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- этимология
Что (кто) такое probability process - определение
MEASURE OF TOTAL VALUE ONE, GENERALIZING PROBABILITY DISTRIBUTIONS
Measure (probability); Probability Measure
![0-521-62128-3}} [https://books.google.com/books?id=Q1AUhivGmyUC&pg=PA149 page 149]</ref>](https://commons.wikimedia.org/wiki/Special:FilePath/Maxwell-Distr.png?width=200 "0-521-62128-3}} [https://books.google.com/books?id=Q1AUhivGmyUC&pg=PA149 page 149]</ref>")
![A ''probability measure'' mapping the probability space for <math>2^3</math> events to the [[unit interval]].](https://commons.wikimedia.org/wiki/Special:FilePath/Probability-measure.svg?width=200 "A ''probability measure'' mapping the probability space for <math>2^3</math> events to the [[unit interval]].")
Найдено результатов: 2508
improbability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
see improbable
probabilistic
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
Probabilistic actions, methods, or arguments are based on the idea that you cannot be certain about results or future events but you can judge whether or not they are likely, and act on the basis of this judgment. (FORMAL)
...probabilistic exposure to risk.
ADJ: usu ADJ n
probable
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
a.
Likely, presumable, credible, reasonable, to be expected, that stands to reason.
probability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
n. in all probability
Improbability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
·noun The quality or state of being improbable; unlikelihood; also, that which is improbable; an improbable event or result.
Probability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
·noun That which is or appears probable; anything that has the appearance of reality or truth.
II. Probability ·noun The quality or state of being probable; appearance of reality or truth; reasonable ground of presumption; likelihood.
III. Probability ·noun Likelihood of the occurrence of any event in the doctrine of chances, or the ratio of the number of favorable chances to the whole number of chances, favorable and unfavorable. ·see 1st Chance, ·noun, 5.
Probality
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
·noun Probability.
Probability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty.
probability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
n.
1.
Likelihood, presumption, appearance of truth, fair chance, favorable chance.
2.
Verisimilitude, likeliness, credibleness.
probability
MEASURE OF THE EXPECTATION THAT AN EVENT WILL OCCUR OR A STATEMENT IS TRUE
Probality; Probabilistic; Probabilities; Probability calculus; Improbability; Probability.; Probable; Propability; Forward probability; Applications of probability theory
(probabilities)
1.
The probability of something happening is how likely it is to happen, sometimes expressed as a fraction or a percentage.
Without a transfusion, the victim's probability of dying was 100%...
The probabilities of crime or victimization are higher with some situations than with others...
N-VAR
2.
You say that there is a probability that something will happen when it is likely to happen.
If you've owned property for several years, the probability is that values have increased...
His story-telling can push the bounds of probability a bit far at times.
N-VAR [vagueness]
3.
If you say that something will happen in all probability, you mean that you think it is very likely to happen.
The Republicans had better get used to the fact that in all probability, they are going to lose...
PHRASE: PHR with cl [vagueness]
Википедия
Probability measure
In mathematics, a probability measure is a real-valued function defined on a set of events in a probability space that satisfies measure properties such as countable additivity. The difference between a probability measure and the more general notion of measure (which includes concepts like area or volume) is that a probability measure must assign value 1 to the entire probability space.
Intuitively, the additivity property says that the probability assigned to the union of two disjoint events by the measure should be the sum of the probabilities of the events; for example, the value assigned to "1 or 2" in a throw of a dice should be the sum of the values assigned to "1" and "2".
Probability measures have applications in diverse fields, from physics to finance and biology.
