Some new augmented fractional Box–Behnken designs

The augmented Box–Behnken designs are used in the situations in which Box–Behnken designs (BBDs) could not estimate the response surface model due to the presence of third-order terms in the response surface models. These designs are too large for experimental use. Usually experimenters prefer small response surface designs in order to save time, cost, and resources; therefore, using combinations of fractional BBD points, factorial design points, axial design points, and complementary design points, we augment these designs and develop new third-order response surface designs known as augmented fractional BBDs (AFBBDs). These AFBBDs have less design points and are more efficient than augmented BBDs.     

Value relevance of advertising expenditure: A review of the literature

This paper presents a review of the relevant empirical literature on advertising value relevance. The current dominant accounting practice is to treat advertising as a current period expense. There has been growing evidence, however, to suggest that advertising should be viewed as an investment in long‐term brand equity. While the primary focus is on the valuation studies of advertising expenditure, the paper also provides an overview of various other studies that relate advertising to profitability or sales of the firm or industry to investigate the effects of advertising expenditure. As a consequence, it is emphasized that there has been a recent shift to the use of valuation models in exploring the nature of advertising expenditure. Since market value captures both the current and future profitability effects of advertising, valuation models are often seen as a better alternative in exploring the intangible nature of advertising expenditure. It is found that the bulk of evidence on advertising value relevance comes from the US, where there has historically been greater disclosure of advertising expenditure. There appears to be little evidence on this matter in the UK, however. This may largely be attributed to the lack of advertising data availability in the UK.     

Classical and Bayesian estimation of stress-strength reliability in type II censored Pareto distributions

ABSTRACT

In this paper, the stress-strength reliability, R, is estimated in type II censored samples from Pareto distributions. The classical inference includes obtaining the maximum likelihood estimator, an exact confidence interval, and the confidence intervals based on Wald and signed log-likelihood ratio statistics. Bayesian inference includes obtaining Bayes estimator, equi-tailed credible interval, and highest posterior density (HPD) interval given both informative and non-informative prior distributions. Bayes estimator of R is obtained using four methods: Lindley's approximation, Tierney-Kadane method, Monte Carlo integration, and MCMC. Also, we compare the proposed methods by simulation study and provide a real example to illustrate them.     

Exploring the Factors Influencing the Success of Public Policies: Evidence from Iran’s Higher Education

Public Organization Review - Although the public policy's success is every government concern, some policies are usually more successful than others. However, the policy's success must be...