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The Myth of Statistical Inference

is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom;

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The Myth of Statistical Inference

is for these reasons that statistical inference can be characterized as a myth. The book is aimed primarily at social scientists, for whom;

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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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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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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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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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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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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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BI Statistical Methods: Volume I

presents the foundations and the general theory of statistical inference. Volume 2 applies the theory to derive practical methods for analysing;

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Statistical Inference for Fractional Diffusion Processes

point of view. This book deals with Fractional Diffusion Processes and statistical inference for such stochastic processes. The main focus;

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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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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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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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Modes Of Parametric Statistical Inference

A fascinating investigation into the foundations of statistical inference This publication examines the distinct philosophical foundations;

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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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Statistical Inference

account of the Bayesian and frequentist approaches to statistical inference. Now with an additional author, this second edition places a more;

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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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Statistical Modeling & Inference for Soc

Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior;

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Statistical Modeling and Inference for Social Science

Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior;

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Statistical Inference in Stochastic Processes

statistical techniques in image analysis and processing, develops likelihood methods for inference about parameters that determine the drift and the;

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