✦ LIBER ✦

Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach

✍ Scribed by Guillaume Dauphin; Etienne Prévost; Colin E. Adams; Patrick Boylan

Book ID: 116483573
Publisher: Elsevier Science
Year: 2010
Tongue: English
Weight: 421 KB
Volume: 106
Category: Article
ISSN: 0165-7836
DOI: 10.1016/j.fishres.2010.06.014

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Using accessible watershed size to predi

Using accessible watershed size to predict management parameters for Chinook salmon, Oncorhynchus tshawytscha, populations with little or no spawner-recruit data: a Bayesian hierarchical modelling approach

✍ M. C. LIERMANN; R. SHARMA; C. K. PARKEN 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 402 KB

Human dental age estimation using third

Human dental age estimation using third molar developmental stages: does a Bayesian approach outperform regression models to discriminate between juveniles and adults?

✍ P. W. Thevissen; S. Fieuws; G. Willems 📂 Article 📅 2009 🏛 Springer-Verlag 🌐 German ⚖ 247 KB

A limited sampling method to estimate me

A limited sampling method to estimate methotrexate pharmacokinetics in patients with rheumatoid arthritis using a Bayesian approach and the population data modeling program P-PHARM

✍ F. Bressolle; L. Edno; C. Bologna; J. Sany; J. C. Bernard; B. Combe; R. Gomeni 📂 Article 📅 1996 🏛 Springer 🌐 English ⚖ 806 KB

This paper describes a methodology to calculate methotrexate (MTX) pharmacokinetic parameters after intramuscular administration using two samples and the population parameters. Total and free MTX were measured over a 36-h period in 56 rheumatoid arthritis patients; 14 patients were studied after a

Use of state–space modeling with a Bayes

Use of state–space modeling with a Bayesian approach to estimate target reference points for green sea urchin (Strongylocentrotus droebachiensis) stocks in the Queen Charlotte Strait region, British Columbia, Canada

✍ Zane Zhang; R. Ian Perry 📂 Article 📅 2005 🏛 Elsevier Science 🌐 English ⚖ 403 KB