Difference between revisions of "Manuals/calci/BETADIST"

From ZCubes Wiki
Jump to navigation Jump to search
Line 16: Line 16:
 
<math>f(x)=\frac{x^{\alpha-1}(1-x)^{ \beta-1}}{B(\alpha,\beta)},</math> where <math>0 \le x \le 1</math>; <math>\alpha,\beta >0 </math> and <math>B(\alpha,\beta)</math> is the Beta function.
 
<math>f(x)=\frac{x^{\alpha-1}(1-x)^{ \beta-1}}{B(\alpha,\beta)},</math> where <math>0 \le x \le 1</math>; <math>\alpha,\beta >0 </math> and <math>B(\alpha,\beta)</math> is the Beta function.
 
*The formula for the Cumulative Beta Distribution is called the Incomplete Beta function ratio and it is denoted by <math>I_x</math> and is defined as :
 
*The formula for the Cumulative Beta Distribution is called the Incomplete Beta function ratio and it is denoted by <math>I_x</math> and is defined as :
<math>F(x)=I_x(\alpha,\beta)=\int_{0}^{x}\frac{t^{α−1}(1−t)^{\beta−1}dt} {B(\alpha,\beta)}</math>,  where <math>0 \le x \le 1</math>0 ; <math>\alpha,\beta>0</math> and <math>B(\alpha,\beta)</math> is the Beta function.
+
<math>F(x)=I_x(\alpha,\beta)=\int_{0}^{x}\frac{t^{α−1}(1−t)^{\beta−1}dt} {B(\alpha,\beta)}</math>,  where <math>0 \le x \le 1</math> ; <math>\alpha,\beta>0</math> and <math>B(\alpha,\beta)</math> is the Beta function.
 
*This function will give the result as error when  
 
*This function will give the result as error when  
 
  1.Any one of the arguments are non-numeric.
 
  1.Any one of the arguments are non-numeric.

Revision as of 00:13, 2 May 2014

BETADIST(x,alpha,beta,a,b)


  • is the value between and
  • alpha and beta are the value of the shape parameter
  • & the lower and upper limit to the interval of .

Description

  • This function gives the Cumulative Beta Probability Density function.
  • The beta distribution is a family of Continuous Probability Distributions defined on the interval [0, 1] parameterized by two positive shape parameters, denoted by and .
  • The Beta Distribution is also known as the Beta Distribution of the first kind.
  • In , is the value between and .
  • alpha is the value of the shape parameter.
  • beta is the value of the shape parameter
  • and (optional) are the Lower and Upper limit to the interval of .
  • Normally lies between the limit and , suppose when we are omitting and value, by default value with in 0 and 1.
  • The Probability Density Function of the beta distribution is:

where ; and is the Beta function.

  • The formula for the Cumulative Beta Distribution is called the Incomplete Beta function ratio and it is denoted by and is defined as :

Failed to parse (syntax error): {\displaystyle F(x)=I_x(\alpha,\beta)=\int_{0}^{x}\frac{t^{α−1}(1−t)^{\beta−1}dt} {B(\alpha,\beta)}} , where  ; and is the Beta function.

  • This function will give the result as error when
1.Any one of the arguments are non-numeric.
2. or 
3. ,, or 
  • we are not mentioning the limit values and ,
  • By default it will consider the Standard Cumulative Beta Distribution, a = 0 and b = 1.

Examples

  1. =BETADIST(0.4,8,10) = 0.359492343
  2. =BETADIST(3,5,9,2,6) = 0.20603810250
  3. =BETADIST(9,4,2,8,11) = 0.04526748971
  4. =BETADIST(5,-1,-2,4,7) = NAN

See Also

References

Beta Distribution