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Continuity correction.
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In using the normal approximation to the binomial probability histogram, one can get more accurate answers by finding the area under the normal curve corresponding to half-integers, transformed to standard units. this is clearest if we are seeking the cha
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Continuity, английский
- Непрерывность
- N непрерывность (ант. discreteness)
- Неразрезность; сплошность; непрерывность, неразрывность ~ of mass непрерывность [сплошность] массы
Continuity check, английский
Continuity check indicator, английский
Continuity check message, английский
Continuity check request message, английский
Continuity check request message (ccr), английский
Continuity check transceiver, английский
Continuity check transponder, английский
Continuity controls, английский
Средства компоновки фрагментов в единый документ с контролем непротиворечивости
Continuity correction, английский
In using the normal approximation to the binomial probability histogram, one can get more accurate answers by finding the area under the normal curve corresponding to half-integers, transformed to standard units. this is clearest if we are seeking the chance of a particular number of successes. for example, suppose we seek to approximate the chance of 10 successes in 25 independent trials, each with probability p = 40% of success. the number of successes in this scenario has a binomial distribution with parameters n = 25 and p = 40%. the expected number of successes is np = 10, and the standard error is (np(1−p))½ = 6½ = 2.45. if we consider the area under the normal curve at the point 10 successes, transformed to standard units, we get zero: the area under a point is always zero. we get a better approximation by considering 10 successes to be the range from 9 1/2 to 10 1/2 successes. the only possible number of successes between 9 1/2 and 10 1/2 is 10, so this is exactly right for the binomial distribution. because the normal curve is continuous and a binomial random variable is discrete, we need to "smear out" the binomial probability over an appropriate range. the lower endpoint of the range, 9 1/2 successes, is (9.5 − 10)/2.45 = −0.20 standard units. the upper endpoint of the range, 10 1/2 successes, is (10.5 − 10)/2.45 = +0.20 standard units. the area under the normal curve between −0.20 and +0.20 is about 15.8%. the true binomial probability is 25c10×(0.4)10×(0.6)15 = 16%. in a similar way, if we seek the normal approximation to the probability that a binomial random variable is in the range from i successes to k successes, inclusive, we should find the area under the normal curve from i−1/2 to k+1/2 successes, transformed to standard units. if we seek the probability of more than i successes and fewer than k successes, we should find the area under the normal curve corresponding to the range i+1/2 to k−1/2 successes, transformed to standard units. if we seek the probability of more than i but no more than k successes, we should find the area under the normal curve corresponding to the range i+1/2 to k+1/2 successes, transformed to standard units. if we seek the probability of at least i but fewer than k successes, we should find the area under the normal curve corresponding to the range i−1/2 to k−1/2 successes, transformed to standard units. including or excluding the half-integer ranges at the ends of the interval in this manner is called the continuity correction.
Continuity equation, английский
Уравнение непрерывности
Continuity factor, английский
The ratio between tunnel diameter (dt) and block diameter (db), cf =
Continuity indicator, английский
Continuity jumper, английский
See jumper cable.
Continuity message, английский
Continuity message (cot), английский
Continuity of care, английский
Continuity of care (in case management), английский
Continuity of care document, английский
A standard format used to transfer patient health information between systems.
Continuity of care record, английский
A standard format used to transfer patient health information between systems.
Approximation, английский
- Аппроксимация
- A continual approach to a quantity sought, where there is no possibility of arriving at it exactly.
- Приближение, аппроксимация о as a first ~ в качестве первого приближения
- A coping strategy which involves either circumlocution or substitution in the face of ignorance of the correct form.
Probability, английский
- Probability can be generally defined as a measure of how likely some event will occur. the event could be an explosion, a lottery win or perhaps cancer induction. mathematically speaking, the value of probability varies between 0 and 1 where 0 means an ev
- Вероятность. возможность.
- The probability of an event is a number between zero and 100%. the meaning (interpretation) of probability is the subject of theories of probability, which differ in their interpretations. however, any rule for assigning probabilities to events has to satisfy the axioms of probability.
- Вероятность
- Вероятность probability sample, syn. random sample
- Вероятность. мера случайности появления конкретного события. например, вероятность случайного выбора из популяции человека с конкретным качеством соответствует доле людей в популяции, обладающих этим качеством.
- Вероятность; возможность
- Вероятность; обеспеченность (гидрологической величины) ~ of no-failure вероятность безотказной работы
- Probability is a method for representing uncertainty about propositions or events. it represents the uncertainty about a proposition on a scale from 0 to 1, with a 0 representing complete certainty that the proposition is false or an event will not occur and a value of one will represent the opposite. formally, a probability measure is one that follows kolmogorov`s axioms. there are two main schools of thought on the meaning of probability. frequentists take a narrow interpretation of probability allowing only hypothetically repeatable events or experiments as being quantifiable by probability, while bayesians take a broader interpretation that allows reasoning about "one-shot" events and propositions based on the current knowledge about nature. the bayesian interpretation is most commonly used in artificial intelligence, while the frequentist interpretation is most commonly taught in statistics courses. the label "bayesian" arises from the central role that the bayes theorem plays in this use of probability. it allows one to reason from effects to causes and encourages the use of probability measures to describe supposedly fixed events or propositions which frequentists disallow. the probability for these events reflects one`s state of knowledge about the event, rather than being an assertion that the unknown event can vary. for example, a bayesian would have no qualms about making statements about the probability that a given die, rolled and hidden from his sight is, for example, a six. a frequentist would be unable to make such a statement, preferring to talk about his confidence in the method when applied to a hypothetically large number of repeated experiments. in the end, they would act in similar ways. when the long run data are available, bayesians and frequentists end up with the same estimates. see also: bayes theorem, kolmogorov`s axioms.
- Вероятность. математическое измерение возможности появления неко-его события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относитель-ная частота события, полученная на основе большой серии измерений или результа-тов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The likelihood of something happening. for example, sale being made.
- Вероятность. математическое измерение возможности появления некоего события, выраженное в виде дроби или процента [30]. значения статистической вероятности лежат в пределах от 1 или 100 процентов (всегда) до 0 или 0 процентов (никогда) [20]. наибольшее приближение к истинной вероятности дает относительная частота события, полученная на основе большой серии измерений или результатов [33]. вероятность может быть также определена как выражение в некоторой неопределимой форме "степени уверенности" или как предельная частота события в бесконечной случайной последовательности [49].
- The relative likelihood of a particular outcome among all possible outcomes.
- Likelihood that an event may occur, expressed as a number between 0 and 1.
Corresponding, английский
Соответствующий
Correspond, английский
Соответствовать correspondenceсоответствие
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Prima facie., английский
Latin for "at first glance." "on the face of it." prima facie evidence for something is information that at first glance supports the conclusion. on closer examination, that might not be true; there could be another explanation for the
False discovery rate., английский
In testing a collection of hypotheses, the false discovery rate is the fraction of rejected null hypotheses that are rejected erroneously (the number of type i errors divided by the number of rejected null hypotheses), with the convention that if no hypot
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