Why has physical piracy of music grown globally in recent years despite international efforts to reduce the problem? This research employs cross-country time series data analysis to examine physical music piracy rates across developed and developing economies. We provide 1999-2004 cross-country evidence from 70 countries that mean global music piracy rates grew over this period, and observe dif...

Hayakawa, Kazunobu—How serious is the omission of bilateral tariff rates in gravity? This paper presents a constructed dataset of worldwide bilateral tariff rates to explore the seriousness of omitting bilateral tariff rates from gravity equations. Results indicate, first, that omitting bilateral tariff rates presents no serious issue related to the omitted variable bias because coefficients fo...

This paper proposes a new Accelerated Degradation Testing (ADT) reliability evaluation method utilizing a multidimensional composite time series modeling procedure to take into account the integrated effect of system’s multiple performance parameters along with the random effect of environmental variables for equivalent damage in ADT. In this paper, system performance parameter ADT data are tre...

Degradation data provide a useful resource for obtaining reliability information for some highly reliable products and systems. In addition to product/system degradation measurements, it is common nowadays to dynamically record product/system usage as well as other life-affecting environmental variables such as load, amount of use, temperature, and humidity. We refer to these variables as dynam...

This paper proposes a new Accelerated Degradation Testing (ADT) life prediction method utilizing a multidimensional composite time series modeling procedure to take into account the integrated effect of system’s multiple performance parameters along with the random effect of environmental variables for equivalent damage in ADT. In this paper, system performance parameter ADT data are treated as...

In clinical trials response variables are measured at different times and doses. This paper explores methods to determine the dose that optimizes the response based on multiple responses and doses. Linear dose-response modeling can be performed using repeated measures analysis (using PROC MIXED) for change in response (Y) using dose (X) as a continuous explanatory variable with time, dose, and ...

This paper applies the panel fixed effects with vector decomposition estimator to three FDI datasets to estimate the impact of time-invariant variables on FDI while including fixed effects. We find that the omission of fixed effects significantly biases several of these variables, especially those proxying for trade costs and culture. After including fixed effects, we find that many time-invari...

Article history: Received: 22.10.2013. Received in revised form: 17.1.2014. Accepted: 30.1.2014. This paper proposes a new multi-influence factors prediction method for water bloom prediction based on a remote monitor system and multi-sensor data taking into account the integrated effect of multiple influential factors along with the periodicity and random effect of environmental variables. Val...

The evaluation of glass evidence in forensic science is an important issue. Traditionally, this has depended on the comparison of the physical and chemical attributes of an unknown fragment with a control fragment. A high degree of discrimination between glass fragments is now achievable due to advances in analytical capabilities. A random effects model using two levels of hierarchical nesting ...

Although each statistical unit on which measurements are taken is unique typically there is not enough information available to account totally for its uniqueness. Therefore heterogeneity among units has to be limited by structural assumptions. One classical approach is to use random effects models, which assume that heterogeneity can be described by distributional assumptions. However, inferen...