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 DistributionsSome Sampling DistributionsEstimation of ParametersTests for Mean Direction and ConcentrationTests for UniformityNonparametric Testing ProceduresCircular Correlation and RegressionPredictive Inference for Directional DataOutliers and Related ProblemsChange-Point ProblemsMiscellaneous TopicsSome Facts on Bessel FunctionsHow to Use the CircStats Package Readership: Researchers and practitioners dealing with circular data. Keywords:Directional Statistics;Circular Data;CircStat Programs;Von Mises Density;Circular Normal Distribution;Wrapped Stable Family;Spacings Tests;Circular Correlation and Regression;Two-Dimensional Directions;Circadian Rhythms;Cosinor Analysis;Tests of Isotropy or Uniformity