Results 11 to 20 of about 15,713,609 (295)

On Estimating Quantiles Using Auxiliary Information [PDF]

open access: yesJournal of Official Statistics, 2015
Abstract We propose a transformation-based approach for estimating quantiles using auxiliary information. The proposed estimators can be easily implemented using a regression estimator. We show that the proposed estimators are consistent and asymptotically unbiased.
Berger, Yves G., Francisco Munoz, Juan
openaire   +5 more sources

A new method for modelling precipitation variability in relation to climate change

open access: yesJournal of Water and Climate Change, 2023
Climate change is one of the main consequences of anthropogenic activities. Since the 1950s, gradual changes and an increase in climate warming have been observed.
Sadia Qamar   +2 more
doaj   +1 more source

An Enhanced Auxiliary Information‐Based EWMA‐t Chart for Monitoring the Process Mean

open access: yesApplied Sciences, 2020
The exponentially weighted moving average t chart using auxiliary information (AIB-EWMA-t chart) is an effective approach for monitoring small process mean shifts when the process standard deviation is unstable or poorly estimated. To further enhance the
Jen‐Hsiang Chen, Shin‐Li Lu
doaj   +1 more source

Regional drought assessment using improved precipitation records under auxiliary information

open access: yesTellus: Series A, Dynamic Meteorology and Oceanography, 2020
Changes in the climate and weather conditions, as well as rising earth’s average temperature are likely to escalate deterioration of global drought occurrence. Drought is considered an interwoven natural disaster composed by a number of different factors,
He Jiang   +5 more
doaj   +1 more source

Estimation of quantile regression model without longitudinal data and with auxiliary information

open access: yesXi'an Gongcheng Daxue xuebao, 2021
In order to study the estimation of the quantile regression model with missing longitudinal data and auxiliary information, the parameter estimation and asymptotic normality of linear quantile regression model are given by using inverse probability ...
Yuting ZHANG   +2 more
doaj   +1 more source

Social Recommendation Based on Multi-Auxiliary Information Constrastive Learning

open access: yesMathematics, 2022
Social recommendation can effectively alleviate the problems of data sparseness and the cold start of recommendation systems, attracting widespread attention from researchers and industry.
Feng Jiang   +5 more
doaj   +1 more source

Application of Balanced Sampling, Non-Response and Calibrated Estimator

open access: yesLithuanian Journal of Statistics, 2016
The aim of this paper is to study the interplay between balanced sampling, non-response and calibratedestimator by simulation. The results of seven strategies, embracing a combination of balanced sampling via the cubemethod, simple random cluster ...
Ieva Dirdaitė, Danutė Krapavickaitė
doaj   +1 more source

Multi-modal Recommendation System with Auxiliary Information

open access: yes, 2022
15 pages, 3 figures, 3 tables, to be published in the SACAIR CCIS Springer proceedings ...
Mufhumudzi Muthivhi   +2 more
openaire   +3 more sources

An EWMA-DiD Control Chart to Capture Small Shifts in the Process Average Using Auxiliary Information

open access: yesTechnologies, 2018
Among the Statistical Process Control (SPC) techniques, control charts are considered to be high weight-age due to their effectiveness in process variation.
Muhammad Anwar Mughal   +2 more
doaj   +1 more source

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