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Advances in Directional and Linear Statistics: A Festschrift for Sreenivasa Rao Jammalamadaka
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Catalogue Information
Field name
Details
Dewey Class
519.5
Title
Advances in Directional and Linear Statistics ([Ebook]) : A Festschrift for Sreenivasa Rao Jammalamadaka / edited by Martin T. Wells, Ashis SenGupta.
Author
Wells, Martin T.
Added Personal Name
SenGupta, Ashis
Other name(s)
SpringerLink (Online service)
Publication
Heidelberg : Physica-Verlag HD , 2011.
Physical Details
XX, 331 pages : 38 illus. : online resource.
ISBN
9783790826289
Summary Note
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.:
Contents note
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.
System details note
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
http://dx.doi.org/10.1007/978-3-7908-2628-9
Links to Related Works
Subject References:
Mathematical Statistics
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Statistical Theory and Methods
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Statistics
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Authors:
editor
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SenGupta, Ashis
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Wells, Martin T.
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SpringerLink (Online service)
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Classification:
519.5
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519.5 (DDC 23)
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