✦ LIBER ✦

A test for the independence of two Gaussian processes

✍ Scribed by C.S Withers

Publisher: Elsevier Science
Year: 1984
Tongue: English
Weight: 377 KB
Volume: 15
Category: Article
ISSN: 0047-259X
DOI: 10.1016/0047-259x(84)90028-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Asymptotic expansions of the distributio

Asymptotic expansions of the distributions of some test statistics for Gaussian ARMA processes

✍ Masanobu Taniguchi 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 663 KB

Nonnull distributions of two test criter

Nonnull distributions of two test criteria for independence under local alternatives

✍ Hisao Nagao 📂 Article 📅 1973 🏛 Elsevier Science 🌐 English ⚖ 393 KB

A test for independence based on the Inf

A test for independence based on the Information Energy

✍ M.C. Pardo; J.A. Pardo 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 561 KB

A test of independence for the coordinat

A test of independence for the coordinates of bivariate censored data

✍ Edit Gombay 📂 Article 📅 1988 🏛 Elsevier Science 🌐 English ⚖ 640 KB

A vector processing algorithm of auxilia

A vector processing algorithm of auxiliary integral evaluation for two-electron Gaussian integrals

✍ Shuichi Yahiro; Yasuhiko Gondo 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 443 KB

## Abstract A six‐term auxiliary integral expression for the two‐electron Gaussian integral is derived on the basis of the Chebyshev polynomial approximation instead of the seven‐term Taylor expansion. This expression and the related recurrence formula enable us to perform a high‐speed calculation

Comparisons of Some Chi-squared Tests fo

Comparisons of Some Chi-squared Tests for the Test of Independence in Sparse Two-Way Contingency Tables

✍ H. B. Lawal; G. J. G. Uptong 📂 Article 📅 1990 🏛 John Wiley and Sons 🌐 English ⚖ 609 KB

## Abstract We consider in this paper, the behaviour of a class of the CRESSIE READ (1984) power divergence test statistics indexed by parameter λ ‐ __I__ (λ), with the modified __X__~2~ test statistics (LU) proposed by LAWAL and UPTON (1984), for sparse contingency tables ranging from the 3×3 to t