Search results
Results from the WOW.Com Content Network
In probability and statistics, the Kumaraswamy's double bounded distribution is a family of continuous probability distributions defined on the interval (0,1). It is similar to the beta distribution, but much simpler to use especially in simulation studies since its probability density function, cumulative distribution function and quantile functions can be expressed in closed form.
It serves as an alternative to the beta and Kumaraswamy distributions for modeling double-bounded random variables. The MK distribution was originally proposed by Sagrillo, Guerra, and Bayer [1] through a transformation of the Kumaraswamy distribution. Its density exhibits an increasing-decreasing-increasing shape, which is not characteristic ...
In statistics, the inverse Wishart distribution, also called the inverted Wishart distribution, is a probability distribution defined on real-valued positive-definite matrices. In Bayesian statistics it is used as the conjugate prior for the covariance matrix of a multivariate normal distribution.
Kumaraswamy or Kumaraswami is an Indian male given name. It may also refer to: Murugan, also called Kumaraswami or Kartikeya, the Hindu god of war; Kumaraswamy distribution, a distribution form related to probability theory and statistics; Kumaraswamy Layout, a residential locality in southern Bangalore, India
Haradanahalli Devegowda Kumaraswamy (born 16 December 1959) is an Indian politician and film producer who is serving as the Minister of Heavy Industries and Steel of India since 10 June 2024. He also served as the 18th Chief Minister of Karnataka from 2018 to 2019 and previously from 2006 to 2007.
In probability theory and statistics, an inverse distribution is the distribution of the reciprocal of a random variable. Inverse distributions arise in particular in the Bayesian context of prior distributions and posterior distributions for scale parameters .
Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more
T. Bdiri et al. have developed several models that use the inverted Dirichlet distribution to represent and model non-Gaussian data. They have introduced finite [3] [4] and infinite [5] mixture models of inverted Dirichlet distributions using the Newton–Raphson technique to estimate the parameters and the Dirichlet process to model infinite ...