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Asymptotic Theory Of Quantum Statistical Inference

theory, which is one of the central issues of mathematical statistics and had not been investigated in quantum statistical inference until the;

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Introduction to the Theory of Statistical Inference

Based on the authors lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Introduction to the Theory of Statistical Inference

Based on the authors' lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage;

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Linear Statistical Inference And Its Applications

book represents a comprehensive account of the main body of results that comprise modern statistical theory. -W. G. Cochran [C. R. Rao;

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Some Basic Theory for Statistical Inference

In this book the author presents with elegance and precision some of the basic mathematical theory required for statistical inference at a;

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Introduction to Probability Theory and Statistical Inference

Discusses probability theory and to many methods used in problems of statistical inference. The Third Edition features material on;

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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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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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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Introduction to Statistical Decision Theory

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory of the optimality of maximum likelihood;

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BI Statistical Methods: Volume I

In this ground-breaking work, Peter Walley constructs and justifies a radically rational theory of statistical inference. He derives;

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Optimal Statistical Inference in Financial Engineering

literature, even though this idea is fundamental to the field. Balancing statistical theory with data analysis, Optimal Statistical Inference;

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Constrained Statistical Inference

inference under inequality constraints and to apply the theory to problems in a variety of areas. Constrained Statistical Inference: Order;

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Statistical Modeling & Inference for Soc

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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Statistical Modeling and Inference for Social Science

knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the;

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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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Measuring Statistical Evidence Using Relative Belief

A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview;

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Measuring Statistical Evidence Using Relative Belief

A Sound Basis for the Theory of Statistical Inference Measuring Statistical Evidence Using Relative Belief provides an overview;

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Information, Inference and Decision

allied to the former Saarbriicken school of statistical decision theory. In the first part I make an attempt to outline an objective theory;

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Statistical Inference

statistical inference and statistical decision theory is explained with plenty of illustrations that help students obtain the necessary results from;

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Statistical Inference

authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions;

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Statistical Inference

authors develop the theory of statistical inference using techniques, definitions, and concepts that are statistical and are natural extensions;

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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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Statistical Inference in Stochastic Processes

Covering both theory and applications, this collection of eleven contributed papers surveys the role of probabilistic models and;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimensional parameter space, including;

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