Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information

Mohammad Saleh Ahmed; Walid A. Abu-Dayyeh; Hani Samawi

Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information

Mohammad Saleh Ahmed
, Walid A. Abu-Dayyeh
, Hani Samawi

Biostatistics, Epidemiology & Environmental Health Sciences

Sultan Qaboos University
Yarmouk University

Research output: Contribution to journal › Article › peer-review

Abstract

This paper derives a class of method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). A simulation study is carried out for a real data set to make a relative comparison.

Original language	American English
Journal	Journal of Applied Statistical Science
Volume	12
State	Published - 2003

Disciplines

Biostatistics

Keywords

Finite population
Multivariate auxiliary information
Quantile interval estimation

Cite this

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title = "Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information",

abstract = " This paper derives a class of method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). A simulation study is carried out for a real data set to make a relative comparison.",

keywords = "Finite population, Multivariate auxiliary information, Quantile interval estimation",

author = "\{Saleh Ahmed\}, Mohammad and Abu-Dayyeh, \{Walid A.\} and Hani Samawi",

year = "2003",

language = "American English",

volume = "12",

journal = "Journal of Applied Statistical Science",

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TY - JOUR

T1 - Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information

AU - Saleh Ahmed, Mohammad

AU - Abu-Dayyeh, Walid A.

AU - Samawi, Hani

PY - 2003

Y1 - 2003

N2 - This paper derives a class of method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). A simulation study is carried out for a real data set to make a relative comparison.

AB - This paper derives a class of method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). A simulation study is carried out for a real data set to make a relative comparison.

KW - Finite population

KW - Multivariate auxiliary information

KW - Quantile interval estimation

UR - https://www.researchgate.net/publication/261742599_Quantile_interval_estimation_of_finite_population_using_multivariate_auxiliary_information

M3 - Article

VL - 12

JO - Journal of Applied Statistical Science

JF - Journal of Applied Statistical Science

ER -

Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information

Abstract

Disciplines

Keywords

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