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Venditore AbeBooks dal 12 ottobre 2005
Paperback. This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory. This book explores the application of eigenanalysis to statistical data from the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, and other R-mode methods of analysis, can successfully reduce masses of data to manageable and interpretable form. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780521575560
Explores the application of eigenanalysis to statistical data from the natural sciences to achieve statistical reduction and to construct scientific models.
Recensione: 'Overall I found this to be an excellent volume and would certainly recommend it to anyone who wishes to understand factor analysis in the wide sense, whatever their background discipline.' David J. Hand, Journal of the Royal Statistical Society
Titolo: Applied Factor Analysis in the Natural ...
Casa editrice: Cambridge University Press, Cambridge
Data di pubblicazione: 1996
Legatura: Paperback
Condizione: new
Da: HPB-Red, Dallas, TX, U.S.A.
Paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Codice articolo S_396367453
Quantità: 1 disponibili
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and 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. Codice articolo Z1-C-066-01146
Quantità: 1 disponibili
Da: Chiron Media, Wallingford, Regno Unito
Paperback. Condizione: New. Codice articolo 6666-IUK-9780521575560
Quantità: 10 disponibili
Da: Revaluation Books, Exeter, Regno Unito
Paperback. Condizione: Brand New. subsequent edition. 371 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand. Codice articolo __0521575567
Quantità: 1 disponibili
Da: Ria Christie Collections, Uxbridge, Regno Unito
Condizione: New. In. Codice articolo ria9780521575560_new
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9780521575560
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Codice articolo C9780521575560
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book explores the application of eigenanalysis to statistical data from the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, and other R-mode methods of analysis, can su. Codice articolo 446940708
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Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. This graduate-level text aims to introduce students of the natural sciences to the powerful technique of factor analysis and to provide them with the background necessary to be able to undertake analyses on their own. A thoroughly updated and expanded version of the authors' successful textbook on geological factor analysis, this book draws on examples from botany, zoology, ecology, and oceanography, as well as geology. Applied multivariate statistics has grown into a research area of almost unlimited potential in the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, principal coordinate analysis, and correspondence analysis, can reduce masses of data to manageable and interpretable form. Q-mode and Q-R-mode methods are also presented. Special attention is given to methods of robust estimation and the identification of atypical and influential observations. Throughout the book, the emphasis is on application rather than theory. This book explores the application of eigenanalysis to statistical data from the natural sciences. The methods introduced in this book, such as classical principal components, principal component factor analysis, and other R-mode methods of analysis, can successfully reduce masses of data to manageable and interpretable form. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780521575560
Quantità: 1 disponibili
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. Explores the application of eigenanalysis to statistical data from the natural sciences to achieve statistical reduction and to construct scientific models. Num Pages: 384 pages, 67 b/w illus. BIC Classification: PBT; RB. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 22. Weight in Grams: 560. . 1997. 2nd Edition. paperback. . . . . Codice articolo V9780521575560
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