In recent years, some researches have been done on simultaneous monitoring of multivariate process mean vector and covariance matrix. However, the effect of measurement error, which exists in many practical applications, on the performance of these control charts is not well studied. In this paper, the effect of measurement error with linearly increasing variance on the performance of ELR contr...

With the advent of statistical modeling in sports, predicting the outcome of a game has been established as a fundamental problem. Cricket is one of the most popular team games in the world. With this article, we embark on predicting the outcome of a One Day International (ODI) cricket match using a supervised learning approach from a team composition perspective. Our work suggests that the rel...

We present the first version of a probabilistic linear basis model for expressive dynamics in music. The model extends prior work by Grachten and Widmer [7]. Contrary to the original model, this model allows for both specifying musical knowledge, and for modeling multiple distinct performances of the same piece. We show that in its current, minimalist form, the new model performs on a par with ...

Local bundle adjustment (LBA) has recently been introduced to estimate the geometry of image sequences taken by a calibrated camera. Its advantage over standard (global) bundle adjustment is a great reduction of computational complexity, which allows real-time performances with a similar accuracy. However, no confidence measure on the LBA result such as uncertainty or covariance has yet been in...

One of the most important issues in strategic management is enhancing employees’ motivation to contribute in the implementation of strategies; because they usually do not pay necessary attention to strategies. Accordingly, it is required to consider and calculate their roles in implementing strategies. In terms of employees’ role in the organization, they have managerial (goal setter) and/or no...

Performance measurement and management have received a great deal of attention in the literature in recent years. However, to date, there is scant attention to dynamics and trade-offs amongst performance indicators in theory and in practice (Santos, Belton et al. 2002). Thus, performance management systems (PMS) have remained static, fragmented, and backward looking (Bourne et al. 2000) leading...

The generalized linear mixed models (GLMMs) for clustered data are studied when covariates aremeasured with error. Themost conventional measurement error models are based on either linear mixed models (LMMs) or GLMMs. Even without the measurement error, the frequentist analysis of LMM, and particularly of GLMM, is computationally difficult. On the other hand, Bayesian analysis of LMM and GLMM i...

Procurement excellence is increasingly becoming an important factor in delivering efficient operations within successful companies. On the surface, effectively measuring procurement performance is no rocket science. However looking deeper, adequate measurement of procurement success is a big issue, as bottom-up reported savings can significantly deviate from the key financial figures a CFO look...

Paper Abstract Objective metrics-based evaluation of any project and person is essential for management. As put in succinctly by a renowned manager that if you cannot measure 'it' you cannot manage 'it'. Evaluation of software projects and software engineers has been an elusive target for software engineering practitioners. How to say that one software engineer is better compared to another and...