D-optimal regression designs under random block-e ects models are considered. In addition to selecting design points, an experimenter also needs to specify how they are grouped into blocks. We rst consider minimum-support designs, which are supported on the minimum number of design points. In this case, it is shown that a D-optimal design can be obtained by combining a D-optimal block design (f...

Self-directed learners value the ability to make decisions about their own learning experiences. Educational systems can accommodate these learners by providing a variety of different activities and study contexts among which learners may choose. When creating a software-based environment for these learners, system architects incorporate activities designed to be both effective and engaging. On...

Following the request of the Tehran municipality and in order to provide the spatial information required in their various projects, a real-time kinematic network has been designed for Tehran. Based on the existing measures such as the dilution of precision at the network point positions, two different designs have been proposed. A minimum number of six GNSS stations are used in both of the pro...

Logistics Network Design includes network configuration decisions having long-standing influences on other tactical and operational decisions. Recently, regarding environmental issues and customer awareness and global warming closed-loop supply chain network design is taken into consideration. The proposed network for the integrated forward and reverse logistics is developed by formulating a cy...

While one-time mammography screening rates have improved, repeat-screening rates have not followed this trend. Little is known about those factors that help sustain the regular use of mammography over time, especially among low-income, uninsured immigrant women. We utilized model-building strategies using the SAS LOGISTIC procedure to find a set of candidate logistic regression models that incl...

This paper compares, for a microfinance institution, the performance of two individual classification models: Logistic Regression (Logit) and Multi-Layer Perceptron Neural Network (MLP), to evaluate the credit risk problem and discriminate good creditors from bad ones. Credit scoring systems are currently in common use by numerous financial institutions worldwide. However, credit scoring using ...

The use of non-parametric methodologies, the introduction of non-financial variables, and the development of models geared towards the homogeneous characteristics of corporate sub-populations have recently experienced a surge of interest in the bankruptcy literature. However, no research on default prediction has yet focused on micro-entities (MEs), despite such firms’ importance in the global ...

New test design techniques should result in better coverage of the input domain and more efficient test cases. In this paper we propose a software-testing model for generating efficient test cases based on the special properties of Design of Experiments (DOE) and Logistic Regression. This model allows the software tester to design and generate efficient test sets. Also the proposed model provid...

Organized by: Fabio Sgarbossa (University of Padua, Italy) [email protected] Daria Battini (University of Padua, Italy) [email protected] Christoph Glock (Technische Universität Darmstadt, Germany) [email protected]‐darmstadt.de Eric Grosse (Technische Universität Darmstadt, Germany) [email protected]‐darmstadt.de Despite the opportunities the automatization of industrial and logistic syste...

background one of the main objects in medical science is diagnosis the diseases and classification the patients to different classes. consequently according to the above the patients that set in one classes should have maximum similarity with each other. discrimination and classification analysis have been frequently used in medical data for diagnosis and prognostic of the disease. the wrong in...