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Asymptotic Theory Of Quantum Statistical Inference

earlier stage (1960s-1970s).This book presents the important and recent results of quantum statistical inference. It focuses on the asymptotic;

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From Finite Sample To Asymptotic Methods In Statistics

justified by asymptotic arguments but are still based on the concepts and principles that underlie exact statistical inference. With this;

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Semimartingales and their Statistical Inference

semimartingales. Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory;

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Semimartingales and Their Statistical Inference

semimartingales. Semimartingales and their Statistical Inference, fills this need by presenting a comprehensive discussion of the asymptotic theory;

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Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make;

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Nonparametric Statistical Methods And Related Topics

-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic;

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Methods for Estimation and Inference in Modern Econometrics

: Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical;

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Methods for Estimation and Inference in Modern Econometrics

: Well-established nonparametric and parametric approaches to estimation and conventional (asymptotic and bootstrap) frameworks for statistical;

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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 Statistical Inference

The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality;

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Asymptotic Statistical Inference

The book presents the fundamental concepts from asymptotic statistical inference theory, elaborating on some basic large sample optimality;

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Inference and Asymptotics

This book provides a systematic account of some developments in asymptotic parametric inference from a likelihood-based perspective. It;

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Statistical Portfolio Estimation

framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many;

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Statistical Portfolio Estimation

framework for statistical inference using local asymptotic normality (LAN). The approach is generalized for portfolio estimation, so that many;

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Statistical Inference

Estimation is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews;

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Statistical Inference

is literally huge. Filling a statistical resource gap, Statistical Inference: The Minimum Distance Approach comprehensively overviews developments;

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Essential Statistical Inference

likelihood, Bayesian, and permutation inference; an introduction to basic asymptotic distribution theory; and modern topics like M-estimation, the;

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Mathematical Statistics Basic Ideas and Selected Topics, Volume II 119 Chapman HallCRC Texts in Statistical Science

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered;

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Geometrical Foundations of Asymptotic Inference

Differential geometry provides an aesthetically appealing and often revealing view of statistical inference. Beginning with an elementary;

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Statistical Inference for Spatial Processes

in computer vision and image processing. This book is devoted to statistical inference in spatial statistics and is intended for specialists needing;

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Theory of Statistical Inference

Theory of Statistical Inference is designed as a reference on statistical inference for researchers and students at the graduate or;

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Inference for Functional Data with Applications

This book presents recently developed statistical methods and theory required for the application of the tools of functional data analysis;

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Exercises and Solutions in Statistical Theory

Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by;

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Exercises and Solutions in Statistical Theory

Exercises and Solutions in Statistical Theory helps students and scientists obtain an in-depth understanding of statistical theory by;

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Aspects of Statistical Inference

Relevant, concrete, and thorough--the essential data-based text on statistical inference The ability to formulate abstract concepts and;

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A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713-1935

This book offers a detailed history of parametric statistical inference. Covering the period between James Bernoulli and R.A. Fisher, it;

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Mathematical Statistics

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at;

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