Cluster Analysis (Reviews of current research ; 11)

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9780470269916: Cluster Analysis (Reviews of current research ; 11)

This First Edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods.

The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.

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From the Publisher:

An accessible and practical introduction to clustering using a minimum of mathematics. This extensively revised edition contains detailed descriptions of the latest methods along with numerous examples and updated information on available software packages. Closing chapters provide suggestions which will be helpful in many situations when applying clustering or evaluating results.

From the Back Cover:

Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organising multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques are applicable in a wide range of areas such as medicine, psychology and market research. This fourth edition of the highly successful Cluster Analysis represents a thorough revision of the third edition and covers new and developing areas such as classification likelihood and neural networks for clustering. Real life examples are used throughout to demonstrate the application of the theory, and figures are used extensively to illustrate graphical techniques. The book is comprehensive yet relatively non-mathematical, focusing on the practical aspects of cluster analysis.

"Sobre este título" puede pertenecer a otra edición de este libro.

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1.

Everitt, Brian
Editorial: Wiley (1980)
ISBN 10: 047026991X ISBN 13: 9780470269916
Usado Cantidad: 1
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Better World Books
(Mishawaka, IN, Estados Unidos de America)
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Descripción Wiley, 1980. Estado de conservación: Good. 2nd. Former Library book. Shows some signs of wear, and may have some markings on the inside. Nº de ref. de la librería GRP82259255

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Everitt, Brian
Editorial: Wiley (1980)
ISBN 10: 047026991X ISBN 13: 9780470269916
Usado Cantidad: 1
Librería
Better World Books
(Mishawaka, IN, Estados Unidos de America)
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Descripción Wiley, 1980. Estado de conservación: Good. 2nd. Shows some signs of wear, and may have some markings on the inside. Nº de ref. de la librería GRP37077644

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Everitt, Brian
Editorial: Wiley
ISBN 10: 047026991X ISBN 13: 9780470269916
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Descripción Wiley. PAPERBACK. Estado de conservación: Good. 047026991X Good condition, binding and pages show signs of wear. Nº de ref. de la librería SKU1014577

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Brian Everitt
Editorial: John Wiley & Sons Inc (1980)
ISBN 10: 047026991X ISBN 13: 9780470269916
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Descripción John Wiley & Sons Inc, 1980. Hardcover. Estado de conservación: Used: Good. Nº de ref. de la librería SONG047026991X

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