Bayesian growth curve modeling is a popular method for studying longitudinal data. In this study, we discuss flexible extension, the piecewise model (BPGCM), which allows researcher to break up trajectory into phases joined at change points called knots. By fitting BPGCMs, can specify three or more of without concern identification. Our goal provide substantive researchers with guide implementi...

a precise estimation of water consumption throughout a crop's growth season and of the amount of water consumed in each growth stage may play an important role in water resources management, integrated water and soil management, and proper irrigation scheduling. in a greenhouse, this faces with the conditions specific to this environment. this study was conducted to propose a model to make an a...

The logistic, Gompertz, Richards and asymmetric logistic growth curve models were fitted to body weight data of local Ghanaian chickens and French SASSO T44 chickens. All four growth models provided good fit for each sex by genotype growth data with R2 values ranging from 86.7% to 96.7%. The rate constant parameter, k, ranged between 0.137 and 0.271 and were significantly different from zero fo...

abstract        typing of bacteria is an important part of epidemiological studies on nosocomial infections. bacterial identification methods have dramatically improved in recent years, which is mainly due to advancements in the field of molecular biotechnology. in many cases, molecular techniques have replaced phenotypic typing methods. currently, a wide range of bacterial typing techniques is...

the present paper examines the mitigating effect of monetary and fiscal policies on the “growth laffer curve” (glc) using a panel data of 38 high income countries over the period 2003-2012. adopting generalised method of moments (gmm) estimators, the paper finds evidence substantiating the presence of an inverted-u glc. moreover, the evidence suggests that the glc shifts downward by employing e...

A variety of growth curves have been developed to model both unpredated, intraspecific population dynamics and more general biological growth. Most predictive models are shown to be based on variations of the classical Verhulst logistic growth equation. We review and compare several such models and analyse properties of interest for these. We also identify and detail several associated limitati...