Perlite or pearl stone is a natural glass which has formed by rapid cooling of viscous lava or magma. Perlite is mainly composed of silica, aluminum, potassium and sodium. In this experiment, perlite was used as a low-cost source of Si and Al to synthesis of sodalite zeolite using the alkaline hydrothermal treatment. A statistical Taguchi design of experiments was employed to evaluate the effec...

AbstractThe purpose of this study was to investigate the controllable operating parameters influence, including pH, solid content, collector, co-collector, and depressant dose, and conditioning time, on apatite flotation kinetics. Four first order flotation kinetic models are tested on batch flotation time-recovery profiles. The results of batch flotation tests and the fitting of first-order ki...

Nanocrystalline ceria has been considered as support for carbon monoxide preferentially oxidation. In this study ceria was prepared by precipitation method and the effects of preparation conditions, such as pH of solution (8-10), aging time (1-12 hr), drying temperature (80-120 °C), calcination time (2-6 hr) and temperature (400-600 °C) were investigated on ceria synthesized powders properties....

Bayesian optimal experimental design is a sub-field of statistics focused on developing methods to make efficient use resources. Any potential evaluated in terms utility function, such as the (theoretically well-justified) expected information gain (EIG); unfortunately however, under most circumstances EIG intractable evaluate. In this work we build off successful variational approaches, which ...

Stated choice experiments are often used in transportation studies for estimating and forecasting behavior of travelers, road authorities, etc. This kind of experiments rely on underlying experimental designs. Whilst orthogonal designs are mainstream for practitioners, many researchers now realize that so-called efficient designs are able to produce more efficient data in the sense that more re...

In the past, few mainstream epistemologists have endorsed Bayesian epistemology, feeling that it fails to capture the complex structure of epistemic cognition. The defenders of Bayesian epistemology have tended to be probability theorists rather than epistemologists, and I have always suspected they were more attracted by its mathematical elegance than its epistemological realism. But recently ...

1. Introduction: Recent work by Schennach(2005) has opened the way to a Bayesian treatment of quantile regression. Her method, called Bayesian exponentially tilted empirical likelihood (BETEL), provides a likelihood for data y subject only to a set of m moment conditions of the form Eg(y, θ) = 0 where θ is a k dimensional parameter of interest and k may be smaller, equal to or larger than m. Th...

A Bayesian spatial assimilation scheme for snow coverage observations in a gridded snow model S. Kolberg, H. Rue, and L. Gottschalk SINTEF Energy Research, Sem Sælands vei 11, 7465 Trondheim, Norway Department of Mathematical Sciences, NTNU, 7491 Trondheim, Norway Department of Geosciences, University of Oslo. P.O. Box 1047 Blindern, 0316 Oslo, Norway Received: 24 June 2005 – Accepted: 6 July 2...

An important challenge in the design and analysis of event-related or single-trial functional magnetic resonance imaging (fMRI) experiments is to optimize statistical efficiency, i.e., the accuracy with which the event-related hemodynamic response to different stimuli can be estimated for a given amount of imaging time. Several studies have suggested that using a fixed inter-stimulus-interval (...

Decomposable models and Bayesian net­ works can be defined as sequences of oligo­ dimensional probability measures connected with opemtors of composition. The prelim­ inary results suggest that the probabilistic models allowing for effective computational procedures are represented by sequences pos­ sessing a special property; we shall call them perfect sequences. The present paper lays down th...