Managing retailer-supplier partnerships with EDI: Evaluation and implementation

Methods for electronically linking suppliers and retailers (Electronic data interchange systems also known as EDI) have become commonplace. This study develops a methodology for assessing the value provided by an EDI system. The importance of implementation in generating value through EDI is illustrated through the use of a case study of a major retailer implementing an EDI system using the methodology. The case study also shows that EDI systems are likely to be most effective for product categories with unpredictable sales patterns and demonstrates how other technologies (e.g. flexible manufacturing capabilities) can be leveraged to increase the value of EDI.     

Estimation of the inverse of mean

For the inverse of mean, a class of estimators with finite moments is considered and its properties are analyzed in the context of normal and non-normal populations.     

A TWO-PHASE SAMPLING ESTIMATOR IN SAMPLE SURVEYS

A two-phase sampling estimator of the ratio-type for estimating the mean of a finite population, has been considered where the value of ρC_y/C_x can be guessed or estimated in advance. Here C_y and C_x denote respectively the coefficients of variation of the characteristic under study, y, and the auxiliary characteristic x and ρ denotes the coefficient of correlation between y and x. When the value of ρC_y/C_x is guessed or estimated exactly, the estimator has a smaller large-sample variance compared with either an ordinary ratio estimator or an ordinary linear regression estimator in two-phase sampling in the case where the first-phase sample is drawn independently from the second-phase sample. If the sample at the second phase is a subsample of the first-phase sample, the estimator has variance equal to that of the linear regression estimator. The largest value of the difference between the assumed value and the actual value of ρC_y/C_x has been obtained so as not to result in the variance of the estimator being larger than the variances of either an ordinary ratio estimator or an ordinary linear regression estimator.     

Mindfulness in the Context of Romantic Relationships: Initial Development and Validation of the Relationship Mindfulness Measure

Trait mindfulness and mindfulness in the context of romantic relationships may not be completely overlapping constructs. This study adapted an existing measure of trait mindfulness to assess the tendency to be mindful in romantic relationships, the Relationship Mindfulness Measure (RMM). Using data from 185 young adults, the results supported the RMM's internal consistency, test–retest reliability, and concurrent and predictive validity. The RMM accounted for a significant portion of variance in positive relationship quality, negative relationship quality, and anxious and avoidant attachment, even after controlling for trait mindfulness. Based on these findings, assessing relationship mindfulness may improve research exploring the role of mindfulness in romantic relations and therefore facilitate the development and refinement of mindfulness training programs for couples.     

A model selection criterion for discriminant analysis of high-dimensional data with fewer observations

This paper is concerned with the problem of selecting variables in two-group discriminant analysis for high-dimensional data with fewer observations than the dimension. We consider a selection criterion based on approximately unbiased for AIC type of risk. When the dimension is large compared to the sample size, AIC type of risk cannot be defined. We propose AIC by replacing maximum likelihood estimator with ridge-type estimator. This idea follows Srivastava and Kubokawa (2008). It has been further extended by Yamamura et al. (2010). Simulation revealed that the proposed AIC performs well.     

A Comparison of Permutation Hotelling's T 2 Test and Log-Ratio Test for Analyzing Compositional Data

An adding-back model is constructed for studying multiple outliers and influential observations. A logarithmic functional form for some influence measures having a better justification for plotting purposes is suggested. Two graphical methods with contours of constant measure values are proposed. They provide valuable information about the interrelationship of multiple influential observations and influence measures.