Linear no-threshold model
Black rain in Hiroshima: a critique to the Life Span Study of A-bomb survivors, basis of the linear no-threshold model
... the linear no-threshold model (LNT), which asserts that the lowest doses of ionizing radiation are hazardous in proportion to the dose and dose ...
11
The 10th anniversary of the publication of genes and environment: memoir of establishing the Japanese environmental mutagen society and a proposal for a new collaborative study on mutagenic hormesis
... the linear no-threshold model ...a threshold at the boundary between benefit and ...the linear dose-response relationship in mutagenesis and carcinogenesis is denied and thresholds can ...
8
Complex influence propagation based on trust-aware dynamic linear threshold models
... diffusion model unifying all of the above requirements has been developed so ...classic linear threshold model, which are designed to deal with trust-aware, non-competitive as well as ...
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Some Dichotomy Theorems for Neural Learning Problems
... The computational complexity of learning from binary examples is investigated for linear threshold neurons. We introduce combinatorial measures that create classes of infinitely many learning prob- lems ...
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Bayesian threshold-linear model for genetic evaluation of direct and maternal calving traits in Iranian primiparous Holstein cattle
... All the within-trait direct-maternal genetic correlations were significant and negative; ranging from -0.15 for BW to -0.53 for CD (Table 3). In many studies, negative correlations were found between direct and maternal ...
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Testing a linear ARMA Model against threshold-ARMA models : a Bayesian approach
... for threshold nonlinearity of two-regime TARMA ...select model between a ARMA model and a TARMA model by constructing the Normal ...of threshold and delay ...
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Comparison of Linear and Threshold Models for Estimation Genetic and Phenotypic Parameters of Success of Conception at First Service and Inseminations to Conception in Holstein Cattles in East Azarbayjan Province
... normal model error variances and being constant for dependent variables for all values of the independent variables are not honest about their (Kaps and Lamberson, ...appropriate model for a correct ...
6
Variance components for susceptibility to Mycobacterium bovis infection in dairy and beef cattle
... mal linear mixed model, was similar to the trend in gen- etic variances estimated for somatic cell score in environments with different herd average somatic cell scores [38] ...a threshold animal ...
11
The threshold of a stochastic SIQS epidemic model
... the linear growth condition and local Lipschitz condition ...the linear growth condition, though they are locally Lipschitz continuous, so the solution of system ...
15
Linear and linear threshold model for genetic parameters for SEUROP carcass traits in Czech beef cattle
... a linear animal model in beef breeds Charolais, Hereford and Simmental in ...a linear animal model, linear sire model and linear sire maternal grandsire model for ...
12
Non Linear Adjustment in the MLR Condition: Evidence from Threshold Cointegration
... From two first columns of Table 2, we cannot reject the null hypothesis of no cointegration using the ADF cointegration test. There is thus no evidence of cointegration at the 5% or 1% significance level according to the ...
14
Dependence Structure and Hedging of U.S. Spot and Futures Markets in Financial Crisis
... However, most of these dynamic hedging models assume that the spot and futures returns follow a multivariate normal distribution with linear dependence. A popular used dependence measure is correlation, which ...
11
Model selection uncertainty and detection of threshold effects
... of threshold autoregressive models originally introduced by Tong ...to model nonlinear dynamics via piecewise linear specifications separated according to the magnitude of a threshold ...of ...
26
An efficient screening method for computer experiments
... Our proposed method is built upon the elementary effects method for screening Morris, 1991 and utilises a threshold value to separate the inputs with linear and non-linear effects.. The [r] ...
26
An experimental comparison of nonlinear and parabolic tapered waveguide lasers and a demonstration of broad stripe diode pumping
... using linear tapers of increased width to improve the diode-launch efficiency and reduced length to reduce the background propagation ...m-wide linear tapers investigated ...
5
Exchange Rate Forecasting Using Non-linear Threshold Models
... In this section, we check out-of-sample forecast performance of the two models. By checking multi-criteria (MSE, MAE, AMPE, and MAPE) on ARIMA and SETAR, we can compare the residual of these two models. For the mean ...
7
Analysis of a queueing model with service threshold
... distributions of inter-arrival times. For example, if the inter-arrival times are exponentially distributed, the letter M is used. This is due to the Markovian, or memory-less property of the exponential distribution. If ...
25
Frequentist model averaging for threshold models
... TAR model averaging, one could allow the largest lag order of the TAR model to be unbounded ...jackknife model averaging (JMA) estimator under heteroscedastic error settings, and Zhang et ...a ...
36
SPICE model of Memristor with threshold switching characteristics
... without threshold voltage and some suffer from ‘backing problems’. Threshold voltage switching is an important feature of memristor and responsible for logic operations and non- volatile ...SPICE ...
7
A phenomenological model of myelinated nerve with a dynamic threshold
... is to optimize the model for cochlear nerve data rather than for a single sciatic nerve fibre and.. we did not therefore exhaustively search for parameters for this fibre..[r] ...
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