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Management Science, 1972
Growth period models, previously treated in the literature, have assumed that the pattern of value increase of the growth asset is deterministic. In this paper, this assumption is relaxed by considering models in which the increase in value of an asset in a period is a random variable whose distribution is a function of either the value or the age of ...
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Growth period models, previously treated in the literature, have assumed that the pattern of value increase of the growth asset is deterministic. In this paper, this assumption is relaxed by considering models in which the increase in value of an asset in a period is a random variable whose distribution is a function of either the value or the age of ...
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2008
Multisector growth models are basic building blocks not only for optimal planning models (Majumdar, 1987; McKenzie, 1986) but also for recursive general equilibrium models (McKenzie, 2002; Stokey and Lucas, 1989), and for econometrically tractable models for business cycle research (Cooley, 1995) and general macroeconomics (Sargent, 1987).
W. A. Brock, W. D. Dechert
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Multisector growth models are basic building blocks not only for optimal planning models (Majumdar, 1987; McKenzie, 1986) but also for recursive general equilibrium models (McKenzie, 2002; Stokey and Lucas, 1989), and for econometrically tractable models for business cycle research (Cooley, 1995) and general macroeconomics (Sargent, 1987).
W. A. Brock, W. D. Dechert
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2011
Growth models are widely used in quantitative research in order to understand the forces that influence growth in sense of its dynamics, market capacities as well as forecasting of growth in future. Diffusion of innovation and new technology, market adoption of consumer durables and subscription services, as well as allocations of restricted resources ...
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Growth models are widely used in quantitative research in order to understand the forces that influence growth in sense of its dynamics, market capacities as well as forecasting of growth in future. Diffusion of innovation and new technology, market adoption of consumer durables and subscription services, as well as allocations of restricted resources ...
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Modelling Bacillus cereus growth
International Journal of Food Microbiology, 1997The aim of this study was to model the growth, in a model system, of toxigenic strains of Bacillus cereus as a function of temperature, pH and water activity. Optical density (OD) values were transformed into numbers of colony-forming units (CFU) by the use of a 'calibrating' relation.
E, Chorin +3 more
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Growth rate models: emphasizing growth rate analysis through growth curve modeling
Journal of Applied Statistics, 2012To emphasize growth rate analysis, we develop a general method to reparametrize growth curve models to analyze rates of growth for a variety of growth trajectories, such as quadratic and exponential growth. The resulting growth rate models are shown to be related to rotations of growth curves.
Zhiyong Zhang +2 more
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2015
This section provides an introduction to two-sector growth models. We begin with a model where a single good is produced using traditional means of production. In the traditional sector , production is carried out by households using land (natural resources) and labor.
Sibabrata Das +2 more
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This section provides an introduction to two-sector growth models. We begin with a model where a single good is produced using traditional means of production. In the traditional sector , production is carried out by households using land (natural resources) and labor.
Sibabrata Das +2 more
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The ANZIAM Journal, 2009
AbstractThe freezing of water to ice is a classic problem in applied mathematics, involving the solution of a diffusion equation with a moving boundary. However, when the water is salty, the transport of salt rejected by ice introduces some interesting twists to the tale.
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AbstractThe freezing of water to ice is a classic problem in applied mathematics, involving the solution of a diffusion equation with a moving boundary. However, when the water is salty, the transport of salt rejected by ice introduces some interesting twists to the tale.
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Reduced Models of Algae Growth
Bulletin of Mathematical Biology, 2009The simulation of biological systems is often plagued by a high level of noise in the data, as well as by models containing a large number of correlated parameters. As a result, the parameters are poorly identified by the data, and the reliability of the model predictions may be questionable.
Haario, Heikki +2 more
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IEEE Transactions on Reliability, 1978
A system can be in one of two states: perfect (s0) or imperfect (s1). At any trial, the system can succeed or fail if it is in s1, but will never fail if in s0. After every failure, some corrective action is taken which, with a chance ?, will lead to a transition to s0. Even if the corrective action does not succeed, i.e. the system is still in s1, the
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A system can be in one of two states: perfect (s0) or imperfect (s1). At any trial, the system can succeed or fail if it is in s1, but will never fail if in s0. After every failure, some corrective action is taken which, with a chance ?, will lead to a transition to s0. Even if the corrective action does not succeed, i.e. the system is still in s1, the
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Modeling Cardiac Growth: An Alternative Approach
2019Models of cardiac growth might assist in clinical decisionmaking, in particular for long-term prognosis of the effect of interventions.Most growth models strictly enforce the amount and directionof volume change and prevent runaway growth by limiting maximumgrowth. These assumptions have been questioned.
van Osta, N.C.J. +3 more
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