9780521575560 - Applied Factor Analysis in the Natural Sciences di Reyment, Richard (19 risultati)

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!

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.

Soft Cover. Condizione: Acceptable. Upper page edges have discoloration, otherwise the pages are clean and tight. Binding is good. Cover shows slight wear. 371 pages.

Condizione: New.

Condizione: New. In.

Paperback. Condizione: New.

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. . . . .

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paperback. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: New. pp. 384 2.

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. . . . . Books ship from the US and Ireland.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

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 multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: Brand New. subsequent edition. 371 pages. 9.25x6.25x1.00 inches. In Stock. This item is printed on demand.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Print on Demand pp. 384 67 Illus.

Condizione: New. PRINT ON DEMAND pp. 384.

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.

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.