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Titulos:
Spectral analysis of time-series data / Rebecca M. Warner.
Idiomas:
eng
ISBN:
1572303387 (hardcover)
Lugar de Edición:
New York ;
Editor:
The Guilford Press,
Fecha de Edición:
1998.
Notas Formateada:
1. Research questions for time-series and spectral analysis studies - 2. Issues in time-series research design, data collection, and data entry: getting started - 3. Preliminary examination of time-series data - 4. Harmonic analysis - 5. Periodogram analysis - 7. Summary of issues for univariate time-series data - 8. Assessing relationships between two time series - 9. Cross-spectral analysis - 10. Applications of bivariate Time-Series and cross-spectral analyses - 11. Pitfalls for the unwary: examples of common sources of artifact - 12. Theoretical issues - Appendixes: A. Raw time-series data ; B. Critical values for the fisher Test of significance for periodogram analysis.
Nota de contenido:
"This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact". -Bakcover
Palabras clave:
Link:
El registro bibliográfico incluye un link a una web externa el cual puede apuntar al índice de la publicación o en caso de estar en acceso abierto, al texto completo del material

Leader:
nam#
Campo 008:
120919s1998####enk####f######000#0#eng#d
Campo 020:
##^a1572303387 (hardcover)
Campo 041:
0#^aeng
Campo 100:
1#^aWarner, Rebecca M.,^cPhD^gis Professor of Psychology at the University of New Hampshire.
Campo 245:
10^aSpectral analysis of time-series data /^cRebecca M. Warner.
Campo 246:
Campo 260:
##^aNew York ;^aLondon :^bThe Guilford Press,^c1998.
Campo 300:
##^axiv, 225 p. :^bgráf., tab. ;^c23 cm.
Campo 440:
#0^aMethodology in the social sciences / David A. Kenny
Campo 505:
0#^a1. Research questions for time-series and spectral analysis studies - 2. Issues in time-series research design, data collection, and data entry: getting started - 3. Preliminary examination of time-series data - 4. Harmonic analysis - 5. Periodogram analysis - 7. Summary of issues for univariate time-series data - 8. Assessing relationships between two time series - 9. Cross-spectral analysis - 10. Applications of bivariate Time-Series and cross-spectral analyses - 11. Pitfalls for the unwary: examples of common sources of artifact - 12. Theoretical issues - Appendixes: A. Raw time-series data ; B. Critical values for the fisher Test of significance for periodogram analysis.
Campo 520:
##^a"This book provides a thorough introduction to methods for detecting and describing cyclic patterns in time-series data. It is written both for researchers and students new to the area and for those who have already collected time-series data but wish to learn new ways of understanding and presenting them. Facilitating the interpretation of observations of behavior, physiology, mood, perceptual threshold, social indicator variables, and other responses, the book focuses on practical applications and requires much less mathematical background than most comparable texts. Using real data sets and currently available software (SPSS for Windows), the author employs extensive examples to clarify key concepts. Topics covered include research design issues, preliminary data screening, identification and description of cycles, summary of results across time series, and assessment of relations between time series. Also considered are theoretical questions, problems of interpretation, and potential sources of artifact". -Bakcover
Campo 653:
##^aAnálisis de series temporales
Campo 856:
40^uhttp://www.guilford.com
Proveniencia:
##^aUniversidad Nacional de San Luis - Sistema de Bibliotecas
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Institucion:
Universidad Nacional de San Luis
Dependencia:
Sistema de Bibliotecas - Colección MARC21

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