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- Johansson, Börje, et al.
(författare)
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Technical Change, Location and Trade
- 1987
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Ingår i: Papers in regional science (Print). - Umeå : Umeå universitet. - 1056-8190 .- 1435-5957. ; 62:1, s. 13-35
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Rapport (övrigt vetenskapligt/konstnärligt)abstract
- The difference between the slow adjustment of localized resources and the faster processes of technical change and product renewal cause a relocation pressure on existing production. Introduction of new products, techniques and establishments is stimulated by opportunities to attain temporary monopoly profits and is restrained by sunk costs in older vintages and competition for local resources. Introduction is more frequent in nodes with a rich and varied importstructure. The process can be modelledas a chain of import, production and export cycles with relocation. Conditions for introduction and change of location are analysed by means of a spatial vintage model.
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- Blennow, Marie-Louise
(författare)
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Aktuell litteratur
- 1989
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Ingår i: Kulturmiljövård. - Stockholm : Riksantikvarieämbetet. - 1100-4800. ; :1, s. 32-33
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Recension (populärvet., debatt m.m.)
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- Ottersten, Björn, et al.
(författare)
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Stochastic maximum likelihood estimation in sensor arrays by weighted subspace fitting
- 1989
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Ingår i: Conference Record - Asilomar Conference on Circuits, Systems & Computers. - Pacific Grove, CA, USA : Linköping University. ; , s. 599-603, s. 599-603
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Konferensbidrag (refereegranskat)abstract
- The problem of estimating parameters of multiple narrowband emitter signals from sensor array data is considered. Under the assumption of Gaussian distributed emitter signals, the stochastic maximum-likelihood (ML) technique is known to provide statistically efficient estimates, i.e., it achieves the Cramer-Rao bound (CRB). A multidimensional signal subspace method, termed weighted subspace fitting (WSF), has recently been proposed. It is shown that the WSF and ML estimates are asymptotically identical (for large data records). As a consequence, the WSF method is asymptotically efficient, assuming temporally white Gaussian signal waveforms and noise.
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