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Many of these investigations may conducted under the rubric of reliability studies, but as discussed previously, reliability itself falls within the generalizability aspect of construct validation External Aspects The external aspects of construct validity refer to score relationships with other measures and behaviors; these relationships should re ect the relations implicit in the theory of the construct being assessed The classic paper by Campbell and Fiske (1959) highlighted that both convergent and discriminant patterns of correlations are important Convergent validation involves examining correlations with other indicators of the same construct, and as such typically subsumes the concept of criterion validity; discriminant validation, as.

7.5.1.5 SA Noise Autocorrelation A clock dithering algorithm is described in U.S. Patent 4,646,032 [134], including a parametric model of the autocorrelation function (autocovariance function divided by variance) of the resulting timing errors. SA was suspended on May 1, 2000, but can be turned on again. Knowledge of the dithering algorithm does not necessarily give the user any advantage, but there is at least a suspicion that this may be the algorithm used for SA dithering of the individual GPS satellite time references. Its theoretical autocorrelation function is plotted in Fig. 7.6 along with an exponential correlation curve. The two are scaled to coincide at the autocorrelation coef cient value of 1=e % 0:36787944 . . ., the argument at which correlation time is de ned. Unlike exponentially correlated noise, this source has greater short-term correlation and less long-term correlation. The correlation time of SA errors determined from GPS signal analysis is on the order of 102 103 s. It is possible that the actual correlation time is variable, which might explain the range of values reported in the literature. Although this is not an exponential autocorrelation function, it could perhaps be modeled as such.

linear regression and should be improved by the fuzzy model component FLEXFIS, which was applied purely based on measurement data The analytical model is physically motivated by material laws that go back to Spittel and Hensel [26]; in modi ed form, the resistance value can be estimated by an exponential function of the temperature, speed, and thickness of the steel plate Approximately 6000 training data points and approximately 6000 online data points including 13 system variables (12 inputs, 1 output), such as thickness of the steel plate before and after the rolling mill, average temperature, grain size, and others, were collected during online production Time delays up to 10 were added for each input variable, leading to 121 input channels.

nervosa, a disorder that results in selfstarvation. Anorexia nervosa is especially prevalent in adolescent girls. Significant weight loss may also be associated with a number of medical problems (e.g., brain tumor) or other psychiatric problems (e.g., depression). To determine whether the weight loss symptoms might be associated with

The maximal delay was set to 10, as from the experience of the operators it is known that the resistance value is affected by in uence values recorded maximally 8 to 10 passes ago (where one pass delivers one measurement) A 10-fold cross-validation procedure [56] with the training data was conducted for different parameter settings, varying the number of rules in the fuzzy model and varying the input dimension from 1 to 20, whereas the most important inputs were selected using a modi ed version of forward selection [20] It turned out that the maximal delay in any of the selected input variables was 8.

Stephen P. Savage Professor, Institute of Criminal Justice Studies, University of Portsmouth, Ravelin House, Ravelin Park, Museum Road, Portsmouth PO1 2QQ, UK. Leonore M.J. Simon Associate Professor, Department of Criminal Justice and Criminology, East Tennessee State University, PO Box 70555, Johnson City, Tennessee TN 37614, USA. William C. Thompson Professor, Department of Criminology, Law and Society, University of California at Irvine, Irvine, California 92697-7080, USA. Judith Trowell Consultant Psychiatrist, Tavistock Clinic, 120 Belsize Lane, London NW3 5BA, UK. Eileen Vizard Consultant Child and Adolescent Psychiatrist and Honorary Senior Lecturer, University College London, The Young Abusers Project, The Peckwater Centre, 6 Peckwater Street, London NW5 2TX, UK. Aldert Vrij Professor of Applied Social Psychology, University of Portsmouth, Psychology Department, King Henry Building, King Henry 1 Street, Portsmouth PO1 2DY, UK. Andrea Watts Crime Analyst, Serious Crime Analysis Section, National Crime Faculty, Centrex, Bramshill, Hook, Hampshire RG27 0JW, UK. David B. Wexler Lyons Professor of Law and Professor of Psychology, University of Arizona, and Professor of Law and Director, International Network on Therapeutic Jurisprudence, University of Puerto Rico, College of Law, University of Arizona, PO Box 210176, Tucson, Arizona 85721-0176, USA. John Williams Professor of Law, Department of Law, University of Wales, Hugh Owen Building, Penglais, Aberystwyth, Ceredigion SY23 3DY, UK. Tom Williamson Senior Research Fellow, Institute of Criminal Justice Studies, University of Portsmouth, Ravelin House, Ravelin Park, Museum Road, Portsmouth PO1 2QQ, UK. Bruce J. Winick Professor of Law, University of Miami School of Law, 1311 Miller Drive, Coral Gables, Florida 33146, USA.