Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion

A. Audu; A. Gidado; N. S. Dauran; S. A. Abdulazeez; M. A. Yunusa and I. Abubakar

doi:10.4314/njbas.v31i1.2

2023, Vol: 31, Issue: 1

31 / 1Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles

« Previous Article

Original Research

Nig. J. Basic Appl. Sci.. 2023; 31(1): 8-25

doi: 10.4314/njbas.v31i1.2

Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion

A. Audu, A. Gidado, N. S. Dauran, S. A. Abdulazeez, M. A. Yunusa and I. Abubakar.

Abstract
Auxiliary variables correlated with the study variables have been identified to be useful in improving the efficiency of ratio, product and regression estimators both at planning and estimation stages. The existing regression-based estimators are functions of auxiliary variables which are sensitive to outliers. In this paper, a modified class of estimators is proposed using robust nonconventional measures of dispersion which are robust against outliers or extreme values. The properties (Biases and Mean Squared Errors (MSEs)) of the modified class of estimator were derived up to the first order of approximation using Taylor series approach. The empirical studies were conducted using stimulation to investigate the efficiency of the proposed estimators over the efficiency of the existing estimators. The results revealed that the proposed estimators have minimum MSEs and higher Percentage Relative Efficiencies (PREs) among all the competing estimators. These results implied that the proposed estimators are more efficient and can produce better estimate of the population mean compared to other existing estimators considered in the study. Therefore, it can be concluded that proposed estimators have better predictive power for estimating population mean when the study (interest) variables are characterized with outliers or extreme values.

Key words: Robust Estimators, Non-conventional Measures, Efficiency, Outliers

	ARTICLE TOOLS
	Abstract
	PDF Fulltext
	How to cite this article
	Citation Tools
	Related Records
	Articles by A. Audu Articles by A. Gidado Articles by N. S. Dauran Articles by S. A. Abdulazeez Articles by M. A. Yunusa and I. Abubakar
	on Google
	on Google Scholar

How to Cite this Article

Pubmed Style

Audu A, Gidado A, Dauran NS, Abdulazeez SA, . Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nig. J. Basic Appl. Sci.. 2023; 31(1): 8-25. doi:10.4314/njbas.v31i1.2

Web Style

Audu A, Gidado A, Dauran NS, Abdulazeez SA, . Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. https://www.njbas-udus.com/?mno=18870 [Access: September 15, 2023]. doi:10.4314/njbas.v31i1.2

AMA (American Medical Association) Style

Audu A, Gidado A, Dauran NS, Abdulazeez SA, . Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nig. J. Basic Appl. Sci.. 2023; 31(1): 8-25. doi:10.4314/njbas.v31i1.2

Vancouver/ICMJE Style

Audu A, Gidado A, Dauran NS, Abdulazeez SA, . Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nig. J. Basic Appl. Sci.. (2023), [cited September 15, 2023]; 31(1): 8-25. doi:10.4314/njbas.v31i1.2

Harvard Style

Audu, A., Gidado, . A., Dauran, . N. S., Abdulazeez, . S. A. & (2023) Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nig. J. Basic Appl. Sci., 31 (1), 8-25. doi:10.4314/njbas.v31i1.2

Turabian Style

Audu, A., A. Gidado, N. S. Dauran, S. A. Abdulazeez, and M. A. Yunusa and I. Abubakar. 2023. Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nigerian Journal of Basic and Applied Sciences, 31 (1), 8-25. doi:10.4314/njbas.v31i1.2

Chicago Style

Audu, A., A. Gidado, N. S. Dauran, S. A. Abdulazeez, and M. A. Yunusa and I. Abubakar. "Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion." Nigerian Journal of Basic and Applied Sciences 31 (2023), 8-25. doi:10.4314/njbas.v31i1.2

MLA (The Modern Language Association) Style

APA (American Psychological Association) Style

Audu, A., Gidado, . A., Dauran, . N. S., Abdulazeez, . S. A. & (2023) Modified Robust Regression-Type Estimators with Multi-Auxiliary Variables Using Non-Conventional Measures of Dispersion. Nigerian Journal of Basic and Applied Sciences, 31 (1), 8-25. doi:10.4314/njbas.v31i1.2

Most Viewed Articles

Isolation and Identification of Fungi Associated with the Spoilage of Sweet Orange (Citrus Sinensis) Fruits In Sokoto State
I.Y. Tafinta, K.Shehu, H. Abdulganiyyu, A.M. Rabe and A. Usman
Nig. J. Basic Appl. Sci.. 2013; 21(3): 193-196
» Abstract

Heavy Metals and Physicochemical Properties of Soils in Kano Urban Agricultural Lands
U.M. Dawaki, A.U. Dikko, S.S. Noma and U. Aliyu
Nig. J. Basic Appl. Sci.. 2013; 21(3): 239-246
» Abstract

Study on Biochemical Indices of Liver Function Tests of Albino Rats Supplemented with Three Sources of Vegetable Oils [English]
K.E. Imafidon and L.O. Okunrobo
Nig. J. Basic Appl. Sci.. 2012; 20(2): 105-110
» Abstract

Effect of Sources of Organic Manure on Growth and Yields of Okra (Abelmoschus esculentus L.) in Sokoto, Nigeria [English]
R.A. Tiamiyu, H.G. Ahmed and A.S. Muhammad
Nig. J. Basic Appl. Sci.. 2012; 20(3): 213-216
» Abstract

Optimum Temperature and Thermal Stability of Crude Polyphenol Oxidase from some Common Fruits
AB Bello, MS Sule
Nig. J. Basic Appl. Sci.. 2012; 20(1): 27-31
» Abstract

Most Downloaded

The Swelling Behaviour of Polystyrene (PS)/ Polyvinylacetate (Pvac) Blends in Different Solvents and the Effects of -Cellulose used as Filler on the Electrical Conductivity. [English]
P. A. P. Mamza and B.T. Nwufo
Nig. J. Basic Appl. Sci.. 2008; 16(2): 165 -
» Abstract

Characterization and Classification of Soils on an Agricultural landscape in Dingyadi District, Sokoto State, Nigeria
M.B. Sharu, M. Yakubu, S.S. Noma and A.I.Tsafe
Nig. J. Basic Appl. Sci.. 2013; 21(2): 137 -147
» Abstract

Optimization of Steam Distillation of Essential Oil of Eucalyptus tereticornis by Response Surface Methodology [English]
M.S. Galadima, A.S. Ahmed, A.S. Olawale and I. M. Bugaje
Nig. J. Basic Appl. Sci.. 2012; 20(4): 368-372
» Abstract

Biogas production through Co-digestion of palm oil mill effluent with cow manure
Umar Hayatu Sidik, Firdausi Bin Razali, Sharifah Rafidah Wan Alwi, Fadimtu Maigari
Nig. J. Basic Appl. Sci.. 2013; 21(1): 79-84
» Abstract

Most Cited Articles



About Nigerian Journal of Basic and Applied Sciences Nigerian Journal of Basic and Applied Sciences (NJBAS) publishes original research articles in the field of Agriculture, Biological and Physical Sciences, ... Read more. For best results, please use Internet Explorer or Google Chrome.	Contact Information Nigerian Journal of Basic and Applied Sciences (NJBAS) Usmanu Danfodiyo University, Sokoto P.M.B. 2346, Sokoto, Nigeria email: njbas@udusok.edu.ng; publicationeditor.njbas@udusok.edu.ng Prof. A. A. Aliero Editor-in-Chief +2348034635146 Dr. M. L. Mohammed Publication Editor +2348032303517 Dr. M. E. Sadiq Managing Editor +2349091113143; ;

POLICIES & JOURNAL LINKS

About Nigerian Journal of Basic and Applied Sciences

Contact Information

How to cite this article