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A First Course in Asymptotic Theory of Statistics

Starting with the elementary notions of calculus, statistics and probability, the author introduces the basic results of asymptotic theory;

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Asymptotic Statistics

. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency;

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Probability With a View Towards Statistics, Volume II

of densities using Hausdorff measures, the consistency theory using the upper definition function, and the asymptotic normality of maximum estimators;

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Essential Statistical Inference

This book is for students and researchers who have had a first year graduate level mathematical statistics course. It covers classical;

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Differential Geometry and Statistics

This book explains why geometry should enter into parametric statistics and how the theory of asymptotic expansions involves a form;

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Mathematical Statistics

. The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment;

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Nonparametric Statistical Methods And Related Topics

, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory.This volume presents state-of-the;

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Asymptotic Analysis of Mixed Effects Models

extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph;

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Asymptotic Analysis of Mixed Effects Models

extensively used in practice. This monograph provides a comprehensive account of asymptotic analysis of mixed effects models. The monograph;

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Asymptotic Theory Of Quantum Statistical Inference

made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto;

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Asymptotic Theory for Econometricians

/>* Central limit theory * Asymptotically efficient instrumental variables estimation* Estimation of asymptotic covariance matrices

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First Course In Probability And Statistics, A

Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year;

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First Course In Probability And Statistics, A

Explanation of the basic concepts and methods of statistics requires a reasonably good mathematical background, at least at a first-year;

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Limit Theorems in Probability, Statistics and Number Theory

Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit;

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A Graduate Course on Statistical Inference

in statistical research. It draws from three main themes throughout: the finite-sample theory, the asymptotic theory, and Bayesian statistics. The;

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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Statistical Theory

This classic textbook is suitable for a first course in the theory of statistics for students with a background in calculus, multivariate;

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Non-Asymptotic Analysis of Approximations for Multivariate Statistics

with random sample size. Lastly, it proposes a general approach for the construction of non-asymptotic bounds, providing relevant examples for;

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Asymptotics of Elliptic and Parabolic PDEs

This is a monograph on the emerging branch of mathematical biophysics combining asymptotic analysis with numerical and stochastic methods;

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Inference and Asymptotics

focuses on first-order asymptotic theory, and discusses the need for higher-order theory.;

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Foundations of Statistics

This text provides a through, straightforward first course on basics statistics. Emphasizing the application of theory, it contains 200;

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First Course In Statistics Global Ed

& Sincich's A First Course in Statistics gives you the best of both worlds. This text offers a trusted, comprehensive introduction to statistics that;

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Asymptotic Statistics

This textbook is devoted to the general asymptotic theory of statistical experiments. Local asymptotics for statistical models in the sense;

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A First Course in Probability, Global Edition

the sciences. Explores both the mathematics and the many potential applications of probability theory A First Course;

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Mathematical Statistics

-asymptotic theory had found no satisfying solutions. In four engaging essays, this book presents a detailed description of how the use;

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Vorticity and Incompressible Flow

between rigorous mathematical theory, numerical, asymptotic, and qualitative simplified modeling, and physical phenomena. The first half forms an;

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