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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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Optimal Statistical Inference in Financial Engineering

, their asymptotically optimal inference, and the problem of prediction, followed by a chapter on statistical financial engineering that addresses;

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Statistical Modeling and Inference for Social Science

of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields;

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Statistical Inference

A Balanced Treatment of Bayesian and Frequentist Inference Statistical Inference: An Integrated Approach, Second Edition presents an;

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Statistical Modeling & Inference for Soc

of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields;

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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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Measuring Statistical Evidence Using Relative Belief

choose the ingredients for a statistical problem and how these choices are to be checked for their relevance in an application.;

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Measuring Statistical Evidence Using Relative Belief

ingredients for a statistical problem and how these choices are to be checked for their relevance in an application.;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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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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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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Statistical Inference via Convex Optimization

optimization theory can be used to devise and analyze near-optimal statistical inferences. Statistical Inference via Convex Optimization is an;

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Constrained Statistical Inference

sociology and econometrics to biostatistics. This volume enables professionals in these and related fields to master the concepts of statistical;

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Introduction to the Theory of Statistical Inference

problems. Highlights Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable;

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Introduction to the Theory of Statistical Inference

problems. Highlights Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but;

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Inferential Models

interesting and challenging problems of conditional and marginal inference. This book delves into statistical inference at a foundational;

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Inferential Models

interesting and challenging problems of conditional and marginal inference. This book delves into statistical inference at a foundational level;

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Statistical Inference

Distance Approach gives a thorough account of density-based minimum distance methods and their use in statistical inference. It covers statistical;

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Statistical Inference

thorough account of density-based minimum distance methods and their use in statistical inference. It covers statistical distances, density-based;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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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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The Myth of Statistical Inference

statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but;

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The Myth of Statistical Inference

statistics and statistical inference are a common concern and frustration. Because the historical development given here is not merely anecdotal, but;

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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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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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