Product details

Materials available

Main Authors(s): Michael GreenacreOther author(s): Translator: Jordi Comas

Date of publication: July-2008Collection: BBVA Foundation Manuals

ISBN-10: 84-96515-71-0ISBN-13: 978-84-96515-71-0

Publisher: Fundación BBVAType of publication: Book

Areas: Economy and SocietySub-areas: Innovation and the Knowledge Society

RRP (inc. VAT): 32.00€ [Order]

La práctica del análisis de correspondencias

Print

ORDER

How to order publications

This book is a result of the author’s more than thirty years of experience in science and environmentalresearch. Correspondence analysis is a statistical method for visualizing and interpreting large data sets,and has found applications in almost every branch of scientific research: for example, analysingquestionnaire data in sociology, looking for patterns in microarray data in genetic research, discoveringrelationships between biological and environmental variables, and understanding customers' perceptionsof products relative to competing brands in marketing.

The book has a didactic format which is easy to read, with technical aspects presented in an Appendix.Thirteen different data sets are analysed so that readers have plenty of practical examples to follow. Thebook is also highly orientated to modern computation, and explains how to apply correspondence analysisusing state-of-the-art software that can be downloaded for free (Access to supporting website of theEnglish version).

The book is aimed at a wide spectrum of researchers: for example, sociologists, environmental scientists,biomedical researchers, marketing professionals, psychologists, researchers in education and linguists.Anyone collecting large data sets and struggling to get a global and synthetic view of their information willfind this book particularly useful.

PRODUCT DETAILS

Edition no.: FirstLanguage: Spanish

Format: 17 x 23,5 cmPages: 384

Binding: Paperback

MATERIALS AVAILABLE

(198 kb) Presentation

(30 kb) Index

(29 kb) About the author

(300 kb) Chapter 1: Diagramas de dispersión y mapas

CancelCloseCancelCloseCancelClose

(335 kb) Chapter 2: Perfiles y espacio de perfiles

(339 kb) Chapter 3: Masas y centroides

(1026 kb) Chapter 4: Distancia ji-cuadrado e inercia

(1028 kb) Chapter 5: Representación gráfica de distancias ji-cuadrado

(430 kb) Chapter 6: Reducción de la dimensionalidad

(378 kb) Chapter 7: Escalado óptimo

(635 kb) Chapter 8: Simetría entre el análisis de filas y el de columnas

(445 kb) Chapter 9: Representaciones bidimensionales

(407 kb) Chapter 10: Tres ejemplos más

(819 kb) Chapter 11: Contribuciones a la inercia

(391 kb) Chapter 12: Puntos adicionales

(1197 kb) Chapter 13: Biplots en análisis de correspondencias

(523 kb) Chapter 14: Relación de transición y regresión

(946 kb) Chapter 15: Agrupación de filas o de columnas

(375 kb) Chapter 16: Tablas de múltiples entradas

(422 kb) Chapter 17: Tablas concatenadas

(440 kb) Chapter 18: Análisis de correspondencias múltiples

(849 kb) Chapter 19: Análisis de correspondencias conjunto

(732 kb) Chapter 20: Propiedades del escalado óptimo del ACM

(662 kb) Chapter 21: Análisis de correspondencias de subgrupos

(496 kb) Chapter 22: Análisis de tablas cuadradas

(340 kb) Chapter 23: Recodificación de datos

(336 kb) Chapter 24: Análisis de correspondencias canónico

(388 kb) Chaper 25: Consideraciones sobre estabilidad e inferencia

(2843 kb) Appendix A: Teoría del análisis de correspondencias

(1213 kb) Appendix B: Cálculo del análisis de correspondencias

(88 kb) Appendix C: Bibliografía sobre análisis de correspondencias

(68 kb) Appendix D: Glosario de términos

(1171 kb) Appendix E: Epílogo