Related Experiment Video
Updated: Aug 14, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
On the use of historical estimates
1Department of Statistics, University of Haifa, Mount Carmel, 3498838 Haifa, Israel.
Abstract:
The use of historical, i.e., already existing, estimates in current studies is common in a wide variety of application areas. Nevertheless, despite their routine use, the uncertainty associated with historical estimates is rarely properly accounted for in the analysis. In this communication, we review common practices and then provide a mathematical formulation and a principled frequentist methodology for addressing the problem of drawing inferences in the presence of historical estimates. Three distinct variants are investigated in detail; the corresponding limiting distributions are found and compared. The design of future studies, given historical data, is also explored and relations with a variety of other well-studied statistical problems discussed.
Related Concept Videos
Estimation of the Physical Quantities
What are Estimates?
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
Prediction Intervals
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
Distributions to Estimate Population Parameter
Estimating Population Mean with Known Standard Deviation
The confidence interval estimate will have the form as follows:
(point estimate - error bound, point estimate +...
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the...

