3 citations · 5 across the 10 of their papers we have counts for
10 papers
A new count model based on Poisson-Transmuted Geometric convolution
Anupama Nandi, Subrata Chakraborty, Aniket Biswas
A novel over-dispersed discrete distribution, namely the PoiTG distribution is derived by the convolution of a Poisson variate and an independently distributed transmuted geometric…
A new over-dispersed count model
Anupama Nandi, Subrata Chakraborty, Aniket Biswas
A new two-parameter discrete distribution, namely the PoiG distribution is derived by the convolution of a Poisson variate and an independently distributed geometric random variabl…
A new method for constructing continuous distributions on the unit interval
Aniket Biswas, Subrata Chakraborty
A novel approach towards construction of absolutely continuous distributions over the unit interval is proposed. Considering two absolutely continuous random variables with positiv…
A new generalization of the geometric distribution using Azzalini's mechanism: properties and application
Seng Huat Ong, Subrata Chakraborty, Aniket Biswas
The skewing mechanism of Azzalini for continuous distributions is used for the first time to derive a new generalization of the geometric distribution. Various structural propertie…
Modified estimator for the proportion of true null hypotheses under discrete setup with proven FDR control by the adaptive Benjamini-Hochberg procedure
Aniket Biswas, Gaurangadeb Chattopadhyay
Some crucial issues about a recently proposed estimator for the proportion of true null hypotheses () under discrete setup are discussed. An estimator for is introduced…
Bias corrected estimators for proportion of true null hypotheses under exponential model: Application of adaptive FDR-controlling in segmented failure data
Aniket Biswas, Gaurangadeb Chattopadhyay, Aditya Chatterjee
Two recently introduced model based bias corrected estimators for proportion of true null hypotheses () under multiple hypotheses testing scenario have been restructured for e…
Selection of link function in binary regression: A case-study with world happiness report on immigration
Ardhendu Banerjee, Subrata Chakraborty, Aniket Biswas
Selection of appropriate link function for binary regression remains an important issue for data analysis and its influence on related inference. We prescribe a new data-driven met…
Further study on inferential aspects of log-Lindley distribution with an application of stress-strength reliability in insurance
Aniket Biswas, Subrata Chakraborty, Meghna Mukherjee
The log-Lindley distribution was recently introduced in the literature as a viable alternative to the Beta distribution. This distribution has a simple structure and possesses usef…
Estimating the proportion of true null hypotheses with application in microarray data
Aniket Biswas
A new formulation for the proportion of true null hypotheses , based on the sum of all -values and the average of expected -value under the false null hypotheses has b…
R = P(Y < X) for unit-Lindley distribution: inference with an application in public health
Aniket Biswas, Subrata Chakraborty
The unit-Lindley distribution was recently introduced in the literature as a viable alternative to the Beta and the Kumaraswamy distributions with support in (0; 1). This distribut…