Die im Grundstudium erworbenen mathematischen Kenntnisse reichen im wirtschaftswissenschaftlichen Hauptstudium der Betriebs- und Volkswirtschaftslehre mit einer stärkeren quantitativen Ausrichtung bei weitem nicht aus, so z.B. nicht in der Ökonometrie, im Operations Research und insbesondere...

In this note, the basic lemma of the linear identification problem is revisited. By utilizing a joint decomposition of orthogonal projectors as partitioned matrices, a new proof of the lemma is proposed. From the algebraic point of view, the present proof might be the simplest from among all...

Vortwort -- 1. Matrix-Operationen -- 2. Spezielle Matrizen -- 3. Maßzahlen von Matrizen -- 4. Eigenwerte und Quadratische Formen -- 5. Verallgemeinerte Inversen -- 6. Moore-Penrose-Inverse -- 7. Lösung linearer Gleichungssysteme -- 8. Kronecker-Produkt und vec-Operator -- 9. Stochastische...

Krämer (Sankhy<InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\bar{\mathrm{a }}$$</EquationSource> </InlineEquation> 42:130–131, <CitationRef CitationID="CR13">1980</CitationRef>) posed the following problem: “Which are the <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\mathbf{y}$$</EquationSource> </InlineEquation>, given <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$\mathbf{X}$$</EquationSource> </InlineEquation> and <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$\mathbf{V}$$</EquationSource> </InlineEquation>, such that OLS and Gauss–Markov are equal?”. In other words, the problem aimed at identifying those vectors <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$\mathbf{y}$$</EquationSource> </InlineEquation>...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></citationref></equationsource></inlineequation>

Statistical Inference, Econometric Analysis and Matrix Algebra Contents List of Contributors xiii Part I Nonparametric Inference Adaptive Tests for the c-Sample Location Problem ...