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Advances in Directional and Linear Statistics

A Festschrift for Sreenivasa Rao Jammalamadaka

Specificaties
Gebonden, 321 blz. | Engels
Physica-Verlag HD | 2011e druk, 2010
ISBN13: 9783790826272
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Physica-Verlag HD 2011e druk, 2010 9783790826272
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Samenvatting

The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various countries, and covers a variety of research topics which he enjoys and contributed immensely to.

Specificaties

ISBN13:9783790826272
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:321
Uitgever:Physica-Verlag HD
Druk:2011

Inhoudsopgave

Models for Axial Data.- Asymptotic Behavior of the Universally Consistent Conditional U-Statistics for Nonstationary and Absolutely Regular Processes.- Regression Models with STARMA Errors − An Application to the Study of Temperature Variations in the Antarctic Peninsula.- The Generalized von Mises-Fisher Distribution.- A New Nonparametric Test of Symmetry.- A Semiparametric Bayesian Method of Clustering Genes Using Time-Series of Expression Profiles.- On Implementation of the Markov Chain Monte Carlo Stochastic Approximation Algorithm.- Stochastic Comparisons of Spacings from Heterogeneous Samples.- The Distributions of the Peak to Average and Peak to Sum Ratios under Exponentiality.- Least Square Estimation for Regression Parameters under Lost Association.- On Tests of Fit Based on Grouped Data.- Innovation Processes in Logically Constrained Time Series.- Laws of Large Numbers and Nearest Neighbor Distances.- Nonparametric and Probabilistic Classification using NN-balls with Environmental and Remote Sensing Applications.- Probabilistic Recurrence Relations.- On Some Inequalities of Chernoff-Borovkov-Utev Type for Circular Distributions.- Revisiting Local Asymptotic Normality (LAN) and Passing on to Local Asymptotic Mixed Normality (LAMN) and Local Asymptotic Quadratic (LAQ) Experiments.- Long Range Dependence in Third Order for Non-Gaussian Time Series.- Graphical Models for Clustered Binary and Continuous Responses.

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        Advances in Directional and Linear Statistics