نتایج جستجو برای: richards model

تعداد نتایج: 2106121  

2004
Alfredo Hernandez-Llamas David A. Ratkowsky

A total of 16 data sets on wild and cultivated fishes, crustaceans and molluscs were used to test and compare conventional growth curves (von Bertalanffy, Logistic, Gompertz and Richards) and a new growth model. Statistical properties for estimation of the models were evaluated and compared to determine suitability. The absolute value of the Hougaard measure of skewness of parameter estimates (...

2013
Yanyu Xiao Zeenat Patel Adam Fiddler Lilian Yuan Marie‐Elaine Delvin David N. Fisman

BACKGROUND The 2009 influenza A (H1N1) pandemic was mild by historical standards, but was more severe in isolated Canadian Indigenous communities. Oseltamivir was used aggressively for outbreak control in an isolated northern Ontario First Nations community. We used mathematical modeling to quantify the impact of antiviral therapy on the course of this outbreak. METHODS We used both a Richard...

2007
Timothy J. Richards Stephen F. Hamilton Paul M. Patterson

1 Agribusiness, Arizona State University East, 7001 E. Williams Field Road, Bldg. 130, Mesa, AZ. 85212. Hamilton is Professor in the Orfalea College of Business, Cal Poly University, San Luis Obispo, CA. 93407. Contact author: Richards, phone: 480-727-1488 FAX: 480-727-1510 email: [email protected]. Copyright 2006 Timothy J. Richards. All rights reserved. Do not cite or quote without permission...

Journal: :The New phytologist 2010
Christina L Richards Oliver Bossdorf Koen J F Verhoeven

Recently, there has been increased interest in understanding the role of epigenetic processes in ecology and evolution (e.g. Richards, 2006; Bossdorf et al., 2008; Johannes et al., 2008; Richards et al., 2010). We now know that some epigenetic marks are not reset each generation, but are faithfully transmitted across generations (Jablonka & Raz, 2009), that natural variation can exist not only ...

Journal: :Computer-aided Civil and Infrastructure Engineering 2022

Macroscopic traffic flow modeling is essential for describing and forecasting the characteristics of flow. However, classic Lighthill–Whitham–Richards (LWR) model only provides equilibrium values steady-state conditions fails to capture common stochastic variabilities, which are a necessary component accurate real-time management control. In this paper, LWR (SLWR) that randomizes free-flow spee...

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