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# Circular error probable

In the military science of ballistics, circular error probable (CEP) (also circular error probability or circle of equal probability) is a measure of a weapon system's precision. 

## Accuracy and precision

Precision is a description of random errors, a measure of statistical variability.

## Ammunition

Ammunition (informally ammo) is the material fired, scattered, dropped or detonated from any weapon.

## Ballistics

Ballistics is the field of mechanics that deals with the launching, flight, behavior, and effects of projectiles, especially bullets, unguided bombs, rockets, or the like; the science or art of designing and accelerating projectiles so as to achieve a desired performance.

## Bias of an estimator

In statistics, the bias (or bias function) of an estimator is the difference between this estimator's expected value and the true value of the parameter being estimated.

## Circle

A circle is a simple closed shape.

## Clear and Present Danger (film)

Clear and Present Danger is a 1994 American spy thriller film directed by Phillip Noyce and based on Tom Clancy's novel of the same name.

## Confidence region

In statistics, a confidence region is a multi-dimensional generalization of a confidence interval.

## Covariance

In probability theory and statistics, covariance is a measure of the joint variability of two random variables.

## Mean

In mathematics, mean has several different definitions depending on the context.

## Mean squared error

In statistics, the mean squared error (MSE) or mean squared deviation (MSD) of an estimator (of a procedure for estimating an unobserved quantity) measures the average of the squares of the errors—that is, the average squared difference between the estimated values and what is estimated.

## Military science

Military science is the study of military processes, institutions, and behavior, along with the study of warfare, and the theory and application of organized coercive force.

## MIT Press

The MIT Press is a university press affiliated with the Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts (United States).

## Nakagami distribution

The Nakagami distribution or the Nakagami-m distribution is a probability distribution related to the gamma distribution.

## Normal distribution

In probability theory, the normal (or Gaussian or Gauss or Laplace–Gauss) distribution is a very common continuous probability distribution.

## Precision-guided munition

A precision-guided munition (PGM, smart weapon, smart munition, smart bomb) is a guided munition intended to precisely hit a specific target, to minimize collateral damage and increase lethality against intended targets.

## Probable error

In statistics, probable error defines the half-range of an interval about a central point for the distribution, such that half of the values from the distribution will lie within the interval and half outside.

In classical geometry, a radius of a circle or sphere is any of the line segments from its center to its perimeter, and in more modern usage, it is also their length.

## Root mean square

In statistics and its applications, the root mean square (abbreviated RMS or rms) is defined as the square root of the mean square (the arithmetic mean of the squares of a set of numbers).

## Standard deviation

In statistics, the standard deviation (SD, also represented by the Greek letter sigma σ or the Latin letter s) is a measure that is used to quantify the amount of variation or dispersion of a set of data values.

## SUNY Press

The State University of New York Press (or SUNY Press), is a university press and a Center for Scholarly Communication.

## United States Naval Institute

The United States Naval Institute (USNI), based in Annapolis, Maryland, is a private, non-profit, professional military association that seeks to offer independent, nonpartisan forums for debate of national defense and security issues.

## Variance

In probability theory and statistics, variance is the expectation of the squared deviation of a random variable from its mean.

## References

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