ConfidenceInterval Class

Provides confidence interval multiplier methods. Confidence interval multipliers are necessary to convert one sigma values generated by statistical navigation error predictions into a more meaningful scale. For example, a statistically predicted position error (a three dimensional quantity) has a one sigma confidence value of approximately 20%. To convert that one sigma value to a 95% confidence, it must be multiplied by a certain value. This class provides the multiplier values necessary to get to a specific confidence interval.

public class ConfidenceInterval : ICloneWithContext

Public Class ConfidenceInterval
	Implements ICloneWithContext

public ref class ConfidenceInterval : ICloneWithContext

type ConfidenceInterval =  
    class
        interface ICloneWithContext
    end