£46.00

Oxford University Press Circular Statistics in R

Name: Circular Statistics in R
Brand: Oxford University Press
Price: 46.0 GBP
Availability: InStock

Biological Science

Price History & Forecast

Last 72 days • 72 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 72 days • 1 price levels

Days at Price

Price Analysis

Most common price: £46 (72 days, 100.0%)

Price range: £46 - £46

Price levels: 1 different prices over 72 days

Description

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.

Product Specifications

Brand: Oxford University Press
Format: paperback
ASIN: 0199671133
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Biological Science
Domain: Amazon UK
Release Date: 01 January 2014
Listed Since: 16 May 2013

Barcode

No barcode data available

Oxford University Press Circular Statistics in R

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Statistical Analysis of Circular Data

Computational Statistics: An Introduction to R

R Programming: Statistical Data Analysis in Research

Statistics and Data with R: An Applied Approach Through Examples

R for Statistics

Understanding Regression Analysis: A Conditional Distribution Approach

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Spatio-Temporal Statistics with R (Chapman & Hall/CRC The R Series)

Understanding Regression Analysis: A Conditional Distribution Approach

Data Analysis for Social Science: A Friendly and Practical Introduction

Topics In Circular Statistics: 5 (Series On Multivariate Analysis)

Fundamentals of Causal Inference: With R (Chapman & Hall/CRC Texts in Statistical Science)

The Oxford Handbook of Functional Data Analysis

Functional Data Analysis with R (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Introduction to Probability, Statistics & R: Foundations for Data-Based Sciences

R for Political Data Science: A Practical Guide (Chapman & Hall/CRC The R Series)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

THE NEW STATISTICS WITH R: An Introduction for Biologists

Nonlinear Time Series Analysis with R

Permutation Statistical Methods with R

Statistical Analysis of Financial Data: With Examples In R (Chapman & Hall/CRC Texts in Statistical Science)

Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Probability, Statistics, and Data: A Fresh Approach Using R (Chapman & Hall/CRC Texts in Statistical Science)

CRC Press R for Political Data Science: A Practical Guide