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A Threshold Model for Heron Productivity
Journal of Agricultural, Biological, and Environmental Statistics, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Besbeas, Panagiotis, Morgan, Byron J. T.
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A model of visual threshold detection
Journal of Theoretical Biology, 1977Abstract A model of visual incremental threshold detection is presented, having the following features. 1. (1) From Crozier's Law we deduce that all thresholds, for conventional as well as for noisy images, are ultimately determined by noise. Other evidence, which is described, supports this conclusion. 2.
G A, Hay, M S, Chesters
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Threshold Models in Radiation Carcinogenesis
Health Physics, 1998Cancer incidence and mortality data from the atomic bomb survivors cohort has been analyzed to allow for the possibility of a threshold dose response. The same dose-response models as used in the original papers were fit to the data. The estimated cancer incidence from the fitted models over-predicted the observed cancer incidence in the lowest ...
D G, Hoel, P, Li
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Modelling hearing thresholds in the elderly
Statistics in Medicine, 1991AbstractThis paper concerns a linear mixed‐effects repeated measures model in the analysis of a large data set with over 17,000 observations in a longitudinal study of pure‐tone hearing perception in the elderly. The repeated measurements are described by fixed and random components in the model.
C H, Morrell, L J, Brant
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1974
In the model discussed in the previous section, the function T(t) was prescribed a priori. Except for the case of constant delay, it is by no means clear how one would expect to know this function. In this section we add a phenomenon to the model, a threshold effect, which yields the delay as a function of I(t).
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In the model discussed in the previous section, the function T(t) was prescribed a priori. Except for the case of constant delay, it is by no means clear how one would expect to know this function. In this section we add a phenomenon to the model, a threshold effect, which yields the delay as a function of I(t).
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On inference for threshold autoregressive models
Test, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stramer, Osnat, Lin, Yu-Jau
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TESTING FOR EXOGENEITY IN THRESHOLD MODELS
Econometric Theory, 2009Most work in the area of nonlinear econometric modeling is based on a single equation and assumes exogeneity of the explanatory variables. Recently, work by Caner and Hansen (2004) and Psaradakis, Sola, and Spagnolo (2005) has considered the possibility of estimating nonlinear models by methods that take into account endogeneity but provide no tests ...
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Hopfield Model with a Dynamic Threshold
Theoretical and Mathematical Physics, 2001The author studies the Hopfield model of neural networks, in which he adds (in Ising language) a magnetic field term, which in the neural network interpretation is seen as a dynamic threshold. In particular it is considered how the set of ground states (fixed points) changes when one varies the field strength.
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Functional Threshold Autoregressive Model
Statistica SinicaSummary: We propose a functional threshold autoregressive model for flexible functional time series modeling. In particular, the behavior of a function at a given time point can be described by different autoregressive mechanisms, depending on the values of a threshold variable at a past time point. Sufficient conditions for the strict stationarity and
Li, Yuanbo +3 more
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