Exponential Chain Ratio and Product type Estimators for Finite Population Mean under Double Sampling Scheme

Exponential Chain Ratio and Product type Estimators for Finite Population Mean under Double Sampling Scheme

Dr. Sanjib Choudhury M.Sc., M. Phil

Contact

Dr. B. K. Singh

Contact

Sanjib Choudhury

Contact

α North Eastern Regional Institute of Science and Technology

Exponential Chain Ratio and Product type Estimators for Finite Population Mean under Double Sampling Scheme

Article Fingerprint

ReserarchID

J2N0R

Exponential Chain Ratio and Product type Estimators for Finite Population Mean under Double Sampling Scheme Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

In this paper an exponential chain ratio and product type estimators in double sampling have been developed for estimating finite population mean of the study variable when the information on another additional auxiliary character is available along with the main auxiliary character. The bias and mean square error of the proposed estimators have been obtained in two different cases. Theoretical and empirical studies have been done to demonstrate the efficiency of the proposed strategy with respect to the strategies which utilizes the information on one and two auxiliary characteristics.

References

22 Cites in Article

Reference Format

M Ahmed,A Walid,A Ahmed (2003). Some estimators for finite population variance under two-phase sampling.
J Al-Jararha,M Ahmed (2002). The class of chain estimators for a finite population variance using double sampling.
Shashi Bahl,R Tuteja (1991). Ratio and Product Type Exponential Estimators.
C Bose (1943). Note on the sampling error in the method of double sampling.
L Chand (1975). Some ratio type estimator based on two or more auxiliary variables.
W Cochran (1977). Sampling techniques.
W Cochran (1942). Sampling Theory When the Sampling-Units are of Unequal Sizes.
Cary Isaki (1983). Variance Estimation Using Auxiliary Information.
C Kadilar,H Cingi (2003). A study on the chain ratio-type estimator.
B Kiregyera (1980). A chain ratio-type estimator in finite population in double sampling using two auxiliary variables.
B Kiregyera (1984). Regression-type estimators using two auxiliary variables and the model of double sampling from finite populations.
B Pradhan (2005). A Chain Regression Estimator in Two Phase Sampling Using Multiauxiliary Information.
B Prasad,H Singh (1990). Some improved ratio-type estimators of finite population variance in sample surveys.
B Prasad,H Singh (1992). Unbiased estimators of finite population variance using auxiliary information in sample surveys.
Housila Singh,Gajendra Vishwakarma (2007). Modified Exponential Ratio and Product Estimators for Finite Population Mean in Double Sampling.
H Singh,N Mathur,P Chandra (2009). A chain-type estimator for population variance using auxiliary variables in two-phase sampling.
S Singh,P Kataria (1990). An estimator of finite population variance.
Sarjinder Singh,Housila Singh,Lakshmi Upadhyaya (2006). Chain ratio and regression type estimators for median estimation in survey sampling.
V Singh,G Singh,D Shukla (1994). A class of chain ratio type estimators with two auxiliary variables under double sampling scheme.
Surendra Srivastava,Harbans Jhajj (1980). A Class of Estimators of the Population Mean in Survey Sampling Using Auxiliary Information.
Rani Srivnstava,S Srivastava,B Khare (1989). Chain ratio type estimator for ratio of two population m3ans using auxiliary characters.
Balkrishna Sukhatme,L Chand (1977). Some Ratio-Type Estimators in Two-Phase Sampling.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Sanjib Choudhury. 2012. \u201cExponential Chain Ratio and Product type Estimators for Finite Population Mean under Double Sampling Scheme\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 12 (GJSFR Volume 12 Issue F6): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJSFR Volume 12 Issue F6
Pg. 13- 24

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/GJSFR

Print ISSN 0975-5896

e-ISSN 2249-4626

Keywords

Auxiliary information Exponential chain ratio and product estimators in double sampling Mean square error Study variate

Submission ReceivedMarch 30, 2012
Peer Review Double Blind
Handling Editor
Accepted April 25, 2012
Published May 10, 2012

Version of record

v1.2

Issue date

June 16, 2012

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 107

Country: Unknown

Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision

Authors: Dr. B. K. Singh, Sanjib Choudhury (PhD/Dr. count: 1)

View Count (all-time): 151

Total Views (Real + Logic): 5386

Total Downloads (simulated): 2702

Publish Date: 2012 06, Sat

Monthly Totals (Real + Logic):

Month 1: 47 views
Month 2: 19 views
Month 3: 55 views
Month 4: 49 views
Month 5: 44 views
Month 6: 22 views
Month 7: 46 views
Month 8: 43 views
Month 9: 18 views
Month 10: 23 views
Month 11: 36 views
Month 12: 27 views
Month 13: 44 views
Month 14: 44 views
Month 15: 37 views
Month 16: 27 views
Month 17: 40 views
Month 18: 25 views
Month 19: 30 views
Month 20: 24 views
Month 21: 37 views
Month 22: 42 views
Month 23: 39 views
Month 24: 38 views
Month 25: 39 views
Month 26: 21 views
Month 27: 37 views
Month 28: 28 views
Month 29: 48 views
Month 30: 35 views
Month 31: 43 views
Month 32: 27 views
Month 33: 28 views
Month 34: 28 views
Month 35: 21 views
Month 36: 34 views
Month 37: 27 views
Month 38: 27 views
Month 39: 26 views
Month 40: 21 views
Month 41: 21 views
Month 42: 43 views
Month 43: 28 views
Month 44: 10 views
Month 45: 23 views
Month 46: 27 views
Month 47: 21 views
Month 48: 47 views
Month 49: 34 views
Month 50: 34 views
Month 51: 40 views
Month 52: 33 views
Month 53: 23 views
Month 54: 28 views
Month 55: 32 views
Month 56: 16 views
Month 57: 25 views
Month 58: 35 views
Month 59: 21 views
Month 60: 25 views
Month 61: 31 views
Month 62: 28 views
Month 63: 32 views
Month 64: 32 views
Month 65: 26 views
Month 66: 27 views
Month 67: 34 views
Month 68: 19 views
Month 69: 34 views
Month 70: 24 views
Month 71: 32 views
Month 72: 24 views
Month 73: 46 views
Month 74: 16 views
Month 75: 33 views
Month 76: 50 views
Month 77: 40 views
Month 78: 44 views
Month 79: 38 views
Month 80: 27 views
Month 81: 12 views
Month 82: 27 views
Month 83: 34 views
Month 84: 37 views
Month 85: 30 views
Month 86: 36 views
Month 87: 37 views
Month 88: 28 views
Month 89: 29 views
Month 90: 41 views
Month 91: 37 views
Month 92: 26 views
Month 93: 21 views
Month 94: 29 views
Month 95: 40 views
Month 96: 13 views
Month 97: 18 views
Month 98: 39 views
Month 99: 21 views
Month 100: 19 views
Month 101: 39 views
Month 102: 27 views
Month 103: 32 views
Month 104: 49 views
Month 105: 32 views
Month 106: 22 views
Month 107: 30 views
Month 108: 20 views
Month 109: 36 views
Month 110: 48 views
Month 111: 48 views
Month 112: 20 views
Month 113: 27 views
Month 114: 30 views
Month 115: 24 views
Month 116: 43 views
Month 117: 35 views
Month 118: 33 views
Month 119: 50 views
Month 120: 22 views
Month 121: 26 views
Month 122: 27 views
Month 123: 39 views
Month 124: 22 views
Month 125: 35 views
Month 126: 42 views
Month 127: 37 views
Month 128: 38 views
Month 129: 49 views
Month 130: 31 views
Month 131: 30 views
Month 132: 36 views
Month 133: 31 views
Month 134: 33 views
Month 135: 35 views
Month 136: 33 views
Month 137: 23 views
Month 138: 35 views
Month 139: 11 views
Month 140: 39 views
Month 141: 17 views
Month 142: 41 views
Month 143: 12 views
Month 144: 38 views
Month 145: 41 views
Month 146: 30 views
Month 147: 29 views
Month 148: 23 views
Month 149: 43 views
Month 150: 24 views
Month 151: 19 views
Month 152: 24 views
Month 153: 32 views
Month 154: 19 views
Month 155: 38 views
Month 156: 25 views
Month 157: 33 views
Month 158: 38 views
Month 159: 41 views
Month 160: 38 views
Month 161: 39 views
Month 162: 26 views
Month 163: 29 views
Month 164: 31 views
Month 165: 16 views
Month 166: 50 views
Month 167: 48 views

Total Views: 5386

Total Downloads: 2702

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]