Errors-in-variables model - WA - 1999 () Citation Context ...eral level. At a more detailed level, maintainability is not useful enough and may be viewed differently [3, 30].sIndividual attempts have been made by researchers to create models of maintainability =-=[1, 2, 7, 9, 10, ...
errors-in-variablesinstrumental variablesleast square estimatormean square errorPitman nearnessWald''s estimatorThe bivariate errors-in-variables model is considered with a new choice of instrumental variables. A new estimate of the regression coefficient, based on these instrumental variables, has ...
varying coefficient partially linear modelThe purpose of this paper is twofold. First, we investigate estimations in varying-coefficient partially linear errors-in-variables models with covariates missing at random. However, the estimators are often biased due to the existence of measurement errors, the...
www.dictall.com|基于 1 个网页 2. 误差变数模式 ...差(random error)时,则我们就 有一个误差变数模式(errors-in-variables model). 根据自变数的性质, 误差变数模式可分为二大类… ir.lib.nthu.edu.tw|基于 1 个网页 例句
Abstract It has long been known that the Errors-In-Variables (EIV) Model is a special case of the nonlinear Gauss–Helmert Model (GHM) and can, therefore, be adjusted by standard least-squares techniques in iteratively linearized GH-Models, which is the approach by Helmert (Adjustment Computat...
Randomly weighted LAD-test62E1762F10The authors consider the partially linear model relating a response Y to predictors (x, T) with a mean function x T β 0+g(T) when the x′s are measured with an additive error. The estimators of parameter β 0 are derived by using the nearest ...
Identification of dynamic errors-in-variables model: Approaches based on two-dimensional ARMA modelling of the data Automatica, 39 (5) (May 2003), pp. 929-935 View PDFView articleView in Scopus Söderström et al., August 2002 T. Söderström, U. Soverini, K. Mahata Perspectives on...
errors-in-variables modelpolynomial modelstrong consistencyreplicated observations1]Kendall, M. G., Stuart, A., The Advanced Theory of Statistics, Vol. 2, New York: Charles Griffin, 1979. [2]Fuller, W. A., Measurement Error Models, New York: Wiley, 1987. [3]Carroll, R. J., Ruppert D...
TheGeneralIVRegressionModel CheckingInstrumentValidity Application WhereDoValidInstrumentsComeFrom? Threeimportantthreatstointernalvalidityare: omittedvariablebiasfromavariablethatiscorrelatedwithXbutisunobserved,socannotbeincludedintheregression; simultaneouscausalitybias(XcausesY,YcausesX); ...
Testing Lack-of-fit for a Polynomial Errors-in-variables Model,Testing Lack-of-fit for a Polynomial Errors-in-vari..