PUBLICATIONS

  • ISSN No. Print
  • ISSN No. Online
  • Registration No.
  • Periodicity
  • Print
  • Online
  • Website

Variance Estimation Using Quality Characteristic

DOI
10.15415/mjis.2017.52011

AUTHORS

Prabhakar Mishra and Rajesh Singh

ABSTRACT

This paper deals with estimation of unknown population variance of study variable (y) using auxiliary qualitative characteristic. The properties of the proposed class of estimators is studied and is supported through two real data sets.

KEYWORDS

Mean square error; proportion; population variance; percent relative efficiency; simple random sampling without replacement.

REFERENCES

  • Das, A. K. and Tripathi, T. P. (1978). Use of auxiliary information in estimating the finite population variance. Sankhya, 40 (C), 139–148.
  • Isaki, C. T. (1983). Variance estimation using auxiliary information. Journal of the American Statistical Association, 78 (381), 117–123.
  • Jhajj, H. S., Sharma, M. K. and Grover, L. K., (2006). A family of estimators of population mean using information on auxiliary attribute. Pakistan Journal of Statistics, 22 (1), 43–50.
  • Kadilar, C. and Cingi, H. (2007). Improvement in variance estimation in simple random sampling. Communications in Statistics—Theory and Methods, 36 (11), 2075–2081.
  • Koyuncu, N. (2012). Efficient estimators of population mean using auxiliary attributes. Applied Mathematics and Computation, Vol. 218 , no.22, pp. 10900–10905.
  • Mukhopadhyaya, P. (2009). Theory and methods of survey sampling. Prentice Hall of India, New Delhi, India.
  • Prasad, B. and Singh, H. P. (1990). Some improved ratio-type estimators of finite population variance in sample surveys. Communications in Statistics-Theory and Methods, 19 (3), 1127–1139.
  • Singh, R. and Malik, S. (2014). Improved estimation of population variance using information on auxiliary attributes in simple random sampling. Applied Mathematics and Computation, 235 , 43–49.
  • Singh, H. P., Upadhyaya, L. N. and Namjoshi, U. D. (1988). Estimation of finite population variance. Current Science, 57 (24), 1331–1334.
  • Singh, R., Chauhan, P., Smarandache, F., & Sawan, N. (2007). Auxiliary information and a priori values in construction of improved estimators. Infinite Study.
  • Sukhatme, P. V. and Sukhatme, B. V. (1970). Sampling theory of surveys with applications. Iowa State University Press, Ames, U.S.A.
  • Sahai, A. and Ray, S. K. (1980). An efficient estimator using auxiliary information. Metrika, Vol. 27 , no.1, pp. 271–275.
  • Singh, S. (2003). Advanced Sampling Theory with Application: How Michael “Selected’’ Amy Vol. 1 & 2 , pp. 1–1247, Kluwer Academic Publisher, The Netherlands.
  • Singh, R. and Kumar, M. (2011): A note on transformations on auxiliary variable in survey sampling. Mod. Assis. Stat. Appl., 6 :1, 17–19
Call for Papers Publication Policy Instructions to the Authors Paper Submission Subscription Form Copyright Form Author Profile Format Sample paper Recommend to a Librarian Patrons & Leadership

Refereed Research Journal

Plagiarism Checked by

Member of CrossRef

Indexing

Call for Papers

Invites papers for next issue of Mathematical Journal of Interdisciplinary Sciences

Frequency

Mathematical Journal of Interdisciplinary Sciences is published Bi-Annually

Number-1 September
Number-2 March