Gold vs Gold Exchange Traded Funds: An Empirical Study in India

This study aim of this is to estimate the relationship between gold and Gold Exchange Traded Fund (ETF) and the performance of Gold ETFs in India by using various statistical models. The data for the study covers a period of three years from 2015 to 2018. The data was collected from the National Stock Exchange database and other sources. The outcome of this study was to find out whether there is a relationship between gold and Gold ETFs. It was found out that Gold ETFs has more returns than the physical gold; Axis ETF performed the best among those Gold ETFs selected for the study. This study will be beneficial for the market researchers and investors who find the best opportunities in the Gold ETFs

Semi-Parametric Likelihood Functions for Bivariate Survival Data

Because of the numerous applications, characterization of multivariate survival distributions is still a growing area of research. The aim of this thesis is to investigate a joint probability distribution that can be derived for modeling nonnegative related random variables. We restrict the marginals to a specified lifetime distribution, while proposing a linear relationship between them with an unknown (error) random variable that we completely characterize. The distributions are all of positive supports, but one class has a positive probability of simultaneous occurrence. In that sense, we capture the absolutely continuous case, and the Marshall-Olkin type with a positive probability of simultaneous event on a set of measure zero. In particular, the form of the joint distribution when the marginals are of gamma distributions are provided, combining in a simple parametric form the dependence between the two random variables and a nonparametric likelihood function for the unknown random variable. Associated properties are studied and investigated and applications with simulated and real data are given

STUDY ON DECOLORIZATION OF DYE STUFF (AZO DYE-CONGO RED) BY USING BACTERIAL CONSORTIA

Objective: The present study is focused on the screening, isolation of effective bacterial microorganisms for the decolorization of textile effluent and evaluation of the performance of the process also optimization of parameters for enhanced decolorization. Methods: The isolation was carried out by serial dilution method and the decolorization was carried out in the batch reactor. Results: The effective bacteria isolated from the textile were Proteus mirabilis, Staphylococcus aureus, Bacillus subtilus, Bacillus funiculus and Pseudomonas fluorescens have been characterized by biochemical assay also with Scanning Electron Microscopy (SEM). Conclusion: The decolorization process using bacterial consortia for various dye yields 95% decolorization. The process was simple, cost-effective and eco-friendly. The parameters such as temperature, pH, nutrients, time had the greater potential for the effective growth of microorganisms were optimized and can be applied to the diverse textile treatment applications. Â&nbsp