Testing for Periodicity in a Time Series
提出一族检验时间序列周期性的方法，其中包含Fisher检验作为特例。该族中某些检验在多种备择假设下功效显著高于Fisher检验，且对Fisher最优的备择假设仍保持可比功效。蒙特卡洛研究提供了选择依据，临界值通过随机弧覆盖圆的对偶问题获得。
Abstract A one-parameter family of tests for periodicity in a time series is proposed that contains Fisher's test as a special case. Some tests in this family have substantially larger power than Fisher's test against many alternatives, yet retain comparable power against those alternatives for which Fisher's test is optimal. A Monte Carlo power study establishes this and also provides a basis for the selection of a test from this family. Critical values are obtained by using a duality with the problem of covering a circle with random arcs.