Isbn: 9780803924253 - stochastic parameter regression models (17 risultati)

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Soft cover. Condizione: Very Good+. 1st Edition. First edition, first printing. Paperback as issued. 80 pp. Very Good+ condition. No inscriptions.

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Paperback. Condizione: New. 1st. Whereas standard regression models force economic relationships or behavior to be fixed through time, stochastic parameter regression models allow relationships to vary slowly--without need for specification of the causes of that variation. The authors thoroughly examine the usefulness of the Kalman filter and state-space modeling in work with the stochastic parameter regression model.…

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Paperback or Softback. Condizione: New. Stochastic Parameter Regression Models. Book.

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paperback. Condizione: New. In shrink wrap. Looks like an interesting title.

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Paperback. Condizione: Brand New. 80 pages. 8.75x5.50x0.25 inches. In Stock.

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Paperback. Condizione: New. 1st. Whereas standard regression models force economic relationships or behavior to be fixed through time, stochastic parameter regression models allow relationships to vary slowly--without need for specification of the causes of that variation. The authors thoroughly examine the usefulness of the Kalman filter and state-space modeling in work with the stochastic parameter regression model.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnPaul Newbold was born in England in 1945. In 1966 he obtained a BSc in Economics at the London School of Economics, before continuing to study for a PhD in Statistics at the University of Wisconsin. He worked under the sup.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This excellent introduction to stochastic parameter regression models is more advanced and technically difficult than other papers in this series. These models allow relationships to vary through time, rather than requiring them to be fixed, without forcing the analyst to specify and analyze the causes of the time-varying relationships. This volume will be most useful to those with a good working knowledge of standard regression models and who wish to understand methods which deal with relationships that vary slowly over time, but for which the exact causes of variation cannot be identified. …