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循环统计方法观点，卷五TOPICS IN CIRCULAR STATISTICS-VOL 5

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版次：
页数：322
字数：
印刷时间：
开本：
纸张：胶版纸
包装：精装
是否套装：否
国际标准书号ISBN：9789810237783

作者:本社编出版社:东南大学出版社出版时间:2001年12月

内容简介

This research monograph on circular data analysis covers some recent advances in the field, besides providing a brief introduction to, and a eview 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.

目　　录

1 Introduction
1.1 Introduction
1.2 Applications and Background
1.2.1 Some Examples
1.2.2 The Need for Appropriate Analysis
1.3 Descriptive Statistics
1.3.1 Measure of Center
1.3.2 Circular Distance and Measure of Dispersion
1.3.3 Higher Moments
2 Circular Probability Distributions
2.1 Introduction
2.1.1 Some Methods of Obtaining Circular Distributions
2.2 Circular Distributions
2.2.1 Uniform Distribution

1 Introduction 1.1 Introduction 1.2 Applications and Background 1.2.1 Some Examples 1.2.2 The Need for Appropriate Analysis 1.3 Descriptive Statistics 1.3.1 Measure of Center 1.3.2 Circular Distance and Measure of Dispersion 1.3.3 Higher Moments 2 Circular Probability Distributions 2.1 Introduction 2.1.1 Some Methods of Obtaining Circular Distributions 2.2 Circular Distributions 2.2.1 Uniform Distribution 2.2.2 Cardioid Distribution 2.2.3 A Triangular Distribution 2.2.4 Circular Normal (CN) Distribution 2.2.5 Offset Normal Distribution 2.2.6 Wrapped Normal (WN) Distribution 2.2.7 Wrapped Cauchy (WC) Distribution 2.2.8 General Wrapped Stable (WS) Distributions 2.2.9 Variations of the CN Distribution 2.2.10 A Circular Beta Model 2.2.11 Asymmetric Circular Distributions 2.3 Bivariate Circular Distributions 2.3.1 A Bivariate von Mises Distribution 2.3.2 Wrapped Bivariate Normal Distribution 2.3.3 Circular-Linear Distribution 2.4 Generation of Circular Random Variables 2.5 Appendix: Curved Exponential Families and CND 3 Some Sampling Distributions 3.1 Introduction 3.2 Generalized Pearson's Random Walk Problem 3.2.1 The General Case 3.3 Sampling Distributions for CN Distribution 3.3.1 Distribution of (C,S) 3.3.2 Distribution of R 3.3.3 Distribution of V 3.4 Some Large Sample Results 3.4.1 Series Approximations for R and V 3.4.2 Central Limit Type Results 3.4.3 Large Sample Results for Statistics Based on Moments 3.4.4 First Significant Digit Phenomenon 3.5 Two or More Samples 3.6 Approximate Distributions for Large n 4 Estimation of Parameters 4.1 Introduction 4.2 CN Distribution 4.2.1 Estimating the Parameters of a CN Distribution 4.2.2 Optimal Properties of the MLEs 4.3 CN Mixtures 4.4 ML Estimation for the WC Distribution 4.5 Circular Beta Distribution 4.6 WS Family 4.7 Confidence Intervals 4.8 Appendix: Proofs 5 Tests for Mean Direction and Concentration 5.1 Introduction 5.2 Single Population 5.2.1 Tests for Mean Direction 5.2.2 Higher-Order Power Comparison 5.2.3 Tests for the Concentration Parameter …… 6 Tests for Uniformity 7 Nonparameric Testing Procedures 8 Circular Correlation and Regression 9 Prdictive Inference for Directional Data 10 Outliers and Related Problems 11 Change-point Problems 12 Miscellenaeous Topics A Some Facts on Bessel Functions B How to Use the Circstats Package Bibliography Author Index Subject Index Notations and Abbreviation Index

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