this work presents an experimental investigation of the influence of the six important machining parameters (tool nose radius, tool rake angle, feed rate, cutting speed, cutting environment (dry, wet and cooled) and depth of cut) on surface roughness & material removal rate in the machining unidirectional glass fiber reinforced plastics (ud-gfrp) composite using carbide (k10) cutting tool durin...

This article provides instructors with guidelines for teaching simple experimental design for the comparison of two treatment groups. Two designs with specific examples are discussed along with common misconceptions that undergraduate students typically bring to the experiment design process. Features of experiment design that maximize power and minimize the effects of interindividual variation...

Inventory management requires optimal determination of (a) “when to order”, and (b) “how much to order”. One also needs here two answers—what should be stocked initially, and should one adjust (a) and (b) as time progresses? This paper uses the Bayesian approach to answer these. It uses the classical (s, Q) model and a heuristic search in the unstructured decision space. It finds that one can m...

The existing heat dissipation research on double disk magnetic couplers ignores the coupling influence of electromagnetic temperature–stress and other multiphysics fields, error between calculation analysis results measured values is large. Therefore, a multi-parameter optimization method for structures based orthogonal experimental design proposed. Based coupler model, three-dimensional finite...

Although conventional tests are often used for determining a student’s overall competence, they are seldom used for determining a finegrained model. However, this problem does arise occasionally, such as when a conventional test is used to initialize the student model of an ITS. Existing psychometric techniques for solving this problem are intractable. Straightforward Bayesian techniques are al...

We introduce best response dynamics for settings where agents' preferences are diverse. Under these dynamics, which are defined on the space of Bayesian strategies, rest points and Bayesian Nash equilibria are identical. We prove the existence and uniqueness of solution trajectories to these dynamics, and provide methods of analyzing the dynamics based on aggregation. JEL Classification: C72, C73

1 The stated choice (SC) experiment is generally regarded as an effective way to obtain data for 2 discrete choice analysis. The SC experimental design method, which determines the rule to allocate 3 different levels for each attribute in choice situations, will have a great impact on parameter 4 estimation. The optimal orthogonal choice (OOC) design is one of the most efficient SC designs, by ...

In this correspondence new robust nonlinear model construction algorithms for a large class of linear-in-the-parameters models are introduced to enhance model robustness via combined parameter regularization and new robust structural selective criteria. In parallel to parameter regularization, we use two classes of robust model selection criteria based on either experimental design criteria tha...