Probability: A Very Short Introduction (Very Short Introductions) by Haigh John
Author:Haigh, John [Haigh, John]
Language: eng
Format: mobi, epub
Tags: A Very Short Introduction
Publisher: Oxford University Press
Published: 2012-04-25T16:00:00+00:00
Combining tiny probabilities
How likely is it that at least one among an enormous number of events, each having a tiny probability, will occur? This can be the pertinent question when considering the probability of a catastrophe. Complex systems or machinery may fail if any one of a myriad of components fails; will two aircraft collide, or might a nuclear power station suffer a meltdown? The so-called Borel-Cantelli Lemmas give some pointers. These mathematical results show that, in many circumstances, the key quantity is the sum of all those tiny probabilities: if it grows without bound, catastrophe is certain.
One consequence is that we can never be satisfied with current safety standards. It is essential to continue to make improvements. For, no matter how high our standards, there is some non-zero probability of failure during any given month: and however small this value, if it remains unchanged (or even if it decreases too slowly) the sum over many months will grow indefinitely large, and disaster will occur sometime.
A sound programme of continual improvement does not guarantee that disaster will be averted: but to be ever satisfied with the status quo is to invite doom.
Download
Probability: A Very Short Introduction (Very Short Introductions) by Haigh John.epub
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Biomathematics | Differential Equations |
Game Theory | Graph Theory |
Linear Programming | Probability & Statistics |
Statistics | Stochastic Modeling |
Vector Analysis |
Modelling of Convective Heat and Mass Transfer in Rotating Flows by Igor V. Shevchuk(6210)
Weapons of Math Destruction by Cathy O'Neil(5785)
Factfulness: Ten Reasons We're Wrong About the World – and Why Things Are Better Than You Think by Hans Rosling(4460)
Descartes' Error by Antonio Damasio(3141)
A Mind For Numbers: How to Excel at Math and Science (Even If You Flunked Algebra) by Barbara Oakley(3083)
Factfulness_Ten Reasons We're Wrong About the World_and Why Things Are Better Than You Think by Hans Rosling(3029)
TCP IP by Todd Lammle(2987)
Applied Predictive Modeling by Max Kuhn & Kjell Johnson(2874)
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets by Nassim Nicholas Taleb(2837)
The Tyranny of Metrics by Jerry Z. Muller(2822)
The Book of Numbers by Peter Bentley(2747)
The Great Unknown by Marcus du Sautoy(2518)
Once Upon an Algorithm by Martin Erwig(2459)
Easy Algebra Step-by-Step by Sandra Luna McCune(2437)
Lady Luck by Kristen Ashley(2388)
Practical Guide To Principal Component Methods in R (Multivariate Analysis Book 2) by Alboukadel Kassambara(2361)
Police Exams Prep 2018-2019 by Kaplan Test Prep(2335)
All Things Reconsidered by Bill Thompson III(2244)
Linear Time-Invariant Systems, Behaviors and Modules by Ulrich Oberst & Martin Scheicher & Ingrid Scheicher(2214)
