927 resultados para return autocorrelation
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Mode of access: Internet.
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Frontispiece with portrait of author.
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"Rev. 8, 1999."
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Vols. for 1855-1912 include the publication: Annual summary of births, deaths and causes of death in London and other large towns; these precede the Weekly returns in the volumes.
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Series title also at head of t.-p.
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Bibliography : p. 13.
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Hearings on S.95-97.
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Clerk of the Council is G.L. Gomme.
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The topic of this study is Washington State vehicle surplus and whether a higher yield on tax payer investment in the purchase, sale and use of state motor vehicles can be achieved. The hypothesis that will be addressed is: Can Washington State create a higher return on investment from tax payer dollars by donating vehicles to automotive training programs? I explore this topic by asking, a) What is the current policy? b) What is the perception of automotive educators on that policy? c) What are the returns currently and could they be improved through policy change? The methodology for testing is by obtaining quantitative data from the state and other entities on vehicle purchases, costs, and responses to surveys by automotive educators in the state. Qualitative data will be explored in context to the policies, and education then incorporating it into a Cost/Benefit analysis on the return on investment to taxpayers.
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Thesis (Master's)--University of Washington, 2016-06
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Thesis (Master's)--University of Washington, 2016-06
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Minimum/maximum autocorrelation factor (MAF) is a suitable algorithm for orthogonalization of a vector random field. Orthogonalization avoids the use of multivariate geostatistics during joint stochastic modeling of geological attributes. This manuscript demonstrates in a practical way that computation of MAF is the same as discriminant analysis of the nested structures. Mathematica software is used to illustrate MAF calculations from a linear model of coregionalization (LMC) model. The limitation of two nested structures in the LMC for MAF is also discussed and linked to the effects of anisotropy and support. The analysis elucidates the matrix properties behind the approach and clarifies relationships that may be useful for model-based approaches. (C) 2003 Elsevier Science Ltd. All rights reserved.