This Monte-Carlo study investigates sensitivity of the Wilcoxon signed rank test to certain assumption violations in small samples. Emphasis is put on within-sample-dependence, between-sample dependence, and the presence of ties. Our results show that both assumption violations induce severe...

This Monte-Carlo study investigates sensitivity of the Wilcoxon signed rank test to certain assumption violations in small samples. Emphasis is put on within-sample-dependence, between-sample dependence, and the presence of ties. Our results show that both assumption violations induce severe...

Misconceptions are many when it comes to Fisher information, sufficiency, and ancillarity, especially among beginners. Many believe that <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$\mathcal I _{T_{1}}(\theta )+\mathcal I _{T_{2}}(\theta )$$</EquationSource> </InlineEquation> should equal <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$\mathcal I _{T_{1}+T_{2}}(\theta )$$</EquationSource> </InlineEquation> for all <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$\theta $$</EquationSource> </InlineEquation>. We exhibit precise...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>

We show that use of ordinary least-squares to explore relationships involving firm-level stock returns as the dependent variable in the face of structured dependence between individual firms leads to an endogeneity problem. This in turn leads to biased and inconsistent least-squares estimates. A...

We show that binary designs for cross-over models obtained from orthogonal arrays are universally optimal under correlated errors.

We show that binary designs for cross-over models obtained from orthogonal arrays are universally optimal under correlated errors.