Model-based integrated methods for quantitative estimation of soil salinity from hyperspectral remote sensing data: A case study of selected South African soils
Soil salinization is a land degradation process that leads to reduced agricultural yields. This
study investigated the method that can best predict electrical conductivity (EC) in dry soils …
study investigated the method that can best predict electrical conductivity (EC) in dry soils …
Robust calibration for estimating the population mean using stratified random sampling
Estimating the population mean is of prime concern in many studies, and calibrations are
popular choices. A robust calibration estimator estimates the mean using the minimum …
popular choices. A robust calibration estimator estimates the mean using the minimum …
Improved estimation of population variance in stratified successive sampling using calibrated weights under non-response
This paper introduces a new method to estimate the population variance of a study variable
in stratified successive sampling over two occasions, while accounting for random non …
in stratified successive sampling over two occasions, while accounting for random non …
Calibration weighting in stratified random sampling
A new calibration estimator is proposed to estimate the population mean in the stratified
random sampling. The corrected expression of Tracy et al.(2003) calibrated weights are …
random sampling. The corrected expression of Tracy et al.(2003) calibrated weights are …
Calibration estimator of population mean under stratified ranked set sampling design
N Koyuncu - Communications in Statistics-Theory and Methods, 2018 - Taylor & Francis
Calibration method adjusts the original design weights to improve the estimates by using
auxiliary information. In this article we have proposed new calibration estimators under …
auxiliary information. In this article we have proposed new calibration estimators under …
Calibration approach estimation of the mean in stratified sampling and stratified double sampling
Nidhi, BVS Sisodia, S Singh… - … in Statistics-Theory and …, 2017 - Taylor & Francis
Calibration estimation improves the precision of the estimates of population parameters by
incorporating specified auxiliary information. A class of calibration estimators has been …
incorporating specified auxiliary information. A class of calibration estimators has been …
New calibration estimator based on two auxiliary variables in stratified sampling
N Ozgul - Communications in Statistics-Theory and Methods, 2019 - Taylor & Francis
In recent years, calibration estimation has become an important field of research in survey
sampling. This paper proposes a new calibration estimator for the population mean in the …
sampling. This paper proposes a new calibration estimator for the population mean in the …
On the efficiency of ratio estimator over the regression estimator
It is well known that the ratio and product estimators have the limitation of having efficiency
not exceeding that of the linear regression estimator. This paper develops a new approach …
not exceeding that of the linear regression estimator. This paper develops a new approach …
Calibration estimation of population mean in stratified sampling using standard deviation
In this paper, a new improved calibration estimator for estimating the population mean in the
stratified random sampling using standard deviation of the auxiliary variable is proposed. A …
stratified random sampling using standard deviation of the auxiliary variable is proposed. A …
[PDF][PDF] Calibration estimator using different distance measures in stratified random sampling
N Koyuncu, C Kadilar - International Journal of Modern Engineering …, 2013 - academia.edu
∑ ∑ Page 1 International Journal of Modern Engineering Research (IJMER) www.ijmer.com
Vol.3, Issue.1, Jan-Feb. 2013 pp-415-419 ISSN: 2249-6645 www.ijmer.com 415 | Page Dr …
Vol.3, Issue.1, Jan-Feb. 2013 pp-415-419 ISSN: 2249-6645 www.ijmer.com 415 | Page Dr …