Groß, Jürgen2004-12-062004-12-061997http://hdl.handle.net/2003/481810.17877/DE290R-6720Linear combination of two statistics is considered when some prior knowledge about their expectation and complete knowledge about their joint dispersion is available. The considered setup is more general than those already known in the literature, in the sense that the expectation of one of the statistics is not necessarily assumed to be completely known when estimation of the expectation of the other statistic is of interest.enUniversitätsbibliothek Dortmundcovariance adjustment estimationGauss--Markov modellinear combination of statisticsminimum dispersion linear unbiased estimationprediction310report