Results 131 to 140 of about 2,293,164 (298)
errors-in-variables regression
Citation: 'errors-in-variables regression' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10150 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms ...
openaire +1 more source
Nonparametric regression for dependent data in the errors-in-variables problem [PDF]
We consider the nonparametric estimation of the regression functions for dependent data. Suppose that the covariates are observed with additive errors in the data and we employ nonparametric deconvolution kernel techniques to estimate the regression ...
Toshio Honda
core
We investigated the toxicity of 12 active compounds commonly found in herbal weight loss supplements (WLS) using human liver and colon cell models. Epigallocatechin‐3‐gallate was the only compound showing significant toxicity. Metabolic profiling revealed protein degradation, disrupted energy and lipid metabolism suggesting that the inclusion of EGCG ...
Emily C. Davies +3 more
wiley +1 more source
In this article, the complete convergence and the Kolmogorov strong law of large numbers for weighted sums of (α,β)\left(\alpha ,\beta )-mixing random variables are presented.
Hu Wenjing, Wang Wei, Wu Yi
doaj +1 more source
On the Sensitivity of Granger Causality to Errors-In-Variables, Linear Transformations and Subsampling. [PDF]
Anderson BDO, Deistler M, Dufour JM.
europepmc +1 more source
CRISPRI‐mediated gene silencing and phenotypic exploration in nontuberculous mycobacteria. In this Research Protocol, we describe approaches to control, monitor, and quantitatively assess CRISPRI‐mediated gene silencing in M. smegmatis and M. abscessus model organisms.
Vanessa Point +7 more
wiley +1 more source
Nonparametric identification and estimation of nonclassical errors-in-variables models without additional information [PDF]
This paper considers identification and estimation of a nonparametric regression model with an unobserved discrete covariate. The sample consists of a dependent variable and a set of covariates, one of which is discrete and arbitrarily correlates with ...
Arthur Lewbel, Xiaohong Chen, Yingyao Hu
core
Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Instrument Assisted Regression for Errors in Variables Models with Binary Response. [PDF]
Xu K, Ma Y, Wang L.
europepmc +1 more source
The Effectiveness of Forecasting Methods Using Multiple Information Variables [PDF]
This paper examines the effectiveness of forecasting methods using multiple information variables in forecasting the rate of changes in the consumer price index (CPI) and real GDP in Japan, and investigates the background of forecast performance ...
Kitamura, Tomiyuki, Koike, Ryoji
core

