Titlebook: Applications of Computer Aided Time Series Modeling; Masanao Aoki,Arthur M. Havenner Conference proceedings 1997 Springer-Verlag New York,

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The SSATS Algorithm and Subspace Methods and relates it to subspace methods popular in the engineering literature from the viewpoint of orthogonal projections. Except for the numerical method used to calculate orthogonal projections these two classes of methods are conceptually equivalent..

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Managing the Herd: Price Forecasts for California Cattle Productionore accurate forecasts than a vector autoregressive model or futures market prices. Since the weight gain characteristics of holding cattle over the relevant production periods are well known, the primary uncertainty lies in the prices. Dependable price forecasts permit market participants to optimize their purchases and sales.

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Application of State-Space Models to Ocean Climate Variability in the Northeast Pacific Oceantrend term, a nonstationary seasonal component, and a stationary autoregressive component. Climate scale variations in upwelling, sea surface temperature, and wind stress are examined, and regional differences in the component series on decadal scales are explored.

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Temporal Knowledge for Timely Intelligence,and the sometimes crude issues that arise in their application to real problems. A substantial amount of important practical information is relegated to a minor position and is either haphazardly conveyed in long sessions in the computer laboratory, or not at all. This guide is an attempt to organiz

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Enabling Real-Time Business Intelligenceore accurate forecasts than a vector autoregressive model or futures market prices. Since the weight gain characteristics of holding cattle over the relevant production periods are well known, the primary uncertainty lies in the prices. Dependable price forecasts permit market participants to optimi

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