Statistics of Directional Data

PrefaceIntroductionChapter 1—Angular Data and Frequency Distributions 1. Introduction 2. Diagrammatical Representation 3. Interrelations Between Different Units of Angular Measurement 4. Forms of Frequency Distributions 5. Further Examples of Angular DataChapter 2—Descriptive Measures 1. Introduction 2. A Measure of Location 3. The Circular Variance 4. Calculation of the Mean Direction and the Circular Variance 5. Some Other Measures of Location 6. Some other Measures of Dispersion 7. Trigonometric Moments 8. Corrections for GroupingChapter 3—Basic Concepts and Theoretical Models 1. The Distribution Function 2. The Characteristic Function 3. Moments and Measures of Location and Dispersion 4. Circular Models 5. Angular Distributions on the Range (0, 2π/l) 6. Mixtures and Multi-Modal Distributions 7. Circular Standard Deviation, Skewness and Kurtosis 8. Corrections for GroupingChapter 4—Fundamental Theorems and Distribution Theory 1. Introduction 2. Theorems on the Characteristic Function 3. Limit Theorems 4. The Isotropic Random Walk on the Circle 5. Distributions of C, S and R for a von Mises Population 6. Distributions Related to the Multi-Sample Problem for von Mises Populations 7. Moments of R 8. The Moments of C and S 9. Limiting Distributions of Angular StatisticsChapter 5—Point Estimation 1. A Cramér-Rao Type Bound 2. The Method of Moments 3. Sufficiency 4. The von Mises Distribution 5. A Regression Model 6. Mixtures of von Mises DistributionsChapter 6—Tests for Samples from von Mises Populations 1. Introduction 2. Single Sample Tests 3. Two-Sample Tests 4. Multi-Sample Tests 5. A Regression Model 6. Tests for Multi-Modal and Axial DataChapter 7—Non-Parametric Tests 1. Introduction and Basic Results 2. Tests of Goodness of Fit and Tests of Uniformity 3. Tests of Symmetry 4. Two-Sample Tests 5. Multi-Sample Tests 6. Tests for Multimodal and Axial DataChapter 8—Distributions on Spheres 1. Spherical Data 2. Other Spherical Co-Ordinate Systems 3. Azimuthal Projections 4. Descriptive Measures 5. Models 6. Distribution Theory 7. Moments and Limiting Distributions 8. A Distribution on a HypersphereChapter 9—Inference Problems on the Sphere 1. Introduction 2. Point Estimation 3. Single Sample Tests 4. Two-Sample Tests 5. Multi-Sample Tests 6. A Test for Coplanarity 7. Tests for Axial Data 8. A Review of Some Other Tests and TopicsAppendix 1—Bessel FunctionsAppendix 2—Tables and Charts for the Circular Case (Abridged Titles) 1. The von Mises Distribution Function 2. The Population Resultant Length for the von Mises Case 3. Maximum Likelihood Estimates for The von Mises Case 4. A Test of Uniformity When the Mean Direction is Known 5. Critical Values for the Rayleigh Test (Circular Case) 6. Percentage Points of the von Mises Distribution 7. Confidence Interval for the Mean Direction 8. Confidence Interval for the Concentration Parameter 9. Critical Values for Watson-Williams' Two-Sample Test 10. Critical Values for Kuiper's Test 11. Critical Values for Hodges-Ajne's Test 12. Critical Values of the Circular Range 13. Critical Values for the Equal Spacings Test 14. Critical Values for the Uniform Scores Test 15. Critical Values for Watson's Two-Sample Tests 16. Critical Values for the Run Test 17. Critical Values for the Multi-Sample Uniform Scores Test 18. Critical Values for the Bimodal Scores TestAppendix 3—Tables and Charts for the Spherical Case (Abridged Titles) 1. Percentage Points of the Fisher Distribution 2. Maximum Likelihood Estimates for the Fisher Case 3. Maximum Likelihood Estimates for the Girdle Case 4. Maximum Likelihood Estimates for the Bipolar Case 5. Critical Values for the Rayleigh Test (Spherical Case) 6. Critical Values for Testing a Prescribed Direction 7. Critical Values for Testing a Prescribed Concentration Parameter 8. Critical Values for Watson-Williams' Two-Sample TestBibliography and Author IndexSubject IndexIndex of Notation