Matrices statistics von healy (40 Ergebnisse)

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Paperback. Zustand: 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.

Paperback. Zustand: Very Good. Matrices for Statistics This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .…

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Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,350grams, ISBN:9780198522072.…

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Zustand: New. This textbook provides an introduction to the basis of matrix theory. It has been re-written and revised to take account of developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. Vectorising, matrix calculus and complex numbers are also covered. Num Pages: 160 pages, 1 line figure, numerous mathematical examples. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 9. Weight in Grams: 246. . 2001. 2nd Edition. paperback. . . . .…

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: As New. Unread book in perfect condition.

Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

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Zustand: New. In English.

Paperback. Zustand: New. Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in matrix terms. Anyone concerned with the analysis of data needs to be familiar with these methods and a knowledge of matrices is essential in order to understand the literature in which they are described. This knowledge must include some advanced topics, but can do without much of the material covered by general textbooks of matrix algebra. This book is intended to cover the necessary ground as briefly as possible. Only the simplest of basic mathematics is used, and the book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical background. The text of the first edition has been re-written and revised to take account of recent developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. A new chapter has been included, at readers' request, to cover such topics as vectorising, matrix calculus and complex numbers. From the reviews of the first edition '.this should be a valuable handbook for a great variety of statistical users.' Short Book Reviews of the International Statistics Institute '.a good reference book for the serious student.' Journal of the American Statistical Association '.a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics.…

Zustand: New. This textbook provides an introduction to the basis of matrix theory. It has been re-written and revised to take account of developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. Vectorising, matrix calculus and complex numbers are also covered. Num Pages: 160 pages, 1 line figure, numerous mathematical examples. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 234 x 157 x 9. Weight in Grams: 246. . 2001. 2nd Edition. paperback. . . . . Books ship from the US and Ireland.…

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New. Multiple regression, linear modelling, and multivariate analysis are among the most useful statistical methods for the elucidation of complicated data, and all of them are most easily explained in matrix terms. Anyone concerned with the analysis of data needs to be familiar with these methods and a knowledge of matrices is essential in order to understand the literature in which they are described. This knowledge must include some advanced topics, but can do without much of the material covered by general textbooks of matrix algebra. This book is intended to cover the necessary ground as briefly as possible. Only the simplest of basic mathematics is used, and the book should be accessible to engineers, biologists, and social scientists as well as those with a specifically mathematical background. The text of the first edition has been re-written and revised to take account of recent developments in statistical practice. The more difficult topics have been expanded and the mathematical explanations have been simplified. A new chapter has been included, at readers' request, to cover such topics as vectorising, matrix calculus and complex numbers. From the reviews of the first edition '.this should be a valuable handbook for a great variety of statistical users.' Short Book Reviews of the International Statistics Institute '.a good reference book for the serious student.' Journal of the American Statistical Association '.a very worthwhile addition to anyone's shelf. Teaching Statistics 'I recommend it.' Technometrics.…

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