Random Regression Models for Estimation of Covariance Functions, Genetic Parameters and Prediction of Breeding Values for Rib Eye Area in a Colombian Bos indicus-Bos taurus Multibreed Cattle Population

In this paper we present an application of random regression models (RRM) to obtain restricted maximum likelihood estimates of covariance functions and predictions Baby Feeder of breeding values for longitudinal records of rib eye area measured by ultrasound (REA) in a Colombian multibreed cattle population.The dataset contained 708 records from 34

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Multi-criteria site selection for fire services: the interaction with analytic hierarchy process and geographic information systems

This study combines AHP and GIS to provide decision makers with a model to ensure optimal site location(s) for fire stations selected.The roles of AHP and GIS in determining optimal locations are explained, criteria for site selection are outlined, and case study results for finding the optimal fire station locations in Istanbul, Turkey are include

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