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Understanding Uncertainty

the rules of probability Understanding Uncertainty, Revised Edition is ideal for students studying probability or statistics and for anyone;

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Measurement Uncertainty And Probability

uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability;

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Belief Reliability Theory and Methodology

of probability theory, uncertainty theory and chance theory. The main topics include the philosophical basis of reliability science, the principles;

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Belief Reliability Theory and Methodology

of probability theory, uncertainty theory and chance theory. The main topics include the philosophical basis of reliability science, the principles;

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Theories Of Probability

based on qualitative approaches to probabilistic-like uncertainty, and includes qualitative theories for the standard theory as well as several;

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Reasoning about Uncertainty

Formal ways of representing uncertainty and various logics for reasoning about it; updated with new material on weighted probability;

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Uncertainty

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic;

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Uncertainty

This book presents a philosophical approach to probability and probabilistic thinking, considering the underpinnings of probabilistic;

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The Science of Conjecture - Evidence and Probability before Pascal

How did we make reliable predictions before Pascal and Fermat's discovery of the mathematics of probability in 1654? What methods in law;

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From Cosmos to Chaos The Science of Unpredictability

is actually dominated by uncertainty? This book attempts to explain the basics of probability theory, and illustrate their application across the;

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Reasoning about Uncertainty

and reasoning about uncertainty; the material is accessible and relevant to researchers and students in many fields, including computer;

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An Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems

statistics for uncertainty quantification in the context of inverse problems, as well as an introduction to statistical regularization of inverse;

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Uncertainty, Calibration and Probability

certain range. The more precise the measurement, the smaller the range of uncertainty. Uncertainty, Calibration and Probability is a comprehensive;

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Uncertainty and the Environment

This thought provoking book is concerned with the need to deal adequately with uncertainty in environmental decision making. The author;

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Classification in the Wild The Art and Science of Transparent Decision Making The Science and Art of Transparent Decision Making

of uncertainty. This book focuses on classification--allocating objects into categories--in the wild, in real-world situations and far from the certainty;

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Probability Concepts in Engineering Planning and Design

1. Role of Probability in Engineering 1.1. Introduction 1.2. Uncertainty in Real-World Information 1.2.1. Uncertainty Associated with;

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Theory of Decision under Uncertainty

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories;

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Theory of Decision under Uncertainty

This book describes the classical axiomatic theories of decision under uncertainty, as well as critiques thereof and alternative theories;

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Cambridge Studies in Probability, Induction and Decision Theory

events. In the Bayesian view, probability is a mental construct representing uncertainty. This 2002 book is about these two types of probability;

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Uncertainty In Risk Assessment

sciences. Uncertainty in Risk Assessment: * Illustrates the need for seeing beyond probability to represent uncertainties in risk assessment;

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Probability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the;

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Probability Methods for Cost Uncertainty Analysis

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective, Second Edition gives you a thorough grounding in the;

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Uncertainty Modeling and Analysis in Engineering and the Sciences

of uncertainty and a reliance on expert opinions. Uncertainty Modeling and Analysis in Engineering and the Sciences prepares current and future analysts;

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High-Dimensional Probability

High-dimensional probability offers insight into the behavior of random vectors, random matrices, random subspaces, and objects used to;

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The Portfolio Theorists

Read examines probability, risk, and uncertainty through the contributions of John von Neumann, Leonard Jimmie Savage, Kenneth Arrow and;

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Cognition and Chance

probabilistic naivete, impairs decision making under uncertainty, facilitates the misinterpretation of statistical information, and precludes critical;

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Uncertainty Quantification and Predictive Computational Science

prediction from basic building blocks, the book first reviews the fundamentals that underpin later topics of the book including probability, sampling;

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