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 is on recent research into topics such as change-point problems, predictive distributions, circular correlation and regression, etc. An important feature of this work is the S-plus subroutines provided for analyzing actual data sets. Coupled with the discussion of new theoretical research, the book should benefit both the researcher and the practitioner.
Circular Probability Distributions.
Some Sampling Distributions.
Estimation of Parameters.
Tests for Mean Direction and Concentration.
Tests for Uniformity.
Nonparametric Testing Procedures.
Circular Correlation and Regression.
Predictive Inference for Directional Data.
Outliers and Related Problems.
Change-Point Problems.
Miscellaneous Topics.
Some Facts on Bessel Functions.
How to Use the CircStats Package.