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BI Statistical Methods: Volume I

statistical methods are important, including econometrics, decision theory, inductive logic, philosophy of science, psychology, and clinical trials;

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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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Logic of Statistical Inference

This book is a philosophical study of the basic principles of statistical reasoning. Professor Hacking has sought to discover the simple;

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Nondeductive Inference

deductive models. In particular, inductive inference, predictive inference, statistical inference, and decision making are examined in some detail;

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Nondeductive Inference

deductive models. In particular, inductive inference, predictive inference, statistical inference, and decision making are examined in some detail;

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Information, Inference and Decision

of inductive behaviour, on the basis of R. A. Fisher's statistical inference philosophy, on the one hand, and R. Carnap's inductive logic, on the other;

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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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Markov Logic

templates for features of Markov random fields. Most statistical models in wide use are special cases of Markov logic, and first-order logic is its;

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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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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

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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Uncertain Inference

problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. Thisbook seeks to provide a clear exposition;

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Uncertain Inference

problem of uncertain inference, ranging from probability to inductive logic to nonmonotonic logic. Thisbook seeks to provide a clear exposition;

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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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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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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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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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