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Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Shows some signs of 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.
EUR 89,06
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
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Da: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Germania
EUR 75,00
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Aggiungi al carrellogebundene Ausgabe. Condizione: Gut. 165 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber und kann entsprechende Merkmale aufweisen (Rückenschild, Instituts-Stempel.). In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 470.
Lingua: Inglese
Editore: Psychology Press 2015-05-08, 2015
ISBN 10: 1138882828 ISBN 13: 9781138882829
Da: Chiron Media, Wallingford, Regno Unito
EUR 80,42
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 88,03
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2015
ISBN 10: 1138882828 ISBN 13: 9781138882829
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 107,44
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Aggiungi al carrelloPaperback. Condizione: New. A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables. This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.
EUR 110,19
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Aggiungi al carrelloPaperback. Condizione: Brand New. 165 pages. 9.25x6.25x0.50 inches. In Stock.
EUR 126,35
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EUR 148,15
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Hardcover. Condizione: new. New Copy. Customer Service Guaranteed.
EUR 49,55
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | First Published in 1994. Routledge is an imprint of Taylor & Francis, an informa company.
Lingua: Inglese
Editore: Taylor and Francis Ltd, GB, 2015
ISBN 10: 1138882828 ISBN 13: 9781138882829
Da: Rarewaves.com UK, London, Regno Unito
EUR 101,06
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Aggiungi al carrelloPaperback. Condizione: New. A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach is computational. Since many users find that they do not need to know the mathematical basis of the techniques as long as they have a way to transform data into results, the computation can be done by a package of computer programs that somebody else has written. An approach from this perspective emphasizes how the computer packages are used, and is usually coupled with rules that allow one to extract the most important numbers from the output and interpret them. Useful as both approaches are--particularly when combined--they can overlook an important aspect of multivariate analysis. To apply it correctly, one needs a way to conceptualize the multivariate relationships that exist among variables. This book is designed to help the reader develop a way of thinking about multivariate statistics, as well as to understand in a broader and more intuitive sense what the procedures do and how their results are interpreted. Presenting important procedures of multivariate statistical theory geometrically, the author hopes that this emphasis on the geometry will give the reader a coherent picture into which all the multivariate techniques fit.
EUR 183,23
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EUR 204,50
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Aggiungi al carrelloCondizione: New.
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Aggiungi al carrelloCondizione: New. pp. 176.
EUR 210,59
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Aggiungi al carrelloCondizione: New.
Condizione: New. pp. 176.
EUR 218,49
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Aggiungi al carrelloCondizione: New. In.
EUR 220,73
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Aggiungi al carrelloCondizione: New. pp. 176.
Lingua: Inglese
Editore: Lawrence Erlbaum Assoc Inc, 1995
ISBN 10: 0805816569 ISBN 13: 9780805816563
Da: Revaluation Books, Exeter, Regno Unito
EUR 273,51
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 176 pages. 9.50x6.25x0.75 inches. In Stock.
EUR 274,16
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EUR 264,64
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EUR 300,80
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Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 91,42
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 89,28
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.