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Fault Tree Handbook

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TLDR
This handbook has been developed not only to serve as text for the System Safety and Reliability Course, but also to make available to others a set of otherwise undocumented material on fault tree construction and evaluation.
Abstract
Introduction: Since 1975, a short course entitled "System Safety and Reliability Analysis" has been presented to over 200 NRC personnel and contractors. The course has been taught jointly by David F. Haasl, Institute of System Sciences, Professor Norman H. Roberts, University of Washington, and members of the Probabilistic Analysis Staff, NRC, as part of a risk assessment training program sponsored by the Probabilistic Analysis Staff. This handbook has been developed not only to serve as text for the System Safety and Reliability Course, but also to make available to others a set of otherwise undocumented material on fault tree construction and evaluation. The publication of this handbook is in accordance with the recommendations of the Risk Assessment Review Group Report (NUREG/CR-0400) in which it was stated that the fault/event tree methodology both can and should be used more widely by the NRC. It is hoped that this document will help to codify and systematize the fault tree approach to systems analysis.

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A survey of online failure prediction methods

TL;DR: To capture the wide spectrum of approaches concerning this area, a taxonomy has been developed, whose different approaches are explained and major concepts are described in detail.
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Creating Fragility Functions for Performance-Based Earthquake Engineering:

TL;DR: In this paper, a set of procedures for creating fragility functions from various kinds of data is introduced, including actual EDP at which each specimen failed, bounding EDP, where some specimens failed and one knows the EDP to which each specimens was subjected, capable EDP where specimen EDPs are known but no specimens failed, and derived, where fragility function are produced analytically; expert opinion; and updating, in which one improves an existing fragility model using new observations.
Book ChapterDOI

Foundations of attack trees

TL;DR: A denotational semantics is provided, based on a mapping to attack suites, which abstracts from the internal structure of an attack tree, which is indispensable to precisely understand how attack trees can be manipulated during construction and analysis.
References
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Book

Practical Nonparametric Statistics

W. J. Conover
TL;DR: Probability Theory. Statistical Inference. Contingency Tables. Appendix Tables. Answers to Odd-Numbered Exercises and Answers to Answers to Answer Questions as discussed by the authors.
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Linear statistical inference and its applications

TL;DR: Algebra of Vectors and Matrices, Probability Theory, Tools and Techniques, and Continuous Probability Models.
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Linear Statistical Inference and its Applications

TL;DR: The theory of least squares and analysis of variance has been studied in the literature for a long time, see as mentioned in this paper for a review of some of the most relevant works. But the main focus of this paper is on the analysis of variance.
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