In classical time domain Box-Jenkins identification discrete-time plant and noise models are estimated using sampled input/output signals. The frequency content of the input/output samples covers uniformly the whole unit circle in a natural way, even in case of prefiltering. In Ljung (1999) the time domain Box-Jenkins framework has been extended to frequency domain data captured in open loop on...

The head of a gorgon—page 6 On a recent visit to London I had the privilege to meet Dr Ian Jenkins the current Curator of Greek and Roman Antiquities at the British Museum. Dr Jenkins is one of world’s leading authorities on the subject of the Ionic Frieze of the Parthenon in Athens. He is also a foremost historian of a great debate, whether collections of classical sculpture are to be properly...

This study identified stable components of Type A behavior as usually defined, and examined their relationships with more traditional psychological constructs. Overall scores on the most popular Type A measure (a version of the Jenkins Activity Survey) were moderately associated with ambition but largely unrelated to measures of adjustment. An item analysis yielded s~~bcomponents of Drivenness ...

The holy grail of obesity research is a simple, single solution that could stem the tide of this epidemic. But research we published in PLOS ONE today shows that this is an implausible, if not impossible, goal. Disciplines Medicine and Health Sciences | Social and Behavioral Sciences Publication Details Jenkins, A. & Campbell, L. (2013). Genetic research shows single approach to obesity won't w...

In this paper, two CI techniques, namely, single multiplicative neuron (SMN) model and adaptive neuro-fuzzy inference system (ANFIS), have been proposed for time series prediction. A variation of particle swarm optimization (PSO) with co-operative sub-swarms, called COPSO, has been used for estimation of SMN model parameters leading to COPSO-SMN. The prediction effectiveness of COPSOSMN and ANF...

The generation and the properties of the multi-step point predictors of the Self Exciting Threshold AutoRegressive Moving Average model has been examined. In the first part we focus the attention on the main properties of this class of models and on their different representations that can be derived extending, to the non linear case, some well know results given in Box and Jenkins (1976). Star...

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a network model of human category learning. SUSTAIN is a three layer model where learning between the first two layers is unsupervised, while learning between the top two layers is supervised. SUSTAIN clusters inputs in an unsupervised fashion until it groups input patterns inappropriately (as signaled by the super...

Most models for the time series of stock prices have centered on autoregressive (AR) processes. Traditionaly, fundamantal Box-Jenkins analysis [2] have been the mainstream methodology used to develop time series models. Next, we briefly describe the develop a classical AR model for stock price forecasting. A fuzzy regression model is then introduced. Following this description, an artificial fu...

-Electricity authorities in the UAE have not been successful in developing reliable and accurate models of system peak load. In this study, we develop a time-series-based decisionsupport system that integrates data management, model base management, simulation, graphic display, and statistical analysis to provide near-optimal forecasting models. The model base includes a variety of time-series ...