👉 In statistics, "disestimation" refers to a situation where an estimator is unable to accurately estimate the population parameter due to sampling error or measurement error. This can occur when there are too many observations in a sample and the mean of the distribution does not reflect the true population parameter. In other words, if the sample size is too small, the estimate of the population parameter may be biased.
