Let <InlineEquation ID="IEq1"> <EquationSource Format="TEX">$$(X_{i:n},Y_{[i:n]})$$</EquationSource> </InlineEquation> be the vector of the <InlineEquation ID="IEq2"> <EquationSource Format="TEX">$$i$$</EquationSource> </InlineEquation>th <InlineEquation ID="IEq3"> <EquationSource Format="TEX">$$X$$</EquationSource> </InlineEquation>-order statistic and its concomitant observed in a random sample of size <InlineEquation ID="IEq4"> <EquationSource Format="TEX">$$n$$</EquationSource> </InlineEquation> where the marginal distribution of <InlineEquation ID="IEq5"> <EquationSource Format="TEX">$$X$$</EquationSource> </InlineEquation> is absolutely continuous. We describe some general algorithms for simulation of complete and Type II...</equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation></equationsource></inlineequation>