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.
Contents:
- 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
Readership: Researchers and practitioners dealing with circular data.
