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Sense and Nonsense of Statistical Inference: Controversy

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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Sense and Nonsense of Statistical Inference

This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other;

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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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The Significance Test Controversy Revisited

methodological contributions. The first part of the book gives an overview of the major approaches to statistical testing and an enlightening;

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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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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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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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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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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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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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Optimal Statistical Inference in Financial Engineering

proposed models. After explaining the elements of probability and statistical inference for independent observations, the book discusses the;

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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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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 Inference

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

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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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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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Modes Of Parametric Statistical Inference

of different statistical modes of parametric inference. Unlike many other texts that focus on methodology and applications, this book focuses on a;

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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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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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