Karl Jones: Created page with "In the statistical theory of estimation, the '''German tank problem''' involves estimating the maximum of a discrete uniform distribution from sampli..."

2016-04-26T00:22:17Z

Created page with "In the statistical theory of estimation, the '''German tank problem''' involves estimating the maximum of a discrete uniform distribution from sampli..."

New page

In the [[statistical theory]] of [[Estimation theory|estimation]], the '''German tank problem''' involves estimating the maximum of a discrete uniform distribution from sampling without replacement, due to its application in [[World War II]] to the estimation of the number of German tanks.

== Description ==

The Allies attempted to estimate the number of tanks being produced. To do this, they used the serial numbers on captured or destroyed tanks.

The statistical approach proved to be far more accurate than conventional intelligence methods, and the phrase "German tank problem" became accepted as a descriptor for this type of statistical analysis.

This analysis shows the approach that was used and illustrates the difference between frequentist inference and Bayesian inference.

Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.

== See also ==

* [[Identifier]]

== External links ==

* [https://en.wikipedia.org/wiki/German_tank_problem German tank problem] @ Wikipedia

[[Category:Mathematics]]
[[Category:Statistics]]
[[Category:War]]

German tank problem - Revision history

Karl Jones: Created page with "In the statistical theory of estimation, the '''German tank problem''' involves estimating the maximum of a discrete uniform distribution from sampli..."