HERMITE型导数样本定理和Sobolev类上的混淆误差

证明了 :如果函数f属于带有限函数类B2σ ,p,1<p <∞ ,即 p 次可积且Fourier变换支集包含于闭区间 [-σ ,σ]的函数全体 ,则它能在Lp(R)范意义下由其样本序列 { f(kπ/σ) } k∈Z,{ f′(kπ/σ) } k∈Z通过Hermitecardinal插值完全重构 ,并且对 f∈Lrp(R) ,1<p

Strong Consistency for the Kernal Estimates of the Random Window Width of the Density Function and its Derivatives Under Φ-Mixing Samples

In the paper,we study the strong uniform consistency for the kernal estimates of random window w■th of density function and its derivatives under the condition that the sequence{X_n}of the ■ are the identically Φ-mixing random variabks.