Identification, Equivalent Models and Computer Algebra (Statistical Modeling and Decision Science) - Tapa dura
Libro 7 de 12: Statistical Modeling and Decision Science
Sinopsis
This work provides conditions for the identification of major relevant classes of models. Checking these conditions requires complex algebraic computations, which can now be performed by computer. This book provides relevant algorithms and programs. It includes a diskette containing the program.
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Reseña del editor
This work provides conditions for the identification of major relevant classes of models. Checking these conditions requires complex algebraic computations, which can now be performed by computer. This book provides relevant algorithms and programs. It includes a diskette containing the program.
Reseña del editor
This book examines the identification of major models employed in economics and the social science. It explores equivalence between different, non-tested models. The book also includes a diskette containing the program, for hands-on use by the reader.
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Identification, Equivalent Models, and Computer Algebra (Statistical Modeling and Decision Science)
Publicado por
Academic Pr, 1993
ISBN 10: 0120847752
ISBN 13: 9780120847754
Antiguo o usado
Tapa dura
Librería: Salish Sea Books, Bellingham, WA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Good. 0120847752 Good++; Hardcover; Clean covers with minor edgewear; Unblemished textblock edges; The endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; Disc is still sealed; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Dark gray covers with title in silver lettering; 1994, Academic Press; 224 pages; "Identification, Equivalent Models, and Computer Algebra (Statistical Modeling and Decision Science)," by Paul A. Bekker, et al. Nº de ref. del artículo: SKU-U12XE01307206
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Se envía dentro de Estados Unidos de America
Se envía dentro de Estados Unidos de America
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