Bayesian inference and prediction in the single server Markovian queue

The use of stochastic models and performance measures for the analysis of real life queuing scenarios are based on the fundamental premise that parameters values are known. This is a rarity since more often than not, parameters are usually unknown and require to be estimated. This paper presents techniques for the same from Bayesian perspective. The queue we intend to deal with is the M/M/1 queuing model. Several closed form expressions on posterior inference and prediction are presented which can be readily implemented using standard spreadsheet tools. Previous work in this direction resulted in non-existence of posterior moments. A way out is suggested. Interval estimates and tests of hypothesis on performance measures are also presented.     

On two properties of an unequal probability sampling scheme

Summary For an inclusion probability proportional to size (IPPS) sampling scheme recently proposed by Saxena, Singh and Srivastava (1986), it is shown that under certain simple verifiable conditions (1) the Horvitz-Thompson (1952) estimator based on it has a smaller variance than the variance of the Hansen-Hurwitz (1943) estimator based on probability proportional to size (PPS) sampling with replacement (WR) both involving the same size-measures and the expected sample size in the former being equal to the number of draws in the latter and (2) the Yates-Grundy (1953) estimator for the variance of the Horvitz-Thompson estimator based on this IPPS scheme is uniformly non-negative.     

Does knowledge of finance mitigate the gender difference in financial risk-aversion?

We investigate the gender difference in financial risk aversion using a survey of finance professors from universities across the United States. We compare their actual portfolio allocations to that of respondents in the Federal Reserve's Survey of Consumer Finances (SCF). We find that among highly educated individuals, women are significantly more risk averse than men. However, we find that when men and women have both attained a high level of financial education, they are equally likely to invest a significant portion of their portfolio in risky assets, suggesting that financial education mitigates the gender difference in financial risk aversion.     

Sustainability and business-to-business marketing: A framework and implications

Researchers in several business disciplines have convincingly argued that environmentally responsible strategies can contribute to competitive advantage and superior financial performance. While debates on ecological conservation and environmental practices within marketing have raged for over three decades, much of the focus has been on identifying and targeting the environmentally-conscious consumer. Less attention has been given to marketing's role in a green supply chain and its interface with environmentally-friendly manufacturing and operations. We integrate disparate streams of research and develop a broader framework to understand the appropriate role and focus of business-to-business marketing in the supply chain for achieving environmental sustainability objectives. We identify three major strategies - the reduction of surplus supply of products, reduction of reverse supply, and internal marketing - where marketing's role in environmental sustainability is crucial for achieving superior competitive advantage and financial performance.     

Corporate Governance and Performance of Indian Firms: The Effect of Board Size and Ownership

The paper reviews international literature on corporate governance and firm performance and investigates the relationship in the Indian context, taking into account the endogeneity in the relationship. Governance parameters include board size, directors’ shareholding, institutional and foreign shareholding, while the fragmentation in shareholding is captured by public shareholding. A simultaneous equation regression model for Tobin’s Q, as a measure of firm performance, is attempted using these variables, while controlling for industry effects and other non-governance variables. The data corresponds to a panel of 340 large, listed Indian firms for the period 1997–2001 spread across 24 industry groups.