Almost Unbiased Ratio and Product Type Estimators: A New Approach

P. K. Mahajan; Sarjinder Singh

doi:10.1002/bimj.4710390412

ScienceGate Book Chapters

JOURNAL ARTICLE

Almost Unbiased Ratio and Product Type Estimators: A New Approach

P. K. Mahajan Sarjinder Singh

Year: 1997 Journal: Biometrical Journal Vol: 39 (4)Pages: 509-516 Publisher: Wiley

DOI: 10.1002/bimj.4710390412

Get Full-Text PDF Get Analytical Report

Abstract

Abstract In this paper, we have proposed a new method, consisting of a linear variety of the estimators and a linear constraint to remove the bias appearing in the estimators of the ratio R = Y/X and product P = YX. The percent relative efficiency of proposed estimators has also been demonstrated with numerical illustrations.

Keywords:

Estimator Mathematics Product (mathematics) Statistics Efficiency Constraint (computer-aided design) Variety (cybernetics) Type (biology) Best linear unbiased prediction Applied mathematics Computer science Biology Artificial intelligence

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.25

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Survey Sampling and Estimation Techniques

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Almost Unbiased Ratio and Product Type Estimators: A New Approach

Abstract

Metrics

Citation History

Topics

Related Documents

Almost unbiased ratio and product type exponential estimators

Classes of almost unbiased ratio and product type estimators in two phase sampling

On a Class of Almost Unbiased Ratio Type Estimators

Almost unbiased ratio and product estimators based on interpenetrating subsamples

A Class of Almost Unbiased Estimators for Population Ratio and Product