Results 71 to 80 of about 2,019,213 (203)

Confidence Region for Calibration Function Coefficients

Measurement Science Review, 2018
The paper deals with the comparative calibration model, i.e. with a situation when both variables are subject to errors. The calibration function is supposed to be a polynomial.
Ráboňová Petra, Wimmer Gejza
doaj   +1 more source

A note on the estimation of linear regression models with Heteroskedastic measurement errors [PDF]

I consider the estimation of linear regression models when the independent variables are measured with errors whose variances differ across observations, a situation that arises, for example, when the explanatory variables in a regression model are ...
Daniel G. Sullivan
core  

Robust Estimators of Errors-in-Variables Models: Part 1 [PDF]

SSRN Electronic Journal, 2004
It is well known that consistent estimators of errors-in-variables models require knowledge of the ratio of error variances. What is not well known is that a Joint Least Squares estimator is robust to a wide misspecification of that ratio. Through a series of Monte Carlo experiments we show that an easy-to-implement estimator produces estimates that ...
openaire   +3 more sources

Identification and Inference of Nonlinear Models Using Two Samples with Arbitrary Measurement Errors [PDF]

This paper considers identification and inference of a general latent nonlinear model using two samples, where a covariate contains arbitrary measurement errors in both samples, and neither sample contains an accurate measurement of the corresponding ...
Xiaohong Chen, Yingyao Hu
core  

Statistical Models with Uncertain Error Parameters

, 2019
In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable with a given ...
Cowan, Glen
core   +1 more source

Goodness-of-fit test in a multivariate errors-in-variables model $\mathit{A}\mathit{X}=\mathit{B}$

Modern Stochastics: Theory and Applications, 2016
We consider a multivariable functional errors-in-variables model $AX\approx B$, where the data matrices A and B are observed with errors, and a matrix parameter X is to be estimated.
Alexander Kukush, Yaroslav Tsaregorodtsev   +1 more
doaj   +1 more source

Life-Cycle Variation in the Association between Current and Lifetime Earnings [PDF]

Researchers in a variety of important economic literatures have assumed that current income variables as proxies for lifetime income variables follow the textbook errors-in-variables model.
Gary Solon, Steven Haider
core  

Errors in variables in simultaneous equation models [PDF]

Journal of Econometrics, 1977
Abstract The simultaneous equation model is considered when errors in variables are present in the exogenous variables. By means of a distributional assumption on the exogenous variables, the system is transformed into an augmented structural model.
openaire   +2 more sources

Modified inverse propensity weighting method to alleviate estimation errors in the model with multiple endogenous variables

MethodsX
Multiple mental health disorders affect on decisions of people. The disorders are also outcomes of other factors. Health studies commonly follow an inverse propensity weight (IPW) method to address estimation errors associated with the presence of one ...
Bhubaneswor Dhakal, Geraldine. F.H. McLeod, Andrea Insch, Joseph.M. Boden   +3 more
doaj   +1 more source

In-Flight Self-Alignment Method Aided by Geomagnetism for Moving Basement of Guided Munitions

Journal of Control Science and Engineering, 2015
Due to power-after-launch mode of guided munitions of high rolling speed, initial attitude of munitions cannot be determined accurately, and this makes it difficult for navigation and control system to work effectively and validly.
Shuang-biao Zhang, Xing-cheng Li, Zhong Su   +2 more
doaj   +1 more source