New Log Type Estimator in Simple Random Sampling

Abstract

The current study using a log class class estimates uses a helpful variant to estimate the number of people under a simple random sample. To find out the bias and square error of the proposed measurement scales take up to the first degree scale. Proposed categories of estimates are compared with the description of each unit with other emotional estimates and work better than comparative estimates.