Comparison Between Separate and Combined Type Estimators for Estimating Total Number of In-milk Animals

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.