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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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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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Inference Principles for Biostatisticians

presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent;

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Inference Principles for Biostatisticians

presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical underpinnings essential to understanding subsequent;

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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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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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Statistical Foundations, Reasoning and Inference

This textbook provides a comprehensive introduction to statistical principles, concepts and methods that are essential in modern statistics;

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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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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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Information, Inference and Decision

the borderland of statistical inference philosophy and epistemology, written by statisticians and decision theorists who belonged or are;

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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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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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Digital Signal Processing (DSP) with Python Programming

The parameter estimation and hypothesis testing are the basic tools in statistical inference. These technics occur in many applications;

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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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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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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

. 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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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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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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