und Shalabh (1998): Prediction of Response Values in Linear Regression Models from Replicated Experiments. Sonderforschungsbereich 386, Discussion Paper 112 [PDF, 214kB]

Toutenburg, Helge und Shalabh (1998): Improved Predictions in Linear Regression Models with Stochastic Linear Constraints. Sonderforschungsbereich 386, Discussion Paper 124 [PDF, 270kB]

Toutenburg, Helge und Shalabh (1998): Use of minimum risk approach in the estimation of regression models with missing observation. Sonderforschungsbereich 386, Discussion Paper 118 [PDF, 199kB]

Buchbeitrag

Shalabh und Heumann, Christian (2012): Simultaneous Prediction of Actual and Average Values of Study variable Using Stein-rule Estimators. In: Kumar, K. und Chaturvedi, A. (Hrsg.): Some Recent Developments in Statistical Theory and Application. Boca Raton: Brown Walker Press. S. 68-81

Toutenburg, Helge; Shalabh und Heumann, Christian (2009): Optimal estimation in a linear regression model using incomplete prior information. In: Schipp, Bernhard und Krämer, Walter (Hrsg.): Statistical Inference, Econometric Analysis and Matrix Algebra: Festschrift in Honour of Götz Trenkler. Heidelberg: Physica-Verlag. S. 185-200

Diese Liste wurde am Sat Mar 23 18:11:35 2024 CET erstellt.