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Circular Statistics in R de Arthur Pewsey,Markus Neuhauser,Graeme D Ruxton

Descripción - 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. Biografía del autor Arthur Pewsey is Professor of Statistics at the University of Extremadura, Spain. He has devoted much of the last fifteen years of his life to research in the field of circular statistics. Arthur is Associate Editor of Communications in Statistics: Theory and Methods and Communications in Statistics: Simulation and Computation Markus Neuhäuser is Professor of Statistics at the RheinAhrCampus Remagen, Germany. He is an expert in computer-intensive statistical methods. Markus is Associate Editor of Journal of Statistical Computation and Simulation , Communications in Statistics: Theory and Methods and Communications in Statistics: Simulation and Computation Graeme D Ruxton is Professor of Ecology at the University of St Andrews. He is a biologist with particular interest in making modern statistical techniques accessible to broad user groups.

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Google libros haz búsquedas en el mayor catálogo de libros completos del mundo mi colección editores información privacidad términos ayuda información privacidad términos ayuda Circular package r documentation circular statistics, from topics in circular statistics 2001 s rao jammalamadaka and a sengupta, world scientific Circular statistics in r 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, both from angular obsevations, and from daily or seasonal activity patterns text files with r code these eight text files contain the commands used in the separate chapters of the book

Detalles del Libro

• Name: Circular Statistics in R
  
• Autor: Arthur Pewsey,Markus Neuhauser,Graeme D Ruxton
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  
• Tamaño del archivo: 11 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

Descargar Circular Statistics in R de Arthur Pewsey,Markus Neuhauser,Graeme D Ruxton Ebooks, PDF, ePub

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Topics in circular statistics ebook, 2001 worldcat get this from a library topics in circular statistics s rao jammalamadaka ashis sengupta this research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a review of, existing methods and models the primary focus Descarga libro tratamiento de datos con r statistica y acerca de tratamiento de datos con r statistica y spss de varios el principal objetivo de este libro es servir de ayuda a los investigadores, cualquiera que sea su ámbito de conocimiento, que necesitan utilizar técnicas estadísticas para tratar y analizar sus datos Introduccion a la programaci on estad istica con r para posee r, adem as de ser el que en los ulti mos anos ha tenido una mayor implantaci on en la comunidad cient ca 2 introducci on al lenguaje r 3 entre otras caracter sticas dispone de almacenamiento y manipulaci on de datos operadores para c alculo sobre variables indexadas arrays, en particular matrices

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