Generalised Estimating Equation Model: Properties and Use
Use of ssq rotational invariant of magnetotelluric impedances for estimating informative properties for galvanic distortion
... reliable model of the regional mean 1D conduc- tivity ...Groom–Bailey model of galvanic distortion, and the apparent gains were used to approximate the magnitude of the site gain in some cases presented in ...
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Nonequilibrium generalised Langevin equation for the calculation of heat transport properties in model 1D atomic chains coupled to two 3D thermal baths
... Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised ...
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Closed form representations and properties of the generalised Wendland functions
... (3.10) With this representation we see that the smoothness of ϕ ℓ,k is dictated by the highest order term in the odd polynomial part. Furthermore, we can use this expression to deduce that the first k odd ...
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The use of Markov operators to constructing generalised probabilities
... general model using sets of Markov operators that preserve desir- ability of ...our model does not assume any specific interpretation; moreover, we have argued that any desirability preserving ...
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Higher order properties of GMM and generalised empirical likelihood estimators
... single equation where bias from the estimating the weighting matrix is not important, GEL estimators should all have smaller bias than ...to use, although the recent theoretical work of Donald, ...
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A Modified Model-Selection Criteria in a Generalised Estimating Equation for Latent Class Regression Models
... The generalised estimating equation (GEEs) approach relaxes the role of “true” covariance structure by introducing a working covariance; as a result, there is no need to establish the joint ...
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Estimating Crash Rate of Freeway Segments Using Simultaneous Equation Model
... To simplify measurement, each horizontal curve observed was treated as a simple curve. Arc and chord length were recorded in Google Earth. The use of ArcGIS Curve Calculator under the COGO toolbar provided curve ...
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OZO v.1.0: software for solving a generalised omega equation and the Zwack–Okossi height tendency equation using WRF model output
... omega equation (Räisänen, 1995) while height tenden- cies are calculated using the Zwack–Okossi tendency equa- tion (Zwack and Okossi, 1986; Lupo and Smith, ...to use out- put from the WRF model ...
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Estimating multivariate GARCH and stochastic correlation models equation by equation
... on estimating equation-by-equation the volatility parameters of the individual returns by quasi-maximum likelihood in a first step, and estimating the correlations based on ...
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Estimating bank default with generalised extreme value regression models
... efficient use of the available information, leveraging what contained in the tail of the default distribution, rather than in its ...GEV model to 783 Italian banks, ob- served over the period ...this ...
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Using Entropy Working Correlation Matrix in Generalized Estimating Equation for Stock Price Change Model
... If the probabilities can be used rather than raw results, entropy can be calculated for one variable and can also be used for researching dependence between two or more variables. Due to this future of entropy, it could ...
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A Mathematical Model for Estimating Imports and Exports in the Philippines: A Normal Estimation Equation for Multiple Linear Regression
... hence overall, the regression line relatively describes the data well. [11] According to Lucun Yang (2011), limited empirical work has been done to the diverging current account balances of the individual emerging Asian ...
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Tuberculosis risk factors in South Africa, 2008 to 2017: A Generalised Estimating Equations approach
... the use of an independent correlation matrix means that within an individual, the probabilities of infection over time are independent but infections are correlated within ...and model- based standard ...
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Estimating structural mean models with multiple instrumental variables using the generalised method of moments
... The key to this formulation is simply to treat the expected exposure-free potential outcome E(Y 0 ) as a parameter. For simple SMMs without continuous baseline covariates, these estimators are semipara- metrically ...
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Estimating Structural Mean Models with Multiple Instrumental Variables Using the Generalised Method of Moments
... timator of the type widely used in econometrics. The key to this formulation is simply to treat the expected exposure-free potential outcome E(Y 0 ) as a parameter. For simple SMMs without continuous baseline covari- ...
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Estimating Structural Mean Models with Multiple Instrumental Variables using the Generalised Method of Moments
... that use instrumental variables to identify causal parameters, but there has been little work on using these models with multiple instruments, particularly for multiplicative and logistic ...the generalised ...
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Low-dimensional modelling of a generalised Burgers equation
... Burgers equation is one of the simplest nonlinear partial differential equations—it combines the basic processes of diffusion and nonlinear ...the generalised Burgers equations for bounded smooth time ...
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On stochastic differential equations and a generalised Burgers equation
... Abstract In this paper, we discuss a link of Itˆ o’s stochastic differential equa- tions to nonlinear partial differential equations of Burgers type. Un- der certain conditions, we derive a generalised Burgers ...
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A Generalised Model of Monopsony
... 3. The Data The data used in this paper comes from the Labour Turnover Survey conducted by the UK Institute for Personnel Development every year from 1997 to 1999. These surveys were the latest in a series of postal ...
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