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Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Vendedor de AbeBooks desde 22 de noviembre de 2018
pp. xvii + 569 Index. N° de ref. del artículo 26369776
WILEY-INTERSCIENCE PAPERBACK SERIES
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
From the Reviews of A User’s Guide to Principal Components
"The book is aptly and correctly named–A User’s Guide. It is the kind of book that a user at any level, novice or skilled practitioner, would want to have at hand for autotutorial, for refresher, or as a general-purpose guide through the maze of modern PCA."
–Technometrics
"I recommend A User’s Guide to Principal Components to anyone who is running multivariate analyses, or who contemplates performing such analyses. Those who write their own software will find the book helpful in designing better programs. Those who use off-the-shelf software will find it invaluable in interpreting the results."
–Mathematical Geology
Acerca del autor:
J. Edward Jackson received his Ph. D. from Virginia Tech in 1947. His first position was as a statistician for Eastman Kodak for whom he worked 37 years. He was self-employed from 1985-91. He and his wife, Suzanne, continue to live in New York.
Título: A User's Guide to Principal Components
Editorial: John Wiley & Sons
Año de publicación: 2003
Encuadernación: Encuadernación de tapa blanda
Condición: New
Librería: Better World Books Ltd, Dunfermline, Reino Unido
Condición: Very Good. Ships from the UK. Used book that is in excellent condition. May show signs of wear or have minor defects. Nº de ref. del artículo: 50001521-20
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Librería: Book House in Dinkytown, IOBA, Minneapolis, MN, Estados Unidos de America
Paperback. Condición: Very Good. Very good paperback copy, from a personal collection (NOT ex-library). Binding tight, sturdy, and square; text also very good. Shelfwear is very minor. Ships from Dinkytown in Minneapolis, Minnesota. Due to the size/weight of this book extra charges may apply for international shipping. Nº de ref. del artículo: 291053
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Librería: Treehorn Books, Santa Rosa, CA, Estados Unidos de America
Softcover. Condición: Very Good. Estado de la sobrecubierta: No Dust Jacket. 9.2 X 6.1 X 1.4 inches; 592 pages. Nº de ref. del artículo: 8628
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Librería: Toscana Books, AUSTIN, TX, Estados Unidos de America
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. From the Reviews of A Users Guide to Principal Components "The book is aptly and correctly namedA Users Guide. It is the kind of book that a user at any level, novice or skilled practitioner, would want to have at hand for autotutorial, for refresher, or as a general-purpose guide through the maze of modern PCA." Technometrics "I recommend A Users Guide to Principal Components to anyone who is running multivariate analyses, or who contemplates performing such analyses. Those who write their own software will find the book helpful in designing better programs. Those who use off-the-shelf software will find it invaluable in interpreting the results." Mathematical Geology Dealing with the "how to do it" as well as the '"why it works," this book is designed for practitioners of principal component analysis. It explores topics such as: extension to p variables, scaling input data, inferential procedures, operations with group data, and vector interpretation. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780471471349
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