✦ LIBER ✦

Estimates of parameters of dependent random variables

✍ Scribed by L. V. Volokh

Publisher: Springer US
Year: 1999
Tongue: English
Weight: 505 KB
Volume: 35
Category: Article
ISSN: 1573-8337
DOI: 10.1007/bf02835858

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

M-Estimation for dependent random variab

M-Estimation for dependent random variables

✍ Reinhard Furrer 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 90 KB

This paper discusses the consistency in the strong sense and essential uniqueness of M -estimation for dependent random variables. The hypotheses are based on the function deÿning implicitly the M -estimation as well as on its ÿrst derivative and its Hessian matrix. No explicit hypotheses on the ran

Some estimates for sums of dependent ran

Some estimates for sums of dependent random variables which hold almost surely

✍ V. V. Petrov 📂 Article 📅 1981 🏛 Springer US 🌐 English ⚖ 177 KB

Some Estimates of the Concentration Func

Some Estimates of the Concentration Function of Sums of m-Dependent and Markov-Dependent Random Variables

✍ Lother Heinrich 📂 Article 📅 1984 🏛 John Wiley and Sons 🌐 English ⚖ 363 KB 👁 1 views

Families of positively dependent random

Families of positively dependent random variables

✍ Takemi Yanagimoto 📂 Article 📅 1972 🏛 Springer Japan 🌐 English ⚖ 750 KB

Sums of weakly dependent random variable

Sums of weakly dependent random variables

✍ S. A. Utev 📂 Article 📅 1992 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 1007 KB

Parameter estimation of random fields wi

Parameter estimation of random fields with long-range dependence

✍ V.V. Anh; K.E. Lunney 📂 Article 📅 1995 🏛 Elsevier Science 🌐 English ⚖ 767 KB

This paper considers random fields with spectral den&y having a pole of fractional order at the origin. Thus class of models offers a suitable framework for studying long-range spatial correlation. An approxrmation to the likelihood function is given for the estimation of model parameters. The conve