Permutational Extreme Values of Autocorrelation Coefficients and a Pitman Test Against Serial Dependence
自相关系数的置换极值与检验序列依赖的 Pitman 检验
Normal approximations, as provided by permutational central limit theorems, conditionally can be arbitrarily bad. Such approximations therefore are poorly suited to the construction of critical values for Pitman (permutation) tests. A classical remedy consists in substituting a beta approximation (over the appropriate conditional interval range) for the normal one. Whereas deriving permutational extreme values for usual, nonserial statistics is generally straightforward, the…