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Advances in Directional and Linear Statistics

The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various;

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Advances in Directional and Linear Statistics

The present volume consists of papers written by students, colleagues and collaborators of Sreenivasa Rao Jammalamadaka from various;

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Applied Directional Statistics

This book collects important advances in methodology and data analysis for directional statistics. It is the companion book of the more;

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Modern Directional Statistics

Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades;

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Modern Directional Statistics

Modern Directional Statistics collects important advances in methodology and theory for directional statistics over the last two decades;

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Statistical Paradigms

disciplines. For advances in theory, the topics include: Bayesian Inference, Directional Data Analysis, Distribution Theory, Econometrics and Multiple;

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Directional Statistics

Presents new and up--dated material on both the underlying theory and the practical methodology of directional statistics, helping the;

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Recent Advances in Linear Models and Related Areas

linear model and its related topics. Helge Toutenburg is an established statistician and currently a Professor in the Department of Statistics at;

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Advances in Inequalities of the Schwarz, Triangle & Heisenberg Type in Inner Product Space

applications in various topics of Contemporary Mathematics such as: Linear Operators Theory, Partial Differential Equations, Non-linear Analysis;

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SAS System for Linear Models, 4e + Linear Models in Statistics, 2e Set

This set contains: 9780471221746 SAS for Linear Models, Fourth Edition by Ramon Littell, Walter W. Stroup, Rudolf Freund and 9780471754985;

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Linear Models in Statistics

models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to;

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Statistics with Applications in Biology and Geology

, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and;

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Statistics with Applications in Biology and Geology

, two samples, one- and two-way analysis of variance, and linear regression for normal data and similar models for binomial, multinomial, and;

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Efficient Predictive Algorithms for Image Compression

compression of depth maps, which combines intra-directional prediction, with flexible block partitioning and linear residue fitting. New approaches;

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Bayesian Analysis of Linear Models

source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint;

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Bayesian Analysis of Linear Models

source on the latest advances in thisfield has arisen.Presenting the basic theory of a large variety of linear models from a Bayesian viewpoint;

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Recent Advances In Statistical Methods, Proceedings Of Statistics 2001 Canada

, Linear and Nonlinear Models, Networks and Queues, Survival Analysis, Time Series, and many more.;

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Tensor Methods in Statistics

reference for graduate students and professional statisticians. Prerequisites include some knowledge of linear algebra, eigenvalue decompositions;

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Generalized Linear Mixed Models

Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the;

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Order Statistics: Applications

; goodness-of-fit tests; and applications. Theoretical advances have been made in this area of research, and order statistics has also found;

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Learn R for Applied Statistics

statistics, and inferential statistics such as t-test, chi-square test, ANOVA, non-parametric test, and linear regressions. Learn R for Applied;

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Linear Algebra and Linear Models

Linear Algebra and Linear Models comprises a concise and rigorous introduction to linear algebra required for statistics followed by the;

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Matrix Algebra for Linear Models

for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models. The book;

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Wireless Network Performance Enhancement via Directional Antennas

Directional antenna technologies have made significant advancements in the last decade. These advances have opened the door to many;

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Wireless Network Performance Enhancement via Directional Antennas

Directional antenna technologies have made significant advancements in the last decade. These advances have opened the door to many;

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Statistics for Linguists

uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive;

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Statistics for Linguists

uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive;

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