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Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted;

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Likelihood and Bayesian Inference

likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the;

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Likelihood & Bayesian Inference

likelihood-based inference from a frequentist viewpoint, and exploring the properties of the maximum likelihood estimate, the score function, the;

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The Bayesian Way: Introductory Statistics for Economists and Engineers

engineering and economics The Bayesian Way offers a basic introduction to statistics that emphasizes the Bayesian approach and is designed for use by;

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Workshop Statistics

This first edition focuses on probability and the Bayesian viewpoint. It presents basic material on probability and then introduces;

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Probability and Bayesian Modeling

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus;

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Bayesian Statistics for Experimental Scientists

This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free;

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Introduction to Bayesian Statistics

with chapter exercises. Introduction to Bayesian Statistics, Third Edition also features: * Topics including the Joint Likelihood function and;

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Bayesian Modeling Using WinBUGS

implementation of key principles. The book begins with a basic introduction to Bayesian inference and the WinBUGS software and goes on to cover key;

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Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 1, Probability

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted;

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Statistical Modeling and Computation

Modeling and Computation provides a unique introduction to modern Statistics from both classical and Bayesian perspectives. It also offers an;

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Probability and Statistical Inference, Third Edition

tools Probability and Statistical Inference offers a unique approach to problems that allows the reader to fully integrate the knowledge;

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Probability and Statistics for Actuaries

the first focusing on probability and the second focusing on statistics. Part I begins with a strategic review of probabilistic models and;

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Probability and Statistical Inference

placed in the context of a practical setting. Features: *Complete introduction to mathematical probability, random variables, and;

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Probability and Statistical Inference

placed in the context of a practical setting. Features: *Complete introduction to mathematical probability, random variables, and;

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Probability in Physics

This textbook presents an introduction to the use of probability in physics, treating introductory ideas of both statistical physics and;

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Introductory Statistical Inference with the Likelihood Function

programs will benefit from the likelihood modeling approach that is used throughout the text. This will also appeal to epidemiologists and;

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Bayesian Programming

financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an;

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Bayesian Programming

financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide 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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An Introduction to Probability and Statistics

A well-balanced introduction to probability theory and mathematical statistics Featuring updated material, An Introduction to Probability;

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An Introduction to Bayesian Inference in Econometrics

This is a classical reprint edition of the original 1971 edition of An Introduction to Bayesian Inference in Economics. This historical;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

mathematics, probability, and statistics. This book bridges applied mathematics and statistics by providing a basic introduction to probability and;

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A Mathematical Primer for Social Statistics

and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares;

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Think Stats

with a case study throughout the book to help you learn the entire data analysis process - from collecting data and generating statistics to;

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Basic Skills In Statistics

GPs. Table of Contents: Part 1 Introduction Part 2 Laying the foundations: measure and probability Part 3;

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Introduction to Applied Probability and Statistical Theory

Statistic: A Concise Mathematical Introduction for Students and Scientists offers a one academic term text that prepares the student to;

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