Results 251 to 260 of about 2,447,655 (294)

The Product Cycle and Shifts in the Location of Manufacturing

1984
The principal aim of this study has been to examine whether industrial growth in South Carolina can be explained by its ability to attract industries in the later stages of the product cycle. Empirical analysis clearly suggests that the state is attracting industries in the mature phase.
Ersenkal, Caryl R., Dillman, B.L., Ersenkal, Caryl R., Dillman, B.L.   +3 more
openaire   +3 more sources

Sex differences in remembering the locations of objects in an array: Location-shifts versus location-exchanges

Evolution and Human Behavior, 1997
Abstract Women outperformed men on Silverman and Eals' Location Memory task when the locations of pairs of objects were exchanged, as in their original study, but not when the locations of objects were shifted to sites previously unoccupied by another object.
Thomas James, Doreen Kimura
exaly   +2 more sources

Irradiation, Border Location, and the Shifted-Chessboard Pattern

Perception, 2007
The position of a black – white border is perceived somewhat towards the black side of its physical location. New measurements were performed of the magnitude of this effect for foveal vision in the normal observer and it was found to be about 0.4 min of arc at medium photopic luminances.
openaire   +2 more sources

CUSUM Charts for Signalling Varying Location Shifts

Journal of Quality Technology, 2000
The conventional cumulative sum (CUSUM) with k = 0.5 is often used as the default CUSUM statistic when future shifts are unknown.
Ross Sparks
exaly   +2 more sources

Shift and share and the theory of industrial location

Regional Studies, 1976
‘… the shift and share technique is not a useful framework for regional projection … the competitive component is not associated with the forces others have argued determine a region's competitive position,’ Brown (1969) Chalmers J. A. and Beckhelm T. L. (1976). Shift and share and the theory of industrial location, Reg. Studies, 10, 15–23.
James A. Chalmers, Terrance L. Beckhelm
openaire   +1 more source

Shifting location, shifting scale

2015
The research described in this thesis comprised an archaeological study of a specific river catchment in the central Australian ranges. Previous research had demonstrated the potential of the central Australian ranges to contribute to understandings of arid zone settlement and human adjustment to environmental change. To further exploit this potential,
openaire   +1 more source

Studying Attention Shifts With Location Cueing

2008
Abstract Helmholtz demonstrated that focused attention can be shifted voluntarily and independently of eye position. He also suggested that shifting focused attention to a particular region in the visual field can increase the efficiency of analysis of the items located there.
Richard D Wright, Lawrence M Ward
openaire   +1 more source

Mean shift based orientation and location tracking of targets

2010 Sixth International Conference on Natural Computation, 2010
The mean shift based tracking algorithm has achieved considerable success in tracking targets' location due to its simplicity and robustness. It finds local minima of a similarity measure between the color histograms or kernel density estimates of the model and target image. However, it can't track the targets' orientation.
Changjun Wang, Zhang Li
openaire   +2 more sources

Testing a Sequence of Observations for a Shift in Location

Journal of the American Statistical Association, 1977
Abstract A possible alternative to the hypothesis that the sequence X 1, X 2, …, Xn are iid N(ξ, σ2) random variables is that at some unknown instant the expectation ξ shifts. The likelihood ratio test for the alternative of a location shift is studied and its distribution under the null hypothesis found.
openaire   +1 more source

Location and Scatter Matching for Dataset Shift in Text Mining

2010 IEEE International Conference on Data Mining, 2010
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed as exploiting only the first-order statistics, namely, the empirical mean discrepancy to evaluate the distribution gap.
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong   +3 more
openaire   +2 more sources