79 citations · 274 across the 46 of their papers we have counts for
47 papers
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
Yuting I. Li, Günther Turk, Paul B. Rohrbach +12
Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Baye…
Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library
R. Adhikari, Austen Bolitho, Fernando Caballero +15
PyRoss is an open-source Python library that offers an integrated platform for inference, prediction and optimisation of NPIs in age- and contact-structured epidemiological compart…
Estimation of mean using dual-to-ratio and difference-type estimators under measurement error model
Viplav Kumar Singh, Rajesh Singh
In sample survey, when data is collected, it is assumed that whatever is reported by respondent is correct. However, given the issues of prestige bias, personal respect, respondent…
Generalized estimators using characteristics of Poisson distribution
Prayas Sharma, Hemant K. Verma, Nitesh K. Adichwal +1
In this article, we have proposed a generalized class of estimators, exponential class of estimators based on adaption of Sharma and Singh (2015) and Solanki and Singh (2013) and s…
Multivariate dual to ratio type estimators using arithmetic, geometric and harmonic means in simple random sampling
Rajesh Singh, Prayas Sharma
Auxiliary variable is extensively used in survey sampling to improve the precision of estimates. Whenever there is availability of auxiliary information, we want to utilize it in t…
Difference-type estimators for estimation of mean in the presence of measurement error
Viplav Kr. Singh, Rajesh Singh, Florentin Smarandache
In this paper we have suggested difference-type estimator for estimation of population mean of the study variable y in the presence of measurement error using auxiliary information…