the present study investigates the effect of different exposure densities on third grade iranian junior high school (ijhs) students’ efl development and retention. it also attempts to explore whether there is any differential performance due to type of post-exposure assessment tasks (recognition vs. written production). performances of five groups of learners receiving equal amount of exposure ...

Optimum Experimental Design (OED) problems are optimization problems in which an experimental setting and decisions on when to measure – the so-called sampling design – are to be determined such that a follow-up parameter estimation yields accurate results for model parameters. In this paper we use the interpretation of OED as optimal control problems with a very particular structure for the an...

Chemical process simulations depend on physical properties, which are usually available through property models with parameters estimated from experiments. The required experimental effort can be reduced using the method of Optimal Experimental Design (OED). OED reduces number experiments by minimising expected uncertainty parameters. In chemical engineering, however, main purpose an experiment...

Accurate estimation of parameters is paramount in developing high-fidelity models for complex dynamical systems. Model-based optimal experiment design (OED) approaches enable systematic design of dynamic experiments to generate input-output data sets with high information content for parameter estimation. Standard OED approaches however face two challenges: (i) experiment design under incomplet...

Process models play important role in computer aided process engineering. Although the structure of these models are a priori known, model parameters should be estimated based on experiments. The accuracy of the estimated parameters largely depends on the information content of the experimental data presented to the parameter identification algorithm. Optimal experiment design (OED) can maximiz...

Abstract We present a review of methods for optimal experimental design (OED) Bayesian inverse problems governed by partial differential equations with infinite-dimensional parameters. The focus is on where one seeks to optimize the placement measurement points, at which data are collected, such that uncertainty in estimated parameters minimized. mathematical foundations OED this context and su...

I consider the question "How should one act when the only goal is to learn as much as possible?". Building on the theoretical results of Fedorov (1972, Theory of Optimal Experiments, Academic Press) and MacKay (1992, Neural Computation, 4, 590-604), I apply techniques from optimal experiment design (OED) to guide the query/action selection of a neural network learner. I demonstrate that these t...

Oral epithelial dysplasia (OED) is a histopathological diagnosis that is associated with an increased risk of oral cancer. The purpose of this case-control study was to measure the association between OED and the use of smoking tobacco and alcoholic beverages. Incident cases of OED (n = 127) were identified through two oral pathology laboratories. Controls, pair-matched 1:1 to cases on age (+/-...

Article history: Received 3 February 2015 Received in revised form 17 March 2016 Accepted 29 April 2016 Available online xxxx This study explores the effects of online reviews embedded in the product description (OED) on sales. Drawing on the frameworks of previous studies on the saliency effect, the effects of online reviews, and seller reputation on sales, we propose that from the perspective...

The accurate and efficient measurement of observations is at the core of empirical scientific research. To ensure measurement is optimal, and thereby maximize inference, there has been a recent surge of interest among researchers in the design of experiments that lead to rapid accumulation of information about the phenomenon under study with the fewest possible measurements. Statisticians have ...