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Philosophy of Probability and Statistical Modelling

This Element has two main aims. The first one (sections 1-7) is an historically informed review of the philosophy of probability. It;

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Statistical Foundations of Econometric Modelling

This textbook provides an introduction to econometrics through a grounding in probability theory and statistical inference. The emphasis;

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Probability Theory and Statistical Inference

logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Probability and Statistical Inference

Probability and Statistical Inference: From Basic Principles to Advanced Models covers aspects of probability, distribution theory, and;

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Uncertainty

lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy;

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Uncertainty

lay the philosophical and probabilistic groundwork and infrastructure for statistical modeling. It is the first book devoted to the philosophy;

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Probability and Statistical Inference: Volume 1

many other texts using statistical decision theory as their underlying philosophy. This volume covers concepts from probability theory, backed;

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Algebraic Statistics

factorial designs. The work paves the way, in the last two chapters, for the application of computer algebra to discrete probability and statistical;

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Probability And Information

This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science;

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Probability and Information

This updated textbook is an excellent way to introduce probability and information theory to new students in mathematics, computer science;

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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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Numerical And Statistical Methods For Bioengineering

of linear modelling concepts, nonlinear root finding, and numerical integration, chapters on hypothesis testing, data regression and probability are;

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Statistical Modelling by Exponential Families

distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it;

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Statistical Modelling by Exponential Families

distributions in statistical theory, including the normal, gamma, binomial, Poisson, and negative binomial. Strongly motivated by applications, it;

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Beyond Chance and Credence

of probabilities in this way solves some of the puzzles associated with the use of probability and statistical mechanics. The result is an innovative;

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Probability and Mathematical Genetics

Focussing on the work of Sir John Kingman, one of the world's leading researchers in probability and mathematical genetics, this book;

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The Concept of Probability in Statistical Physics

Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context;

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The Concept of Probability in Statistical Physics

Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context;

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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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Distribution of Statistical Observables for Anomalous and Nonergodic Diffusions

scheme design and numerical experiments, the book also derives the governing equations for the probability density function of statistical;

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Institute of Mathematical Statistics Monographs

, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability;

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Probability and Statistical Models with Applications

of statistical discoveries and its numerous figures and tables, Probability and Statistical Models with Applications is a must read for probabilists and;

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The Skew-Normal and Related Families

, will be the standard resource for statisticians and applied researchers. Assuming only basic knowledge of (non-measure-theoretic) probability;

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Statistical Modelling Using Genstat

The complete guide to statistical modelling with GENSTAT Focusing on solving practical problems and using real datasets collected;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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Applied Probability and Stochastic Processes

This book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes;

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