Let X<sub>1</sub>, X<sub>2</sub>, … be i. i. d. random vectors defined on a probability space （Ω, τ, P ） and take values in P<sup>p</sup> （p≥1 ） with common law P. We can co...Let X<sub>1</sub>, X<sub>2</sub>, … be i. i. d. random vectors defined on a probability space （Ω, τ, P ） and take values in P<sup>p</sup> （p≥1 ） with common law P. We can construct PP Kolmogorov-Smimov statistics as follows by the projection pursuit （abbreviated to PP ）method:展开更多
文摘Let X<sub>1</sub>, X<sub>2</sub>, … be i. i. d. random vectors defined on a probability space （Ω, τ, P ） and take values in P<sup>p</sup> （p≥1 ） with common law P. We can construct PP Kolmogorov-Smimov statistics as follows by the projection pursuit （abbreviated to PP ）method:
