activity
20122021
most citedBirnbaum-Saunders Distribution: A Review of Models, Analysis and Applications

7 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ME2021

Destructive cure models with proportional hazards lifetimes and associated likelihood inference

Narayanaswamy Balakrishnan, Sandip Barui

In survival analysis, cure models have gained much importance due to rapid advancements in medical sciences. More recently, a subset of cure models, called destructive cure models,…

stat.ME2018★ 7 cited

Birnbaum-Saunders Distribution: A Review of Models, Analysis and Applications

N. Balakrishnan, D. Kundu

Birnbaum and Saunders introduced a two-parameter lifetime distribution to model fatigue life of a metal, subject to cyclic stress. Since then, extensive work has been done on this…

stat.ME2017

Fractional approaches for the distribution of innovation sequence of INAR(1) processes

Josemar Rodrigues, Marcelo Bourguignon, Manoel Santos-Neto +1

In this paper, we present a fractional decomposition of the probability generating function of the innovation process of the first-order non-negative integer-valued autoregressive…

math.ST2016

Sidak-type tests for the two-sample problem based on precedence and exceedance statistics

Eugenia Stoimenova, N. Balakrishnan

This paper deals with a class of nonparametric two-sample tests for ordered alternatives. The test statistics proposed are based on the number of observations from one sample that…

math.ST2014

Empirical phi-divergence test statistics for testing simple and composite null hypotheses

Narayanaswamy Balakrishnan, Nirian Martín, Leandro Pardo

The main purpose of this paper is to introduce first a new family of empirical test statistics for testing a simple null hypothesis when the vector of parameters of interest are de…

math.ST2012★ 1 cited

Some Pitman Closeness Properties Pertinent to Symmetric Populations

M. Jafari Jozani, N. Balakrishnan, K. F. Davies

In this paper, we focus on Pitman closeness probabilities when the estimators are symmetrically distributed about the unknown parameter . We first consider two symmetric estimat…