Year: 2024 | Month: September | Volume 17 | Issue 3
Comparison Between Separate and Combined Type Estimators for Estimating Total Number of In-milk Animals
Anita Sarkar
Prachi Misra Sahoo
Ankit Kumar Singh
Tauqueer Ahmad
Ankur Biswas
Kaushal Kumar Yadav
DOI:10.30954/0974-1712.03.2024.4
Abstract:
In this article, an effort has been made to compare separate and combined type estimators for estimating the total number of in-milk animals. The Ratio and Regression estimation techniques in stratified random sampling are discussed. An empirical evaluation is conducted to demonstrate the relative performance of the separate and combined type Ratio and Regression estimators for the in-milk animal population using real survey data from Kerala state. The results indicate that the separate type estimator generally
outperforms the combined type estimator for both Ratio and Regression estimators across most categories
of in-milk animals. Specifically, there is an improvement of more than 10% with the separate type estimator compared to the combined type for the Ratio estimator, and an improvement of over 40% for the Regression estimator.
© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
Highlights
- The study investigated the comparison of separate and combined type estimators.
- A comparison of estimators was conducted to estimate the total population of in-milk animals by using the percentage of standard error.
- Empirical analysis was carried out using real survey data from Kerala state.
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