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Group Invariance In Statistical Inference

In applied and pure sciences, the structural properties of groups are increasingly utilised to find better solutions in statistical;

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Theory of Statistical Inference

role that can be played by group theory and invariance in statistical inference. Nonparametric (rank-based) methods are derived by the same;

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Ecological Inference

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference;

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Ecological Inference

Drawing upon the explosion of research in the field, a diverse group of scholars surveys strategies for solving ecological inference;

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Asymptotic Theory Of Quantum Statistical Inference

Quantum statistical inference, a research field with deep roots in the foundations of both quantum physics and mathematical statistics, has;

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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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Constrained Statistical Inference

An up-to-date approach to understanding statistical inference Statistical inference is finding useful applications in numerous fields, from;

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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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Semimartingales and their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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Semimartingales and Their Statistical Inference

Statistical inference carries great significance in model building from both the theoretical and the applications points of view. Its;

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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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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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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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Symmetry and Economic Invariance

models, group theory is still not among his or her repertoire of tools. The authors aim to show that group theoretic methods form a natural;

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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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The Myth of Statistical Inference

. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It;

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The Myth of Statistical Inference

. Because this is not really a possible goal, statistical inference is not, cannot be, doing for us today what we imagine it is doing for us. It;

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Statistical Inference for Fractional Diffusion Processes

economics. In model building, statistical inference for stochastic processes is of great importance from both a theoretical and an applications;

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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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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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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently;

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Inferential Models

A New Approach to Sound Statistical Reasoning Inferential Models: Reasoning with Uncertainty introduces the authors' recently developed;

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Statistical Modeling & Inference for Soc

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Statistical Modeling and Inference for Social Science

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;

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Bayesian Inference for Gene Expression and Proteomics

data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high;

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