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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

This book presents recent non-asymptotic results for approximations in multivariate statistical analysis. The book is unique in its focus;

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Mathematical Statistics

the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision;

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Bilinear Regression Analysis

is utilized. It can also be used as a text for second graduate-level courses on multivariate analysis.;

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Modern Directional Statistics

Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.;

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Modern Directional Statistics

Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.;

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Methods for Estimation and Inference in Modern Econometrics

unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models Non-conventional;

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Methods for Estimation and Inference in Modern Econometrics

unconditional and conditional moment restriction models, and asymptotic theory for correctly specified and misspecified models Non-conventional;

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Applied Multivariate Analysis

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis;

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Asymptotic Analysis of Mixed Effects Models

be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.;

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Asymptotic Analysis of Mixed Effects Models

be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.;

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Introductory Multivariate Statistics for the Environmental Science

A complete introduction to multivariate statistics for environmental science Introductory Multivariate Statistics for the Environmental;

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A Primer of Multivariate Statistics

as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the;

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A Primer of Multivariate Statistics

as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the;

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Applied Multivariate Stat Analysis PNIE

For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level;

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Saddlepoint Approximations with Applications

level. Chapters 7-9 then give a highly readable account of higher-order asymptotic inference. Later chapters address areas where saddlepoint;

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Multivariate Statistics

applications and research material. Emphasizing that high-dimensional asymptotic distribution can be used for a large range of samples and dimensions;

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An Introduction to Applied Multivariate Analysis

data analysis and longitudinal data modeling. Ideal for graduate and advanced undergraduate students in the behavioral, social, and educational;

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Approximation Theory and Algorithms for Data Analysis

algorithms for data analysis plays an important role. The following topics are covered: * least-squares approximation and regularization methods;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Multivariate Survival Analysis and Competing Risks

inference, and non- and semi-parametric methods. There are many books covering survival analysis, but very few that cover the multivariate case;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for;

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Applied Statistics and Multivariate Data Analysis for Business and Economics

and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for;

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Methods of Multivariate Statistics

Get up-to-speed on the latest methods of multivariate statistics Multivariate statistical methods provide a powerful tool for analyzing;

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Tensor Methods in Statistics

is discussed and suitable tables of complementary set partitions are provided. Subsequent chapters deal with asymptotic approximations based on;

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Practical Multivariate Analysis

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with;

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Multivariate Statistical Inference And Applications

is a user-friendly introduction to basic multivariate analysis theory and practice for statistics majors as well as nonmajors with little or no;

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Multiple-Scale Analysis of Boundary-Value Problems in Thick Multi-Level Junctions of Type 3:2

This book presents asymptotic methods for boundary-value problems (linear and semilinear, elliptic and parabolic) in so-called thick multi;

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