ASEAN has gone a long way in deepening its regional economic cooperation, particularly trade liberalization. However, comparatively less intraregional than the European Union, whose integration model they aspire to emulate. As reducing tariffs was no longer an efficient increase trade, this study analyzes logistics performance as another factor that may affect trade. Using gravity with bilatera...

Logistic regression studies often have several covariates and asked to cull these covariates to arrive at a parsimonious model. The goal is to maximize predictive power while minimizing the number of covariates in the model. Purposeful selection of covariates does not provide efficient model in case of large number of covariates while mechanical stepwise and best subsets selection procedures st...

Multicollinearity in logistic regression affects the variance of the maximum likelihood estimator negatively. In this study, Liu-type estimators are used to reduce the variance and overcome the multicollinearity by applying some existing ridge regression estimators to the case of logistic regression model. A Monte Carlo simulation is given to evaluate the performances of these estimators when t...

The contribution of this paper is threefold: (1) to formulate a decision fusion problem encountered in the design of a multi-modal identity verification system as a particular classification problem, (2) to propose a general Bayes based classifier framework to solve this problem, (3) to derive and to compare two specific particularizations from this general framework. The multi-modal identity v...

BACKGROUND. In many studies with longitudinal data, time-dependent covariates can only be measured intermittently (not at all observation times), and this presents difficulties for standard statistical analyses. This situation is common in medical studies, and methods that deal with this challenge would be useful. METHODS. In this study, we performed the seemingly unrelated regression (SUR) bas...

Abstract Background In biomedical applications, valuable data is often split between owners who cannot openly share the because of privacy regulations and concerns. Training machine learning models on joint without violating a major technology challenge that can be addressed by combining techniques from cryptography. When collaboratively training with cryptographic technique named secure multi-...

Application of logistic regression modeling techniques without subsequent performance analysis regarding predictive ability of the fitted model can result in poorly fitting results that inaccurately predict outcomes on new subjects. Model validation is possibly the most important step in the model building sequence. Model validity refers to the stability and reasonableness of the logistic regre...

Manufacturing companies often merely attain reduced levels of logistic performance due to inconsistencies between their logistic objectives, logistic performance targets and logistic performance management actions. Qualitative influence models represent the inter-dependencies between these factors on two levels: firstly between logistic objectives, secondly between logistic performance measures...

The assumptions of statistical procedures are enforced more rigorously in some disciplines than in others. Outliers are often removed from data sets due to concerns over measurement error. However when predicting the outcomes of sports performances, such outliers represent real and valid performances such as Germany’s 8-0 win over Saudi Arabia in the 2002 FIFA World Cup. Previous research into ...