Applied Multivariate Analysis by Bernstein Ira (20 results)

Condition: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

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hardcover. Condition: Very Good. No dust jacket as issued No dust jacket. Very Good hardcover with light shelfwear - NICE! Standard-sized.

gebundene Ausgabe. Condition: Gut. 508 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 930.…

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Condition: Used.

Condition: Used.

Hardcover. Condition: New. In shrink wrap. Looks like an interesting title.

Condition: Used.

Condition: New. In English.

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Condition: New. pp. 532.

Paperback. Condition: Brand New. reprint edition. 527 pages. 9.25x6.10x1.10 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to 'concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. ' I find the distinction between individuals who are temperamentally 'mathe maticians' (whom philosophy students might call 'Platonists') and 'scientists' ('Aristotelians') useful as long as it is not pushed to the point where one assumes 'mathematicians' completely disdain data and 'scientists' are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the 'scientist' rather than the 'mathematician' role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions.…

Condition: new. Questo è un articolo print on demand.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to 'concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. ' I find the distinction between individuals who are temperamentally 'mathe maticians' (whom philosophy students might call 'Platonists') and 'scientists' ('Aristotelians') useful as long as it is not pushed to the point where one assumes 'mathematicians' completely disdain data and 'scientists' are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the 'scientist' rather than the 'mathematician' role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions. 532 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly .…

Condition: New. Print on Demand pp. 532 Figure, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 532.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Like most academic authors, my views are a joint product of my teaching and my research. Needless to say, my views reflect the biases that I have acquired. One way to articulate the rationale (and limitations) of my biases is through the preface of a truly great text of a previous era, Cooley and Lohnes (1971, p. v). They draw a distinction between mathematical statisticians whose intel lect gave birth to the field of multivariate analysis, such as Hotelling, Bartlett, and Wilks, and those who chose to 'concentrate much of their attention on methods of analyzing data in the sciences and of interpreting the results of statistical analysis . . . . (and) . . . who are more interested in the sciences than in mathematics, among other characteristics. ' I find the distinction between individuals who are temperamentally 'mathe maticians' (whom philosophy students might call 'Platonists') and 'scientists' ('Aristotelians') useful as long as it is not pushed to the point where one assumes 'mathematicians' completely disdain data and 'scientists' are never interested in contributing to the mathematical foundations of their discipline. I certainly feel more comfortable attempting to contribute in the 'scientist' rather than the 'mathematician' role. As a consequence, this book is primarily written for individuals concerned with data analysis. However, as noted in Chapter 1, true expertise demands familiarity with both traditions.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 532 pp. Englisch.…