Manuals/calci/POISSONDISTRIBUTION

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POISSONDISTRIBUTED(a,b)


  • is the number of random numbers to display.

Description

  • This function shows the random variables of Poisson distribution.
  • It is a discrete frequency distribution which gives the probability of a number of independent events occurring in a fixed time.
  • A Poisson random variable is the number of successes that result from a Poisson experiment.
  • The probability distribution of a Poisson random variable is called a Poisson distribution.
  • Suppose we conduct a Poisson experiment, in which the average number of successes within a given region is  .
  • Then, the Poisson probability is:

 

  • where x is the actual number of successes that result from the experiment, and e is approximately equal to 2.71828.
  • The Poisson distribution has the following properties:
  1. The mean of the distribution is equal to   .
  2. The variance is also equal to   .



RANDOMNUMBERGENERATION(Number, RandomNumber, Distribution,  NewTableFlag, Lambda)

where,

Number - represents the number of variables.

RandomNumber - represents the number of random number

Distribution - represents the distribution method(i.e poisson) to create random values.

NewTableFlag - is the TRUE or FALSE.If set as TRUE,the result in new sheet. If NewTableFlag is omitted, it assumed to be FALSE.

Lambda - represents the probability value and should be in range 0 to 1.


A poisson distribution is a distribution  of random occurrences in which one occurrence has no influence on any other occurrence.

Lets see an example in (Column1Row1)

?UNIQa09fd274c5c89988-nowiki-00000004-QINU?

RANDOMNUMBERGENERATION returns the result in new sheet(13Space).

?UNIQa09fd274c5c89988-nowiki-00000005-QINU?

RANDOMNUMBERGENERATION returns the #ERROR(Lambda < 0).


RANDOM NUMBER GENERATION : POISSON


Syntax

Remarks

Examples

Description

If Number < 0 or RandomNumber < 0, RANDOMNUMBERGENERATION returns the #ERROR.

RANDOMNUMBERGENERATION returns the #ERROR, if Lambda < 0.


Random Number Generation
Binomial Distribution
0 1 1
1 0 2
0 2 1
1 1 1

Random Number Generation
Poisson Distribution
0 0 1
1 1 2
0 1 0
2 2 1


Random Number Generation
Poisson Distribution
0 0 0
1 0 1
1 0 1
0 0 0