With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...

Monte Carlo sampling methods form a cornerstone of contemporary statistical inference by enabling the approximation of complex integrals and posterior distributions that defy analytical solution. At ...

Statistical estimation in survey sampling encompasses a range of methods designed to infer population parameters from observed data in a manner that is both unbiased and efficient. Traditional ...

If a taxpayer calculates research tax credits using an appropriate statistical sampling method on its tax return, does the taxpayer then make a prima facie case in the Tax Court by introducing ...