Results 31 to 40 of about 8,978,880 (312)

On errors-in-variables estimation with unknown noise variance ratio

open access: yes, 2006
We propose an estimation method for an errors-in-variables model with unknown input and output noise variances. The main assumption that allows identifiability of the model is clustering of the data into two clusters that are distinct in a certain ...
A. Kukush   +5 more
core   +1 more source

Estimation of the mean of the partially linear single-index errors-in-variables model with missing response variables

open access: yesJournal 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

open access: yesModern 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

Non-negative variance component estimation for the partial EIV model by the expectation maximization algorithm

open access: yesGeomatics, Natural Hazards & Risk, 2020
A difficulty in variance component estimation (VCE) is that the estimates may become negative, which is not acceptable in practice. This article presents two new methods for non-negative VCE that utilize the expectation maximization algorithm for the ...
Leyang Wang, Qiwen Wu
doaj   +1 more source

Jackknifing for partially linear varying-coefficient errors-in-variables model with missing response at random

open access: yesJournal 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

open access: yesRevstat 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

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Statistical Modeling of Implicit Functional Relations

open access: yesStats, 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

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Statistical Inference for the Heteroscedastic Partially Linear Varying-Coefficient Errors-in-Variables Model with Missing Censoring Indicators

open access: yesDiscrete Dynamics in Nature and Society, 2021
In this paper, we focus on heteroscedastic partially linear varying-coefficient errors-in-variables models under right-censored data with censoring indicators missing at random.
Yuye Zou, Chengxin Wu
doaj   +1 more source

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