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1. Continuous distribution: A probability distribution without atoms. Thus, a continuous distribution is the opposite of a discrete distribution (see also Atomic distribution). (Mathematics) [100%] 2022-12-11 [Distribution theory]
2. Multivariate stable distribution: The multivariate stable distribution is a multivariate probability distribution that is a multivariate generalisation of the univariate stable distribution. The multivariate stable distribution defines linear relations between stable distribution marginals. [88%] 2023-05-16 [Multivariate continuous distributions] [Probability distributions with non-finite variance]...
3. Multivariate Pareto distribution: In statistics, a multivariate Pareto distribution is a multivariate extension of a univariate Pareto distribution. There are several different types of univariate Pareto distributions including Pareto Types I−IV and Feller−Pareto. [88%] 2022-09-16 [Multivariate continuous distributions]
4. Multivariate Laplace distribution: In the mathematical theory of probability, multivariate Laplace distributions are extensions of the Laplace distribution and the asymmetric Laplace distribution to multiple variables. The marginal distributions of symmetric multivariate Laplace distribution variables are Laplace distributions. [88%] 2023-06-04 [Probability distributions] [Multivariate continuous distributions]...
5. Continuous uniform distribution: In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions. Such a distribution describes an experiment where there is an arbitrary outcome that lies between certain bounds. (Uniform distribution on an interval) [81%] 2024-01-06 [Continuous distributions] [Location-scale family probability distributions]...
6. Continuous probability distribution: A continuous probability distribution is one of the three main types of probability distributions, along with discrete and hybrid ones. A discrete distribution describes variables that take on discrete values only (typically the positive integers), while a continuous one describes ... [81%] 2023-08-07
7. Continuous uniform distribution: In probability theory and statistics, the continuous uniform distributions or rectangular distributions are a family of symmetric probability distributions. Such a distribution describes an experiment where there is an arbitrary outcome that lies between certain bounds. (Uniform distribution on an interval) [81%] 2024-01-07 [Continuous distributions] [Location-scale family probability distributions]...
8. Continuous Bernoulli distribution: In probability theory, statistics, and machine learning, the continuous Bernoulli distribution is a family of continuous probability distributions parameterized by a single shape parameter \displaystyle{ \lambda \in (0, 1) }[/math], defined on the unit interval \displaystyle{ x \in [0, 1 ... (Probability distribution) [81%] 2024-01-06 [Continuous distributions] [Exponential family distributions]...
9. CONTINUOUS: 『CONTINUOUS』（コンティニュース）は、柿原徹也の2枚目のミニアルバム。2012年2月15日にKiramuneから発売された。 自身2枚目となるミニアルバム。豪華盤と通常盤の2種リリースであり、前者には、「Chaos Breaker」のPV、メイキング映像を収録したDVD、豪華盤、通常盤の両盤には柿原直筆のメッセージカードが同梱されている。 本作のコンセプトは、「1曲ごとの物語を冒険書のように紡ぐ」である。 DVD（豪華盤のみ）. [78%] 2023-11-24 [柿原徹也のミニ・アルバム] [2012年のミニ・アルバム]...
10. Multivariate statistics: This statistics resource is a "stub". Learn how you can help Wikiversity to develop it. [64%] 2024-01-26 [Multivariate statistics]
11. Multivariate statistics: This statistics resource is a "stub". Learn how you can help Wikiversity to develop it. [64%] 2023-09-11 [Multivariate statistics]
12. Multivariate map: A bivariate map or multivariate map is a type of thematic map that displays two or more variables on a single map by combining different sets of symbols. Each of the variables is represented using a standard thematic map technique ... (Thematic map visualizing multiple variables) [64%] 2023-09-15 [Thematic Maps]
13. Multivariate outlier: In statistics, an outlier refers to a case that deviates to a notable extent from the typical range or pattern of observations exhibited for other cases. It's important to distinguish between univariate, bivariate, and multivariate outliers. [64%] 2023-12-18 [Multivariate statistics]
14. Multivariate statistics: Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable. Multivariate statistics concerns understanding the different aims and background of each of the different forms of multivariate analysis, and how they ... (Simultaneous observation and analysis of more than one outcome variable) [64%] 2023-02-07 [Multivariate statistics]
15. Multivariate analysis: Multivariate analysis (MVA) is based on the statistical principle of multivariate statistics, which involves observation and analysis of more than one statistical variable at a time. In design and analysis, the technique is used to perform trade studies across multiple ... [64%] 2023-08-06 [Statistical methods]
16. Distribution: Distribution One of the four elements of the marketing mix. The practise of making a product or service available to the consumer or business user who requires it is known as distribution. [63%] 2024-01-06
17. Distribution: A distribution of measurements or observations is the frequency of these measurements shown as a function of one or more variables, usually in the form of a histogram. Experimental distributions can thus be compared to theoretical probability density functions. [63%] 2023-09-25 [W.Krisher and R.Bock] [Data analysis]...
18. Distribution: In functional analysis: the same as a generalized function. In probability and statistics: the way to describe probability of random variables taking certain values, see Distribution function; Distribution law; Distribution, type of. In differential geometry and topology: Distribution of tangent ... (Mathematics) [63%] 2023-12-19
19. Distribution (mathematics): Distributions, also known as Schwartz distributions or generalized functions, are objects that generalize the classical notion of functions in mathematical analysis. Distributions make it possible to differentiate functions whose derivatives do not exist in the classical sense. (Mathematics) [63%] 2024-01-06 [Articles containing proofs] [Functional analysis]...
20. Distribution (moteur): Pour les articles homonymes, voir Distribution. En mécanique, la distribution regroupe les mécanismes qui assurent l'admission et l'échappement des gaz dans les cylindres d'un moteur à explosion. (Moteur) [63%] 2024-01-06