Circular Statistics in R

3,2 valoración promedio
( 5 valoraciones por Goodreads )
 
9780199671137: Circular Statistics in R
Críticas:

It's amazing how often I'm asked for advice about circular statistics. Even simple questions such as 'what's the mean direction?' or 'are species active at different times of day?' require circular statistics and they are rarely catered for in statistical texts. What Pewsey et al. have produced is a long-awaited guide to both the theory and practice of circular statistics with a focus on R. It's a book I'll be consulting frequently and recommending to students and colleagues alike ( Calvin Dytham, University of York)

Reseña del editor:

Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system.

This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data.

The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its <"circular>" package. Also provided are over 150 new functions for techniques not already covered within R.

This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible.

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

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Associate Professor of Statistics Arthur Pewsey, Professor of Statistics Markus Neuhauser, Reader in Behavioural and Physiological Ecology Graeme D Ruxton
Editorial: Oxford University Press, United Kingdom (2014)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Paperback Cantidad: 10
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Oxford University Press, United Kingdom, 2014. Paperback. Estado de conservación: New. 232 x 156 mm. Language: English . Brand New Book. Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its circular package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible. Nº de ref. de la librería AOP9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 26,24
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Arthur Pewsey , Arthur Pewsey ; Markus Neuhauser , Markus Neuhauser ; Graeme D Ruxton, Graeme D Ruxton
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Cantidad: 5
Librería
GreatBookPrices
(Columbia, MD, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Nº de ref. de la librería 19814891-n

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 24,59
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 2,36
A Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Arthur Pewsey, Markus Neuhäuser, Graeme D. Ruxton
Editorial: Oxford University Press, United Kingdom (2014)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Paperback Cantidad: 10
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Oxford University Press, United Kingdom, 2014. Paperback. Estado de conservación: New. 232 x 156 mm. Language: English . Brand New Book. Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its circular package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible. Nº de ref. de la librería AOP9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,00
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Arthur Pewsey; Markus Neuhäuser; Graeme D Ruxton
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Cantidad: > 20
Librería
BWB
(Valley Stream, NY, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97801996711370000000

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,37
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Arthur Pewsey, Neuh, Markus #228;user, Graeme D Ruxton
Editorial: OUP Oxford 2013-09-26, Oxford (2013)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos paperback Cantidad: 5
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción OUP Oxford 2013-09-26, Oxford, 2013. paperback. Estado de conservación: New. Nº de ref. de la librería 9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 26,59
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 5,16
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Arthur Pewsey, Markus Neuhauser, Graeme D. Ruxton
Editorial: Oxford University Press
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Paperback Cantidad: 1
Librería
THE SAINT BOOKSTORE
(Southport, Reino Unido)
Valoración
[?]

Descripción Oxford University Press. Paperback. Estado de conservación: new. BRAND NEW, Circular Statistics in R, Arthur Pewsey, Markus Neuhauser, Graeme D. Ruxton, Circular Statistics in R provides the most comprehensive guide to the analysis of circular data in over a decade. Circular data arise in many scientific contexts whether it be angular directions such as: observed compass directions of departure of radio-collared migratory birds from a release point; bond angles measured in different molecules; wind directions at different times of year at a wind farm; direction of stress-fractures in concrete bridge supports; longitudes of earthquake epicentres or seasonal and daily activity patterns, for example: data on the times of day at which animals are caught in a camera trap, or in 911 calls in New York, or in internet traffic; variation throughout the year in measles incidence, global energy requirements, TV viewing figures or injuries to athletes. The natural way of representing such data graphically is as points located around the circumference of a circle, hence their name. Importantly, circular variables are periodic in nature and the origin, or zero point, such as the beginning of a new year, is defined arbitrarily rather than necessarily emerging naturally from the system. This book will be of value both to those new to circular data analysis as well as those more familiar with the field. For beginners, the authors start by considering the fundamental graphical and numerical summaries used to represent circular data before introducing distributions that might be used to model them. They go on to discuss basic forms of inference such as point and interval estimation, as well as formal significance tests for hypotheses that will often be of scientific interest. When discussing model fitting, the authors advocate reduced reliance on the classical von Mises distribution; showcasing distributions that are capable of modelling features such as asymmetry and varying levels of kurtosis that are often exhibited by circular data. The use of likelihood-based and computer-intensive approaches to inference and modelling are stressed throughout the book. The R programming language is used to implement the methodology, particularly its "circular" package. Also provided are over 150 new functions for techniques not already covered within R. This concise but authoritative guide is accessible to the diverse range of scientists who have circular data to analyse and want to do so as easily and as effectively as possible. Nº de ref. de la librería B9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 25,76
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,81
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Pewsey, Arthur
Editorial: OUP Oxford (2013)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Cantidad: > 20
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción OUP Oxford, 2013. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FU-9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 22,55
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,32
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Pewsey, Arthur, Neuhauser, Markus, Ruxton, Graeme D
Editorial: Oxford University Press, USA (2014)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Tapa blanda Primera edición Cantidad: 1
Librería
Valoración
[?]

Descripción Oxford University Press, USA, 2014. Estado de conservación: New. 2014. 1st Edition. Paperback. Measurements like mass, length and speed are "; but compass direction or the time of the year are "circular". Circular data have a repeating nature and an arbitrary zero: 12 months after the 1st of July it is the 1st of July again. This book explains how to easily and effectively analyse circular data statistically. Num Pages: 208 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 158 x 12. Weight in Grams: 328. . . . . . . Nº de ref. de la librería V9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 33,72
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Irlanda a Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Arthur Pewsey
Editorial: Oxford University Press, Usa (2014)
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Tapa blanda Cantidad: 1
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Oxford University Press, Usa, 2014. Estado de conservación: New. book. Nº de ref. de la librería ria9780199671137_rkm

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 31,01
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,44
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Pewsey, Arthur, Neuhauser, Markus, Ruxton, Graeme D
Editorial: Oxford University Press, USA
ISBN 10: 0199671133 ISBN 13: 9780199671137
Nuevos Tapa blanda Cantidad: 1
Librería
Kennys Bookstore
(Olney, MD, Estados Unidos de America)
Valoración
[?]

Descripción Oxford University Press, USA. Estado de conservación: New. 2014. 1st Edition. Paperback. Measurements like mass, length and speed are "; but compass direction or the time of the year are "circular". Circular data have a repeating nature and an arbitrary zero: 12 months after the 1st of July it is the 1st of July again. This book explains how to easily and effectively analyse circular data statistically. Num Pages: 208 pages, illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 230 x 158 x 12. Weight in Grams: 328. . . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780199671137

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 35,78
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda