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11.9 MB
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2F70B6D4AC00259B0ADB08FF1280D5E2CEE989F0
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Added:
Nov. 13, 2025, 9 p.m.
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(Last updated: Nov. 13, 2025, 9:01 p.m.)
| File | Size |
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| Mazari M. Probability, Uncertainty and Quantitative Risk 2023.pdf | 11.9 MB |
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2025-03-08
| Uploaded by CorsaroNero | Size 1.3 GB | Health [ 21 /32 ] | Added 2025-03-08 |
NOTE
SOURCE: Mazari M. Probability, Uncertainty and Quantitative Risk 2023
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COVER
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MEDIAINFO
Textbook in PDF format The theory of probability has been developed in 17th century. It has got its origin from games, tossing coins, throwing a dice, drawing a card from a pack. In 1954 Antoine Gornband had taken an initiation and an interest for this area. The probability theory provides a means of getting an idea of the likelihood of occurrence of different events resulting from a random experiment in terms of quantitative measures ranging between zero and one. The probability is zero for an impossible event and one for an event which is certain to occur. Uncertainty about risk arises as a result of a fundamental lack of understanding about how the world works, randomness in the outcome of natural and human processes, and an inability to measure, characterize, or even at times define key quantities of interest that affect, or are affected by, risk. Risks can vary across time, space, and from individual to individual in a population. Characterization of these variations is an essential part of a risk analysis; however, the basic knowledge or data to fully and effectively characterize risk, and its variability, are often lacking. The role of Quantitative Risk Analysis (QRA) as a foundation for decision making regarding hazardous activities and establishments, has gained increased importance during recent decades. It is possible to discern an increase of the use of QRA in various decision-making situations where safety issues are of major concern, for instance in land use planning, licensing procedures for hazardous establishments, infrastructure projects, the transportation of hazardous goods, and as part of environmental impact assessments. The problem of acknowledging and treating uncertainty is central for the quality and practical usability of quantitative risk analysis. When performing a QRA, a wide range of uncertainties will inevitably be introduced during the process. The impact of these uncertainties must somehow be addressed if the analysis is to serve as a tool in the decision-making process.This book aims to report significant developments in modern probability theory, its relation to stochastic analysis and statistics, stochastic processes, their dynamics and control, as well as applications in domains such as finance, economics, biology, and computer science. The book builds a unifying scientific framework for discussing and evaluating the quality of risk assessments and whether they are fit for purpose. This comprehensive book will be important to risk managers, environmental advocates, scientists, faculty, students, and concerned individuals
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