✦ LIBER ✦

Modeling annual rainfall: a robust maximum likelihood approach

✍ Scribed by John N. Haddad; Musa N. Nimah; Nadim Farajallah

Publisher: John Wiley and Sons
Year: 2006
Tongue: English
Weight: 65 KB
Volume: 18
Category: Article
ISSN: 1180-4009
DOI: 10.1002/env.805

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Periodic model selection for rainfall us

Periodic model selection for rainfall using conditional maximum likelihood

✍ Lelys Guenni; F. Ojeda; M. C. Key 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 166 KB 👁 2 views

Modelling accumulated rainfall at a given time scale has always been an important problem in hydrology for many applications. In many parts of the world rainfall is highly seasonal and parameter estimation of selected models is usually carried out by months or seasons at any particular location. A m

A unified maximum likelihood approach to

A unified maximum likelihood approach to document retrieval

✍ David Bodoff; Daniel Enache; Ajit Kambil; Gary Simon; Alex Yukhimets 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 154 KB

The Maximum-Likelihood-Binomial method r

The Maximum-Likelihood-Binomial method revisited: a robust approach for model-free linkage analysis of quantitative traits in large sibships

✍ Aurelie Cobat; Laurent Abel; Alexandre Alcaïs 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 254 KB 👁 2 views

Model-free linkage analysis methods, based on identity-by-descent allele sharing, are commonly used for complex trait analysis. The Maximum-Likelihood-Binomial (MLB) approach, which is based on the hypothesis that parental alleles are binomially distributed among affected sibs, is particularly popul

Maximum likelihood estimation of a laten

Maximum likelihood estimation of a latent variable time-series model

✍ Francesco Bartolucci; Giovanni De Luca 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 110 KB 👁 2 views

## Abstract Recently, Fridman and Harris proposed a method which allows one to approximate the likelihood of the basic stochastic volatility model. They also propose to estimate the parameters of such a model maximising the approximate likelihood by an algorithm which makes use of numerical derivat

Generalized Linear Mixed-Effects Models

Generalized Linear Mixed-Effects Models with a Finite-Support Random-Effects Distribution: A Maximum-Penalized-Likelihood Approach

✍ Moon K. Leung; Robert M. Elashoff 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 866 KB

An error correction approach based on ma

An error correction approach based on maximum likelihood estimation combined with hidden Markov models

✍ Tadashi Yonezaki; Koji Yoshida; Toshio Yagi; Kiyohiro Shikano 📂 Article 📅 2002 🏛 John Wiley and Sons 🌐 English ⚖ 306 KB 👁 1 views

## Abstract This paper proposes an error‐correction algorithm for channel error using the hidden Markov model (HMM). The proposed method uses two probabilities calculated by the information source model (HMM) and the channel model, under the constraint of the received code sequence, and estimates t