✦ LIBER ✦

Divergence statistics based on entropy functions and stratified sampling

✍ Scribed by M.D. Esteban

Publisher: Elsevier Science
Year: 1995
Tongue: English
Weight: 630 KB
Volume: 87
Category: Article
ISSN: 0020-0255
DOI: 10.1016/0020-0255(95)00162-x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Asymptotic properties of divergence stat

Asymptotic properties of divergence statistics in a stratified random sampling and its applications to test statistical hypotheses

✍ D. Morales; L. Pardo; M. Salicrú; M.L. Menéndez 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 962 KB

ADAPTIVE CLUSTER SAMPLING BASED ON ORDER

ADAPTIVE CLUSTER SAMPLING BASED ON ORDER STATISTICS

✍ STEVEN K. THOMPSON 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 691 KB

In adaptive cluster sampling designs, neighbouring units are added to the sample whenever the value of the variable of interest satisfies a chosen criterion. Commonly, the criterion consists of a fixed, prespecified value, so that additional units are added to the sample whenever a unit is observed

Asymptotic distribution of statistics ba

Asymptotic distribution of statistics based on quadratic entropy and bootstrapping

✍ Z.J. Liu; C.Radhakrishna Rao 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 648 KB

Cramér-von Mises statistics based on the

Cramér-von Mises statistics based on the sample quantile function and estimated parameters

✍ Vincent LaRiccia; David M Mason 📂 Article 📅 1986 🏛 Elsevier Science 🌐 English ⚖ 615 KB

A test for multivariate normality based

A test for multivariate normality based on sample entropy and projection pursuit

✍ Li-Xing Zhu; Hoi Lam Wong; Kai-Tai Fang 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 602 KB

Precise interpolation for band-limited d

Precise interpolation for band-limited digital signals based on sampling theorem incorporated with window functions

✍ Takahiro Asai 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 341 KB

## Abstract This paper proposes an interpolation method called the “window function method” in which the sampling theorem and the window functions are combined. The cause of the generation of the interpolation error is the folding distortion due to the multiplication of the time‐limited window to t