Results 31 to 40 of about 2,032,232 (300)
Estimation of Nonlinear Errors-in-Variables Models
The Annals of Statistics, 1982 An estimation procedure is presented for the coefficients of the nonlinear functional relation, where observations are subject to measurement error. The distributional properties of the estimators are derived, and a consistent estimator of the covariance matrix is given.
Wolter, Kirk M., Fuller, Wayne A.
openaire +2 more sources
Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
, 2011 This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology and analytical chemistry, where the variables are subject ...
Alexandre G. Patriota +14 more
core +2 more sources
Scaled weighted total least-squares adjustment for partial errors-in-variables model
Journal of Geodetic Science, 2016 Scaled total least-squares (STLS) unify LS, Data LS, and TLS with a different choice of scaled parameter. The function of the scaled parameter is to balance the effect of random error of coefficient matrix and observation vector for the estimate of ...
Zhao J.
doaj +1 more source
Testing the suitability of polynomial models in errors-in-variables problems [PDF]
, 2007 A low-degree polynomial model for a response curve is used commonly in practice. It generally incorporates a linear or quadratic function of the covariate.
Hall, Peter, Ma, Yanyuan
core +3 more sources
Journal of Inequalities and Applications, 2020 In this paper, we estimate the mean of the partially linear single-index errors-in-variables model with missing response variables. The linear covariate is measured with additive error, therefore missing is not random.
Xin Qi, ZhuoXi Yu
doaj +1 more source
Consistency of the total least squares estimator in the linear errors-in-variables regression
Modern Stochastics: Theory and Applications, 2018 This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
doaj +1 more source
Journal of Inequalities and Applications, 2020 In this paper, we focus on the response mean of the partially linear varying-coefficient errors-in-variables model with missing response at random. A simulation study is conducted to compare jackknife empirical likelihood method with normal approximation
Yuye Zou, Chengxin Wu
doaj +1 more source
Prediction of treatments effects in a biased allocation model
Revstat Statistical Journal, 2005 Robbins and Zhang [15] provide consistent estimators of multiplicative treatment effects under a biased treatment allocation scheme, and illustrate their methodology within Poisson and binomial models.
Fernando J.M. Magalhães
doaj +1 more source
Statistical Modeling of Implicit Functional Relations
Stats, 2023 This study considers the statistical estimation of relations presented by implicit functions. Such structures define mutual interconnections of variables rather than outcome variable dependence by predictor variables considered in regular regression ...
Stan Lipovetsky
doaj +1 more source
Statistical post-processing of hydrological forecasts using Bayesian model averaging [PDF]
, 2018 Accurate and reliable probabilistic forecasts of hydrological quantities like runoff or water level are beneficial to various areas of society. Probabilistic state-of-the-art hydrological ensemble prediction models are usually driven with meteorological ...
Ayari, Mehrez El +2 more
core +2 more sources