The resampling cross-validation technique in exercise science : modelling rowing power

摘要: The past 10-15 yr have witnessed a rapid increase in the development of new (and not so new) statistical methods that capitalize on recent advances high-speed computing. These computer-intensive are often broadly referred to as resampling techniques and take several forms depending specific details procedure information interest. Resampling can be used both for inferential hypothesis testing well exploratory data description. Regardless which method is employed, central unifying theme based upon computer's power rapidly resample many pseudosamples from known (in-hand) set (e.g., randomization tests, jackknife, boot-strap, cross-validation) or randomly generate theoretical probability distribution normal, binomial, Poisson) with some parameters (Monte Carlo method). This paper intended detailed description methods, but only an introduction approach cross-validation. A brief discussion motivation example exercise science context will presented.