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Foundations of Inference in Natural Science

Originally published in 1952. This book is a critical survey of the views of scientific inference th;...

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Foundations of Inference in Natural Science

Originally published in 1952. This book is a critical survey of the views of scientific inference th;...

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Bayesian Inference and Maximum Entropy Methods in Science and Engineering

These proceedings from the 37th International Workshop on Bayesian Inference and Maximum Entropy Met;...

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Foundations of Scientific Inference, The

After its publication in 1967, The Foundations of Scientific Inference taught a generation of stude;...

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Epidemiology by Design

A (LONG OVERDUE) CAUSAL APPROACH TO INTRODUCTORY EPIDEMIOLOGY Epidemiology is recognized as the ;...

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Statistical Foundations, Reasoning and Inference

This textbook provides a comprehensive introduction to statistical principles, concepts and methods ;...

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Geometric and Topological Inference

Geometric and topological inference deals with the retrieval of information about a geometric object;...

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Geometric and Topological Inference

Geometric and topological inference deals with the retrieval of information about a geometric object;...

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Modes Of Parametric Statistical Inference

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

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Causality and Probability in the Sciences

Causal inference is perhaps the most important form of reasoning in the sciences. A panoply of disci;...

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Statistical Models & Causal Inference

a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject;

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Statistical Models and Causal Inference

a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject;

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Abductive Inference

This book is about abduction, 'the logic of Sherlock Holmes', and about how some kinds of abductive ;...

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Abductive Inference

This book is about abduction, 'the logic of Sherlock Holmes', and about how some kinds of abductive ;...

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Cambridge Texts in the History of Philosophy

Kant was centrally concerned with issues in the philosophy of natural science throughout his career. The Metaphysical Foundations;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

This book develops the theory of statistical inference in statistical models with an infinite-dimens;...

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Mathematical Foundations of Infinite-Dimensional Statistical Models

In nonparametric and high-dimensional statistical models, the classical Gauss-Fisher-Le Cam theory o;...

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Multi-Method Social Science

regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process;

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Multi-method Social Science

regression, matching, and natural experiments. The book also discusses qualitative tools including process tracing, the use of causal process;

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The Design Inference

) undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to;

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The Design Inference

) undirected natural causes lose their explanatory power. Design inferences can be found in a range of scientific pursuits from forensic science to;

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Nondeductive Inference

Originally published in 1966. An introduction to current studies of kinds of inference in which vali;...

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Nondeductive Inference

Originally published in 1966. An introduction to current studies of kinds of inference in which vali;...

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Linear Statistical Inference And Its Applications

C. R. Rao would be found in almost any statistician's list of five outstanding workers in the world ;...

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Statistics for Astrophysics

This book contains statistics courses on basic to advanced methods with practical exercises using th;...

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Nomic Probability and the Foundations of Induction

of probability is nomic - that is, it involves the notion of natural law, valid across possible worlds. The various epistemic and statistical;

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Maximum Entropy and Bayesian Methods

inference in the natural and social sciences, engineering and medicine. Practical applications include: parametric model fitting and model selection;

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