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Understanding Biased Estimators in Statistics by SUBHAM SAGAR is a document available to read on EtoBox.

This document discusses key concepts in statistical estimation including: 1. An estimator is a statistic that is used to estimate an unknown parameter based on sample data. The sampling distribution of an estimator describes how it varies with random fluctuations in the data. 2. The bias of an estimator is the difference between its expected value and the true parameter value. An unbiased estimator has an expected value equal to the true parameter. 3. The mean squared error is a measure of an estimator

Author
SUBHAM SAGAR
Language
EN