Condizione: Very Good. paperback 100% of proceeds go to charity! May have signs of use, wear and minor cosmetic defects.
Da: WorldofBooks, Goring-By-Sea, WS, Regno Unito
EUR 3,83
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Aggiungi al carrelloPaperback. Condizione: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,67
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 65,92
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Aggiungi al carrelloCondizione: New.
Da: Revaluation Books, Exeter, Regno Unito
EUR 74,53
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Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 69 pages. 8.25x5.25x0.25 inches. In Stock.
Da: Majestic Books, Hounslow, Regno Unito
EUR 60,15
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Aggiungi al carrelloCondizione: New. Print on Demand pp. vi + 69 Illus.
Condizione: New. Print on Demand pp. vi + 69 1st Edition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 61,28
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. vi + 69.
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 72,52
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: moluna, Greven, Germania
EUR 56,92
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Über den AutorLawrence C. Marsh is a professor emeritus in economics at the University of Notre Dame, where he taught statistics and graduate econometrics for 30 years, and served as visiting professor in psychology at Avila .
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 68,98
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spline Regression Models shows the nuts-and-bolts of using dummy variables to formulate and estimate various spline regression models. For some researchers this will involve situations where the number and location of the spline knots are known in advance, while others will need to determine the number and location of spline knots as part of the estimation process. Through the use of a number of straightforward examples, the authors will show readers how to work with both types of spline knot situations as well as offering practical, down-to-earth information on estimating splines.