Results 31 to 40 of about 991,877 (258)

Nearest neighbour imputation under single index models

open access: yesStatistical Theory and Related Fields, 2019
A popular imputation method used to compensate for item nonresponse in sample surveys is the nearest neighbour imputation (NNI) method utilising a covariate to defined neighbours.
Jun Shao, Lei Wang
doaj   +1 more source

Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery

open access: yesRemote Sensing, 2021
Unmanned aerial vehicle-based multispectral imagery including five spectral bands (blue, green, red, red-edge, and near-infrared) for a rice field in the ripening stage was used to develop regression models for predicting the rice yield and protein ...
Yeseong Kang   +6 more
doaj   +1 more source

The Single Index Market Model in Agriculture [PDF]

open access: yesNortheastern Journal of Agricultural and Resource Economics, 1988
This study illustrates the differences in empirical results due to data measurements and estimating procedures when applying the single index market model in agriculture. Gross and net return betas along with systematic and unsystematic risk proportions are estimated and found to be different.
Gempesaw, Conrado M., II   +3 more
openaire   +2 more sources

A review of water quality index models and their use for assessing surface water quality

open access: yesEcological Indicators, 2021
The water quality index (WQI) model is a popular tool for evaluating surface water quality. It uses aggregation techniques that allow conversion of extensive water quality data into a single value or index.
Md. Galal Uddin   +2 more
doaj   +1 more source

The Single-Index/Cox Mixture Cure Model [PDF]

open access: yesBiometrics, 2018
AbstractIn survival analysis, it often happens that a certain fraction of the subjects under study never experience the event of interest, that is, they are considered “cured.” In the presence of covariates, a common model for this type of data is the mixture cure model, which assumes that the population consists of two subpopulations, namely the cured
Maïlis Amico   +2 more
openaire   +2 more sources

A single-index model with multiple-links

open access: yesJournal of Statistical Planning and Inference, 2020
In a regression model for treatment outcome in a randomized clinical trial, a treatment effect modifier is a covariate that has an interaction with the treatment variable, implying that the treatment efficacies vary across values of such a covariate.
Park, Hyung   +3 more
openaire   +3 more sources

Bayesian quantile regression for single-index models [PDF]

open access: yesStatistics and Computing, 2012
Using an asymmetric Laplace distribution, which provides a mechanism for Bayesian inference of quantile regression models, we develop a fully Bayesian approach to fitting single-index models in conditional quantile regression. In this work, we use a Gaussian process prior for the unknown nonparametric link function and a Laplace distribution on the ...
Yuao Hu, Robert B. Gramacy, Heng Lian
openaire   +4 more sources

Score estimation in the monotone single‐index model [PDF]

open access: yesScandinavian Journal of Statistics, 2018
AbstractWe consider estimation in the single‐index model where the link function is monotone. For this model, a profile least‐squares estimator has been proposed to estimate the unknown link function and index. Although it is natural to propose this procedure, it is still unknown whether it produces index estimates that converge at the parametric rate.
Fadoua Balabdaoui   +2 more
openaire   +3 more sources

On Partially Linear Single-Index Models with Missing Response and Error-in-Variable Predictors

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
In this paper, we consider a partially linear single-index model when missing responses and nonlinear regressors with measurement error are taken into account.
Tsung-Lin Cheng   +3 more
doaj   +1 more source

Combining Random Forest and XGBoost Methods in Detecting Early and Mid-Term Winter Wheat Stripe Rust Using Canopy Level Hyperspectral Measurements

open access: yesAgriculture, 2022
Appropriate modeling methods and feature selection algorithms must be selected to improve the accuracy of early and mid-term remote sensing detection of wheat stripe rust.
Linsheng Huang   +6 more
doaj   +1 more source

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