Difference between revisions of "Exponential Command"

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<noinclude>{{Manual Page|version=4.0}}</noinclude>
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<noinclude>{{Manual Page|version=5.0}}</noinclude>{{command|cas=true|probability}}
{{command|probability}}
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;Exponential( <Lambda>, x )
;Exponential[ <Mean λ>, x ]
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:Creates cumulative density function (cdf) of [[w:Exponential distribution|exponential distribution]] with parameter ''lambda''.
:Creates probability density function (pdf) of [[w:Exponential distribution|exponential distribution]] with mean λ.
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;Exponential( <Lambda>, x, <Boolean Cumulative> )
;Exponential[ <Mean λ>, x, <Boolean Cumulative> ]
 
 
:If ''Cumulative'' is true, creates cumulative distribution function (cdf) of exponential distribution, otherwise creates pdf of Exponential distribution.
 
:If ''Cumulative'' is true, creates cumulative distribution function (cdf) of exponential distribution, otherwise creates pdf of Exponential distribution.
;Exponential[ <Mean λ>, <Variable Value v> ]: Calculates the value of cumulative distribution function of Exponential distribution at ''v'', i.e. the probability ''P(X≤v)'' where ''X'' is a random variable with Exponential distribution with mean λ.
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;Exponential( <Lambda>, <Variable Value> )
:{{Note| Returns the probability for a given ''x''-coordinate's value (or area under the Exponential distribution curve to the left of the given ''x''-coordinate).}}
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:Calculates the value of cumulative distribution function of Exponential distribution at variable value ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Exponential distribution with parameter ''lambda''.
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:{{note| 1=Returns the probability for a given ''x''-coordinate's value (or area under the Exponential distribution curve to the left of the given ''x''-coordinate).}}
 
==CAS Syntax==
 
==CAS Syntax==
In [[CAS View]] only following syntax is supported:
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;Exponential( <Lambda>, <Variable Value> )
;Exponential[ <Mean λ>, <Variable Value v>]
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:Calculates the value of cumulative distribution function of exponential distribution at variable value ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Exponential distribution with parameter ''lambda''.
:Calculates the value of cumulative distribution function of exponential distribution at ''v'', i.e. the probability ''P(X≤v)'' where ''X'' is a random variable with Exponential distribution with mean λ.
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:{{example| 1=<code><nowiki>Exponential(2, 1)</nowiki></code> yields ''<math>1 - \frac{1}{e^{2} } </math>'', which is approximately  ''0.86''.}}
:{{example|1=<div><code><nowiki>Exponential[2, 1]</nowiki></code> gives <math>\frac{e^{2}-1}{e^{2} } </math>, which is approximately  ''0.86''.</div>}}
 

Latest revision as of 10:16, 30 July 2019


Exponential( <Lambda>, x )
Creates cumulative density function (cdf) of exponential distribution with parameter lambda.
Exponential( <Lambda>, x, <Boolean Cumulative> )
If Cumulative is true, creates cumulative distribution function (cdf) of exponential distribution, otherwise creates pdf of Exponential distribution.
Exponential( <Lambda>, <Variable Value> )
Calculates the value of cumulative distribution function of Exponential distribution at variable value v, i.e. the probability P(X ≤ v) where X is a random variable with Exponential distribution with parameter lambda.
Note: Returns the probability for a given x-coordinate's value (or area under the Exponential distribution curve to the left of the given x-coordinate).

CAS Syntax

Exponential( <Lambda>, <Variable Value> )
Calculates the value of cumulative distribution function of exponential distribution at variable value v, i.e. the probability P(X ≤ v) where X is a random variable with Exponential distribution with parameter lambda.
Example: Exponential(2, 1) yields 1 - \frac{1}{e^{2} } , which is approximately 0.86.
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