Showing posts with label continuous probability distribution. Show all posts
Showing posts with label continuous probability distribution. Show all posts

Friday, 19 June 2020

Mean of the Probability Distribution of Departures | Chapter 14 | Recent Studies in Mathematics and Computer Science Vol. 2

This paper proposes the mean for distribution     2 , ) 1, 0 ( ) 0 P n x P n x when t f x otherwise          for the chosen random variable “how likely there are successive departures in a particular interval”.   

Author(s) Details

Nirmala Kasturi
Sri Venkateshwara Group of Institutions, Hyderabad, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/182

Departures Analysis | Chapter 12 | Recent Studies in Mathematics and Computer Science Vol. 2

To provide general expression towards the any statistical situation we need many models and also analyses to  come to an inference. Probability Distribution plays very important role in such analyses. Among all statistical  empirical  distributions,  several  distributions  have  been  developed  by  some  subtle  transformations  on  the  existing  distributions.  We  propose  one  Probability  Distribution  function  of  random  variable  successive  departures.  

Author(s) Details

Nirmala Kasturi
 Sri Venkateshwara Group of Institutions, Gachibowlli, Hyderabad, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/182

Arrivals Analysis | Chapter 11 | Recent Studies in Mathematics and Computer Science Vol. 2

We need many analyses to come to an inference about any situation. Probability Distributions play very  important role in such analyses. We propose one Probability Distribution function of random variable successive  arrivals.   

Author(s) Details

Nirmala Kasturi
Sri Venkateshwara Group of Institutions, Gachibowlli, Hyderabad, India.

View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/182


Mean to the Distribution on Arrivals 1 | Chapter 15 | Recent Studies in Mathematics and Computer Science Vol. 2

Several different distributions have been analyzed by a number of authors. There is still more scope for the probability density functions on arrivals which plays major role in lifetime data analysis. This paper proposes the Mean, Variance and Standard Deviation for the density function       2 , 1, 0 ( ) 0 P n x P n x when x f x otherwise              for the chosen random variable “how likely there

Author(s) Details

Nirmala Kasturi 
Sri Venkateshwara Group of Institutions, Hyderabad, India.
View Book :-  http://bp.bookpi.org/index.php/bpi/catalog/book/182