In wanting to summarise evidence from a number of studies a variety of statistical methods have been proposed. Of these the most widely used is the so-called xed effect model in which the individual studies are estimating a single, but unknown, overall population e ect. When there is `considerable' heterogeneity, in terms of the e ect sizes, between the studies the use of a random e ect model h...

In previous work we have developed a methodology for texture recognition and synthesis that estimates and exploits the dependencies across scale that occur within images.1,2 In this paper we discuss the application of this technique to synthetic aperture radar (SAR) vehicle classification. Our approachmeasures characteristic cross-scale dependencies in training imagery; targets are recognized w...

Models of a psychological process can be difficult to discriminate experimentally because it is not easy to determine the values of the critical design variables (e.g., presentation schedule, stimulus structure) that will be most informative in differentiating them. Recent developments in sampling-based search methods in statistics make it possible to determine these values and thereby identify...

We modified a two-stage model for color discrimination proposed in a previous study [Color Res. Appl.25, 105 (2000)]; in order to extend the model to wider conditions, we considered the conditions with luminance modulations in addition to color modulations. Using the modified model, we successfully predicted color discrimination data with test color changes along both the chromatic and luminanc...

Motivation: The notion of texture is difficult to capture formally. Textures are usually the output of some random physical process wherein local structure is repeated seemingly at random and there is a lack of global structure. So, while the fur of a leopard is considered to be a texture, the entire leopard is not. This distinction is unavoidably arbitrary. We present an approach to texture re...

The noisy short utterance is polluted by noise and corpus is less, so the recognition rate significantly decreased. For improving recognition rate, we proposed the dual information quality discrimination algorithm to classify the speech frames: one is differences detection and discrimination algorithm (DDADA), another is the improved SNR discrimination algorithm (ISNRDA). Based on the above two...

This paper addresses a fundamental, yet unresolved, question: is statistical discrimination a market failure? I contrast a competitive model of statistical discrimination with the allocation chosen by a social planner who must respect the same informational and technological constraints as the rms in the decentralized model. Equilibria are always contrained ine cient due to \free riding" in hum...

This article offers a 3-parameter model of testing, with 1) the difference between the ability level of the examinee and item difficulty; 2) the examinee discrimination and 3) the item discrimination as model parameters.

No part of this work may be reproduced by print, photocopy or any other means without the permission in writing from the publisher. Before him [Gandalf] stood a dark arch opening into three passages: all led in the same general direction, eastwards; but the left-hand passage plunged down, while the right-hand climbed up, and the middle way seemed to run on, smooth and level but very narrow. Sum...

Experimental design and data collection constitute two main steps of the iterative research cycle (aka the scientific method). To help evaluate competing hypotheses, it is critical to ensure that the experimental design is appropriate and maximizes information retrieval from the system of interest. Scientific hypothesis testing is implemented by comparing plausible model structures (conceptual ...