Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
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Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days. 488.
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Añadir al carritoPaperback. Condición: Brand New. 288 pages. 6.30x0.79x9.25 inches. In Stock.
Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
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Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
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Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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Añadir al carritoPaperback. Condición: Brand New. 2nd edition. 288 pages. 9.25x6.29x0.78 inches. In Stock.
Publicado por Oxford University Press, Oxford, 2024
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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Añadir al carritoPaperback. Condición: new. Paperback. Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computational tools. Methodology that was originally developed for specialized applications, for example in finance or geophysics, is now widely available within general statistical packages.The second edition of Time Series: A Biostatistical Introduction is an introductory account of time series analysis, written from the perspective of applied statisticians whose interests lie primarily in the biomedical and health sciences. This edition has a stronger focus on substantive applications, in which each statistical analysis is directed at a specific research question. Separate chapters cover simple descriptive methods of analysis, including time-plots, smoothing, the correlogram and the periodogram; theory of stationary random processes; discrete-time models for single series; continuous-time models for single series; generalized linear models for time series of counts; models for replicated series; spectral analysis, and bivariate time series.The book is unique in its focus on biomedical and health science applications, which has been strengthened in this second edition. Nevertheless, the methods described are more widely applicable. It should be useful to teachers and students on masters-level degree courses in statistics, biostatistics and epidemiology, and to biomedical and health scientists with a knowledge of statistical methods at undergraduate level. Throughout, examples based on real datasets show a close interplay between statistical method and substantive science. This book will also describe the implementation of the methods in the R computing environment and provide access to R code and datasets. A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and health and sciences. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Publicado por Oxford University Press, 2025
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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Publicado por Oxford University Press, Oxford, 2024
ISBN 10: 019871484X ISBN 13: 9780198714842
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Añadir al carritoPaperback. Condición: new. Paperback. Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computational tools. Methodology that was originally developed for specialized applications, for example in finance or geophysics, is now widely available within general statistical packages.The second edition of Time Series: A Biostatistical Introduction is an introductory account of time series analysis, written from the perspective of applied statisticians whose interests lie primarily in the biomedical and health sciences. This edition has a stronger focus on substantive applications, in which each statistical analysis is directed at a specific research question. Separate chapters cover simple descriptive methods of analysis, including time-plots, smoothing, the correlogram and the periodogram; theory of stationary random processes; discrete-time models for single series; continuous-time models for single series; generalized linear models for time series of counts; models for replicated series; spectral analysis, and bivariate time series.The book is unique in its focus on biomedical and health science applications, which has been strengthened in this second edition. Nevertheless, the methods described are more widely applicable. It should be useful to teachers and students on masters-level degree courses in statistics, biostatistics and epidemiology, and to biomedical and health scientists with a knowledge of statistical methods at undergraduate level. Throughout, examples based on real datasets show a close interplay between statistical method and substantive science. This book will also describe the implementation of the methods in the R computing environment and provide access to R code and datasets. A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and health and sciences. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Oxford University Press, Oxford, 2024
ISBN 10: 019871484X ISBN 13: 9780198714842
Idioma: Inglés
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EUR 62,55
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Añadir al carritoPaperback. Condición: new. Paperback. Time series analysis is one of several branches of statistics whose practical importance has increased with the availability of powerful computational tools. Methodology that was originally developed for specialized applications, for example in finance or geophysics, is now widely available within general statistical packages.The second edition of Time Series: A Biostatistical Introduction is an introductory account of time series analysis, written from the perspective of applied statisticians whose interests lie primarily in the biomedical and health sciences. This edition has a stronger focus on substantive applications, in which each statistical analysis is directed at a specific research question. Separate chapters cover simple descriptive methods of analysis, including time-plots, smoothing, the correlogram and the periodogram; theory of stationary random processes; discrete-time models for single series; continuous-time models for single series; generalized linear models for time series of counts; models for replicated series; spectral analysis, and bivariate time series.The book is unique in its focus on biomedical and health science applications, which has been strengthened in this second edition. Nevertheless, the methods described are more widely applicable. It should be useful to teachers and students on masters-level degree courses in statistics, biostatistics and epidemiology, and to biomedical and health scientists with a knowledge of statistical methods at undergraduate level. Throughout, examples based on real datasets show a close interplay between statistical method and substantive science. This book will also describe the implementation of the methods in the R computing environment and provide access to R code and datasets. A time series is a sequence of measurements on a process whose future behaviour cannot be predicted exactly from past and current observations. This book focuses on applications in the biomedical and health and sciences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoHardcover. Condición: Brand New. 288 pages. 6.30x0.79x9.45 inches. In Stock.
Publicado por Oxford University Press, 2025
ISBN 10: 0198714831 ISBN 13: 9780198714835
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 610.
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Añadir al carritoHardcover. Condición: Brand New. 2nd edition. 288 pages. 9.44x6.29x0.78 inches. In Stock.