IDEAS home Printed from https://ideas.repec.org/a/csb/stintr/v15y2014i2p221-230.html
   My bibliography  Save this article

Some Chain-type Exponential Estimators of Population Mean in Two-Phase Sampling

Author

Listed:
  • G. N. Singh
  • D. Majhi

Abstract

Using the information on two-auxiliary variables, three different exponential chain-type estimators of population mean of study variable have been proposed in two-phase (double) sampling. Properties of the proposed estimators have been studied and their performances are examined with respect to several well known chain-type estimators. Empirical studies are carried out to support the theoretical results.

Suggested Citation

  • G. N. Singh & D. Majhi, 2014. "Some Chain-type Exponential Estimators of Population Mean in Two-Phase Sampling," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 15(2), pages 221-230, March.
    • Handle: RePEc:csb:stintr:v:15:y:2014:i:2:p:221-230
    as

    Download full text from publisher

    File URL: http://index.stat.gov.pl/repec/files/csb/stintr/csb_stintr_v15_2014_i2_n4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. B. Kiregyera, 1984. "Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 31(1), pages 215-226, December.
    2. Sat Gupta & Javid Shabbir, 2008. "On improvement in estimating the population mean in simple random sampling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(5), pages 559-566.
    3. B. Kiregyera, 1980. "A chain ratio-type estimator in finite population double sampling using two auxiliary variables," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 27(1), pages 217-223, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. G. N. Singh & Amod Kumar & Gajendra K. Vishwakarma, 2018. "Development Of Chain-Type Exponential Estimators For Population Variance In Twophase Sampling Design In Presence Of Random Non-Respons," Statistics in Transition New Series, Polish Statistical Association, vol. 19(4), pages 575-596, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Housila P. Singh & Gajendra K. Vishwakarma, 2007. "A general class of estimators in successive sampling," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(2), pages 201-227.
    2. Thakur Narendra Singh & Shukla Diwakar, 2022. "Missing data estimation based on the chaining technique in survey sampling," Statistics in Transition New Series, Polish Statistical Association, vol. 23(4), pages 91-111, December.
    3. Singh Housila P. & Espejo M. Ruiz, 2000. "An Improved Class Of Chain Regression Estimators In Two Phase Sampling," Statistics & Risk Modeling, De Gruyter, vol. 18(2), pages 205-218, February.
    4. G. Diana & C. Tommasi, 2003. "Optimal estimation for finite population mean in two-phase sampling," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 12(1), pages 41-48, February.
    5. U. Srivastava & K. Kumar & B. B. Khare, 2012. "Chain ratio estimator for the population mean in the presence of non-response," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(3), pages 495-518, December.
    6. Sardar Hussain & Sohaib Ahmad & Mariyam Saleem & Sohail Akhtar, 2020. "Finite population distribution function estimation with dual use of auxiliary information under simple and stratified random sampling," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-30, September.
    7. B. K. Singh & S. Choudhury, 2012. "A class of chain ratio-cum-dual to ratio type estimator with two auxiliary characters under double sampling in sample surveys," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(3), pages 519-536, December.
    8. Surya K. Pal & Housila P. Singh, 2017. "Estimation of finite population mean using auxiliary information in systematic sampling," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1392-1398, November.
    9. Ndlovu N & Mafumbate J & Mafuka A & Brena M, 2017. "The Impact of the Buy Zimbabwe Campaign on Performance of Zimbabwean Companies in the Retail Sector," Journal of Economics and Behavioral Studies, AMH International, vol. 8(6), pages 227-236.
    10. B. B. KHARE & Habib ur REHMAN, 2014. "Generalized Ratio Cum Regression Type Estimator For Population Mean Using Auxiliary Variable With Double Sampling In The Presence Of Non Response," Journal of Social and Economic Statistics, Bucharest University of Economic Studies, vol. 3(1), pages 1-9, JULY.
    11. Giancarlo Diana & Marco Giordan & Pier Perri, 2011. "An improved class of estimators for the population mean," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(2), pages 123-140, June.
    12. Ramkrishna Solanki & Housila Singh, 2015. "Efficient classes of estimators in stratified random sampling," Statistical Papers, Springer, vol. 56(1), pages 83-103, February.
    13. Kumari Priyanka & Pidugu Trisandhya & Richa Mittal, 2018. "Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques," METRON, Springer;Sapienza Università di Roma, vol. 76(2), pages 203-230, August.
    14. Diwakar Shukla, 2002. "F-T estimator under two-phase sampling," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 97-106.
    15. Singh G. N. & Kumar Amod & Vishwakarma Gajendra K., 2018. "Development Of Chain-Type Exponential Estimators For Population Variance In Two-Phase Sampling Design In Presence Of Random Non-Response," Statistics in Transition New Series, Polish Statistical Association, vol. 19(4), pages 575-596, December.
    16. G. N. Singh & Amod Kumar & Gajendra K. Vishwakarma, 2018. "Development Of Chain-Type Exponential Estimators For Population Variance In Twophase Sampling Design In Presence Of Random Non-Respons," Statistics in Transition New Series, Polish Statistical Association, vol. 19(4), pages 575-596, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:csb:stintr:v:15:y:2014:i:2:p:221-230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Beata Witek (email available below). General contact details of provider: https://edirc.repec.org/data/gusgvpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.