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Science and Technology Studies Commons

Open Access. Powered by Scholars. Published by Universities.®

2015

Models

Articles 1 - 2 of 2

Full-Text Articles in Science and Technology Studies

Factor Analytic Mixed Models For The Provision Of Grower Information From National Crop Variety Testing Programs, Alison B. Smith, Aanandini Ganesalingam, Haydn Kuchel, Brian R. Cullis Jan 2015

Factor Analytic Mixed Models For The Provision Of Grower Information From National Crop Variety Testing Programs, Alison B. Smith, Aanandini Ganesalingam, Haydn Kuchel, Brian R. Cullis

Faculty of Engineering and Information Sciences - Papers: Part A

Crop variety testing programs are conducted in many countries world-wide. Within each program, data are combined across locations and seasons, and analysed in order to provide information to assist growers in choosing the best varieties for their conditions. Despite major advances in the statistical analysis of multi-environment trial data, such methodology has not been adopted within national variety testing programs. The most commonly used approach involves a variance component model that includes variety and environment main effects, and variety by environment ( VxE ) interaction effects. The variety predictions obtained from such an analysis, and subsequently reported to growers, are …


Calibrating Markov Chain-Based Deterioration Models For Predicting Future Conditions Of Railway Bridge Elements, Niroshan Walgama Wellalage, Tieling Zhang, Richard Dwight Jan 2015

Calibrating Markov Chain-Based Deterioration Models For Predicting Future Conditions Of Railway Bridge Elements, Niroshan Walgama Wellalage, Tieling Zhang, Richard Dwight

Faculty of Engineering and Information Sciences - Papers: Part A

Existing nonlinear optimization-based algorithms for estimating Markov transition probability matrix (TPM) in bridge deterioration modeling sometimes fail to find optimum TPM values, and hence lead to invalid future condition prediction. In this study, a Metropolis-Hasting algorithm (MHA)-based Markov chain Monte Carlo (MCMC) simulation technique is proposed to overcome this limitation and calibrate the state-based Markov deterioration models (SBMDM) of railway bridge components. Factors contributing to rail bridge deterioration were identified; inspection data for 1,000 Australian railway bridges over 15 years were reviewed and filtered. The TPMs corresponding to a typical bridge element were estimated using the proposed MCMC simulation method …