1 citations · 2 across the 8 of their papers we have counts for
8 papers
On the convergence of entropy for K-th extreme
Ali Saeb
Let recall that the term 'k-th extreme' was introduced in a limiting sense. That is, if denote the r-th order statistic then for fix k, as , is…
Stock Prices as Janardan Galton Watson Process
Ali Saeb
Janardan (1980) introduces a class of offspring distributions that sandwich between Bernoulli and Poisson. This paper extends the Janardan Galton Watson (JGW) branching process as…
A note on power generalized extreme value distribution and its properties
Ali Saeb
Similar to the generalized extreme value (GEV) family, the generalized extreme value distributions under power normalization are introduced by Roudsari (1999) and Barakat et al. (2…
General extreme value modeling and application of bootstrap on rainfall data - A case study
Ali Saeb
Extreme value theory is concerned with probabilistic and statistical questions related to very high or very low values in sequences of random variables and in stochastic processes.…
Rates of convergence for Renyi entropy in extreme value theory
Ali Saeb
Max stable laws are limit laws of linearly normalized partial maxima of independent identically distributed random variables. Saeb (2014) proves that the Renyi entropy of order b (…
Galton-Watson Process for a class of distributions from Bernoulli to Poisson
R. Vasudeva, Ali Saeb
In this paper the Galton Watson branching process has been studied for a class of offspring distributions which are in a way sandwiched between the Bernoulli and Poisson.
On convergence of entropy of distribution functions in the max domain of attraction of max stable laws
Sreenivasan Ravi, Ali Saeb
Max stable laws are limit laws of linearly normalized partial maxima of indepen- dent, identically distributed (iid) random variables (rvs). These are analogous to stable laws whic…
On Renyi entropy convergence of the max domain of attraction
Ali Saeb
In this paper, we prove that the Renyi entropy of linearly normalized partial maxima of independent and identically distributed random variables is convergent to the corresponding…