"Discrete probability distribution"의 두 판 사이의 차이

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* ID :  [https://www.wikidata.org/wiki/Q26898117 Q26898117]
 
* ID :  [https://www.wikidata.org/wiki/Q26898117 Q26898117]
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===Spacy 패턴 목록===
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* [{'LOWER': 'discrete'}, {'LOWER': 'probability'}, {'LEMMA': 'distribution'}]
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* [{'LOWER': 'discrete'}, {'LEMMA': 'distribution'}]

2021년 2월 16일 (화) 23:55 기준 최신판

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말뭉치

  1. A discrete probability distribution is made up of discrete variables.[1]
  2. The number of people in line at McDonald’s on a given day and time A discrete probability distribution can be described by a table, by a formula, or by a graph.[2]
  3. Sometimes, the discrete probability distribution is referred to as the probability mass function (pmf).[2]
  4. The above table represents a discrete probability distribution because it relates each value of a discrete random variable with its probability of occurrence.[3]
  5. With a discrete probability distribution, each possible value of the discrete random variable can be associated with a non-zero probability.[3]
  6. Thus, a discrete probability distribution can always be presented in tabular form.[3]
  7. A discrete distribution, as mentioned earlier, is a distribution of values that are countable whole numbers.[4]
  8. Observing the above discrete distribution of collected data points, we can see that there were five hours where between one and five people walked into the store.[4]
  9. A discrete distribution is a statistical distribution that shows the probabilities of discrete (countable) outcomes, such as 1, 2, 3...[5]
  10. The list may be finite or infinite; the Poisson distribution is a discrete distribution whose list {0, 1, 2, ...} is infinite.[5]
  11. One example where discrete distribution can be valuable for businesses is in inventory management.[5]
  12. So this, what we've just done here is constructed a discrete probability distribution.[6]
  13. Another discrete distribution that generalizes the discrete skew Laplace distribution was proposed by Lekshmi and Sebastian (2014).[7]
  14. Explain what is meant by the term discrete probability distribution.[8]
  15. Video - 14:53 mins Introduction to the idea of the expectation of a random variables using the discrete distribution example.[8]
  16. So that's called a discrete probability distribution.[9]

소스

  1. ↑ Discrete Probability Distribution: Definition & Examples
  2. ↑ 2.0 2.1 Discrete Random Variables
  3. ↑ 3.0 3.1 3.2 StatTrek
  4. ↑ 4.0 4.1 Overview, How It Works, Examples
  5. ↑ 5.0 5.1 5.2 Discrete Distribution Definition
  6. ↑ Constructing a probability distribution for random variable (video)
  7. ↑ Generating discrete analogues of continuous probability distributions-A survey of methods and constructions
  8. ↑ 8.0 8.1 Archive Discrete Probability Distributions
  9. ↑ Random Variables And Discrete Probability Distributions

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  • [{'LOWER': 'discrete'}, {'LOWER': 'probability'}, {'LEMMA': 'distribution'}]
  • [{'LOWER': 'discrete'}, {'LEMMA': 'distribution'}]
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