Contents

Index

• Getting Started

• Data Organization

• Descriptive Statistics

• Statistical Visualization

• Probability Distributions

• Distribution Objects

• Distribution Plots

• Probability Density

• Cumulative Distribution

• Inverse Cumulative Distribution

• Distribution Statistics

• Distribution Fitting

• Negative Log-Likelihood

• Random Number Generators

• Quasi-Random Numbers

• Piecewise Distributions

• Hypothesis Tests

• Analysis of Variance

• Regression Analysis

• Multivariate Methods

• Cluster Analysis

• Model Assessment

• Classification

• Hidden Markov Models

• Design of Experiments

• Statistical Process Control

• GUIs

• Release Notes

Learn more about Statistics Toolbox

poissinv - Poisson inverse cumulative distribution function

Syntax

X = poissinv(P,lambda)

Description

X = poissinv(P,lambda) returns the smallest value X such that the Poisson cdf evaluated at X equals or exceeds P, using mean parameters in lambda. P and lambda can be vectors, matrices, or multidimensional arrays that all have the same size. A scalar input is expanded to a constant array with the same dimensions as the other input.

Examples

If the average number of defects (λ) is two, what is the 95th percentile of the number of defects?

poissinv(0.95,2)
ans =
   5

What is the median number of defects?

median_defects = poissinv(0.50,2)
median_defects =
   2

See Also

icdf, poisscdf, poisspdf, poisstat, poissfit, poissrnd

Poisson Distribution

poissfit

poisspdf

Recommended Products

Get MATLAB trial software

Includes the most popular MATLAB recorded presentations with Q&A sessions led by MATLAB experts.

Get the Interactive Kit

© 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS