On Scan Statistics Through the Finite Markov Chain Imbedding Approach
摘要
This chapter provides a short review of the finite Markov chain imbedding approach for studying the distributions of discrete scan statistics, multiple window scan statistics, and continuous scan statistics under a Poisson arrival process. Applications to hypothesis testing for various alternatives are also provided to illustrate the versatility of the approach.