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pro vyhledávání: '"Helge Toutenburg"'
Autor:
Helge Toutenburg, V. K. Srivastava
Publikováno v:
Statistica, Vol 63, Iss 2, Pp 223-236 (2007)
This paper considers the problem of estimating the population mean using the ratio and product methods when some observations in the sample data are missing at random and the population mean of the auxiliary characteristic is not known. Besides an un
Externí odkaz:
https://doaj.org/article/3971f70a2eb44fe295cff2cc268e44f4
Publikováno v:
Journal of Statistical Computation and Simulation. 79:1259-1273
This paper extends the balanced loss function to a more general setup. The ordinary least squares estimator (OLSE) and Stein-rule estimator (SRE) are exposed to this general loss function with quadratic loss structure in a linear regression model. Th
Autor:
Ulrike Balbach, Helge Toutenburg, Roland Männchen, Marc Schätzle, Christoph H. F. Hämmerle, Ronald E. Jung
Publikováno v:
Clinical Oral Implants Research. 20:489-495
Aim: The aim of this randomized-controlled clinical study was to examine stability changes of palatal implants with chemically modified sandblasted/acid-etched (modSLA) titanium surface compared with a standard SLA surface, during the early stages of
Autor:
Helge Toutenburg, Shalabh
Publikováno v:
Journal of Statistical Planning and Inference. 136:4385-4396
This paper considers the classical and inverse calibration estimators and discusses the consequences of departure from normality of errors on their bias and mean squared error properties when the errors in calibration process are small.
Publikováno v:
Statistical Papers. 49:237-247
In this article, we consider the estimation of a population mean when some observations on the study characteristic are missing in the bivariate sample data. In all, five estimators are presented and their efficiency properties are discussed. One est
Publikováno v:
Journal of Statistical Planning and Inference. 136:2430-2445
We consider the estimation of coefficients in a linear regression model when some responses on the study variable are missing and some prior information in the form of lower and upper bounds for the average values of missing responses is available. E
Publikováno v:
Journal of Quantitative Economics. 4:14-24
The problem of estimating the coefficients in a linear regression model is considered when some of the response values are missing. The conventional Yates procedure employing least squares predictions for missing values does not lead to any improveme
Autor:
Shalabh, Helge Toutenburg
Publikováno v:
TEST. 14:385-396
This article considers a linear regression model when a set of exact linear restrictions binding the coefficients is available and some observations on the study variable are missing. Estimators for the vectors of regression coefficients are presente
Autor:
C.Radhakrishna Rao, Helge Toutenburg
The book is based on both authors'several years of experience in teaching linear models at various levels. It gives an up-to-date account of the theory and applications of linear models. The book can be used as a text for courses in statistics at the
Autor:
Helge Toutenburg
Dieses Buch gibt einen vollständigen Überblick über Lineare Modelle und verwandte Gebiete, z.B. die Matrixtheorie. Das Buch umfasst Theorie und Anwendungen. Zahlreiche Beispiele sowie Datensätze, Tests und Grafiken (Tests auf Strukturbrüche/Para