
at all events
[Latin ēventus, from past participle of ēvenīre, to happen : ē-, ex-, ex- + venīre, to come.]
eventless e·vent'less adj.The 12 members of the Basle central bankers' club have made reciprocal arrangements to make short-term loans to each other in the event of any currency coming under severe pressure—Times, 1968
Every manned space flight...has a back-up crew, to replace the prime crew in the event of illness or death—R. Turnill, 1970
In the event of a strike, it will not be able to fulfil its contract obligations—Birmingham Post, 2007.The expression has picked up some bad vibes from its extended form in the unlikely event, familiar to air travellers from its euphemistic reference to danger: In the unlikely event of a landing on water....
A metal tubular structure over the cockpit which protects the driver in the event the car overturns—Publications of the American Dialect Society, 1964
Parties should consider at the outset the payment of their advisers' fees in the event that the transaction aborts—D. J. Cooke, 1993.
| evenness, even, eve | |
| eventuality, eventuate, ever, every |
An action initiated either by the user or the computer. An example of a user event is any mouse movement or a keystroke. An example of an internally generated event is a notification based on the time of day. See event driven, event handler and event management system.
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| Evaluation of Internal Control, Europe,australia,and Far East (EAFE) Index, Etfs | |
| Evidence, Ex-Dividend, Ex-Rights |
noun
In a CPM arrow diagram, the starting point for an activity; occurs only when all work preceding it has been performed.
A change or happening. The central debate in the philosophy of events is whether they are to be thought of as individuals, like objects, capable of date and place and capable of being described in different ways, or whether they are more like propositions or facts, whose identity depends essentially on the concepts in which they are framed. On the former model it may prove easier to understand how events can cause things, and how one event (e.g. a commotion in the brain) may be identical with another (e.g. being struck by a thought). The latter model assimilates events to facts, so that just as it can be a fact that the admiral did not arrive, his non-arrival can be a significant event (not at all a non-event) which may have its own causes and effects. Similarly there can exist disjunctive events (John's going to India or China) or quantificational events (Mary's finding a job, i.e. there being some job-finding by Mary).
Winners make a habit of manufacturing their own positive expectations in advance of the event.
— Brian Tracy.
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Quotes:
"The great events of life often leave one unmoved; they pass out of consciousness, and, when one thinks of them, become unreal. Even the scarlet flowers of passion seem to grow in the same meadow as the poppies of oblivion."
- Oscar Wilde
"One of the extraordinary things about human events is that the unthinkable becomes thinkable."
- Salman Rushdie
"Like a kick in the butt, the force of events wakes slumberous talents."
- Edward Hoagland
"The enemy of the conventional wisdom is not ideas but the march of events."
- John Kenneth Galbraith
"In the world we live in everything militates in favor of things that have not yet happened, of things that will never happen again."
- Andre Breton
"A society which allows an abominable event to burgeon from its dung heap and grow on its surface is like a man who lets a fly crawl unheeded across his face or saliva dribble from his mouth -- either epileptic or dead."
- Jean Baudrillard
See more famous quotes about Events
1. an equine contest other than a race, e.g. a 3-day event.
2. in statistics the outcome of a random experiment.

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In probability theory, an event is a set of outcomes (a subset of the sample space) to which a probability is assigned.[1] Typically, when the sample space is finite, any subset of the sample space is an event (i.e. all elements of the power set of the sample space are defined as events). However, this approach does not work well in cases where the sample space is uncountably infinite, most notably when the outcome is a real number. So, when defining a probability space it is possible, and often necessary, to exclude certain subsets of the sample space from being events (see Events in probability spaces, below).
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If we assemble a deck of 52 playing cards with no jokers, and draw a single card from the deck, then the sample space is a 52-element set, as each card is a possible outcome. An event, however, is any subset of the sample space, including any singleton set (an elementary event), the empty set (an impossible event, with probability zero) and the sample space itself (a certain event, with probability one). Other events are proper subsets of the sample space that contain multiple elements. So, for example, potential events include:
Since all events are sets, they are usually written as sets (e.g. {1, 2, 3}), and represented graphically using Venn diagrams. Given that each outcome in the sample space Ω is equally likely, the probability of an event A is

this rule can readily be applied to each of the example events above.
Defining all subsets of the sample space as events works well when there are only finitely many outcomes, but gives rise to problems when the sample space is infinite. For many standard probability distributions, such as the normal distribution, the sample space is the set of real numbers or some subset of the real numbers. Attempts to define probabilities for all subsets of the real numbers run into difficulties when one considers 'badly-behaved' sets, such as those that are nonmeasurable. Hence, it is necessary to restrict attention to a more limited family of subsets. For the standard tools of probability theory, such as joint and conditional probabilities, to work, it is necessary to use a σ-algebra, that is, a family closed under complementation and countable unions of its members. The most natural choice is the Borel measurable set derived from unions and intersections of intervals. However, the larger class of Lebesgue measurable sets proves more useful in practice.
In the general measure-theoretic description of probability spaces, an event may be defined as an element of a selected σ-algebra of subsets of the sample space. Under this definition, any subset of the sample space that is not an element of the σ-algebra is not an event, and does not have a probability. With a reasonable specification of the probability space, however, all events of interest are elements of the σ-algebra.
Even though events are subsets of some sample space Ω, they are often written as propositional formulas involving random variables. For example, if X is a real-valued random variable defined on the sample space Ω, the event

can be written more conveniently as, simply,

This is especially common in formulas for a probability, such as

The set u < X ≤ v is an example of an inverse image under the mapping X because
if and only if
.
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Dansk (Danish)
n. - begivenhed, resultat, disciplin, stævne, isoleret fænomen
idioms:
Nederlands (Dutch)
gebeurtenis, geval, resultaat, evenement, manifestatie
Français (French)
n. - événement, cas, (Jur) cas, (Sport) épreuve, course
idioms:
Deutsch (German)
n. - Ereignis, Veranstaltung, Wettkampf
idioms:
Ελληνική (Greek)
n. - συμβάν, γεγονός, περίπτωση, επακόλουθο, έκβαση, (αθλητ.) αγώνισμα, άθλημα
idioms:
Italiano (Italian)
evento, vicenda, avvenimento
idioms:
Português (Portuguese)
n. - acontecimento (m), evento (m), resultado (m)
idioms:
Русский (Russian)
событие, случай, мероприятие, зрелище, спортивное соревнование, эпизод
idioms:
Español (Spanish)
n. - suceso, evento, ocurrencia, acontecimiento
idioms:
Svenska (Swedish)
n. - händelse, tilldragelse
中文(简体)(Chinese (Simplified))
事件, 竞赛, 结果
idioms:
中文(繁體)(Chinese (Traditional))
n. - 事件, 競賽, 結果
idioms:
idioms:
日本語 (Japanese)
n. - 発生, 出来事, 事件, 事象, 種目, 成り行き, 結果, イベント
idioms:
العربيه (Arabic)
(الاسم) حدث
עברית (Hebrew)
n. - מאורע, אירוע, מקרה, תחרות
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