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1. Normal distribution: The normal distribution, also called Gaussian distribution by scientists (named after Carl Friedrich Gauss due to his rigorous application of the distribution to astronomical data (Havil, 2003)) is a continuous probability distribution of great importance in many fields. It is ... [100%] 2023-06-16
2. Normal distribution: This page can be displayed as Wiki2Reveal slides. Single sections are regarded as slides and modifications on the slides will immediately affect the content of the slides in RevealJS. [100%] 2024-01-07 [Wiki2Reveal] [Statistics]...
3. Normal distribution: The normal distribution is a key distribution in the field of probability. It is also known as the Gaussian distribution, after mathematician Carl Gauss, and the bell curve. [100%] 2023-02-24 [Probability and Statistics]
4. Normal distribution: In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter \displaystyle{ \mu }[/math] is the mean or expectation ... (Probability distribution) [100%] 2023-08-14 [Normal distribution] [Continuous distributions]...
5. Normal distribution: One of the most important probability distributions. The term "normal distribution" is due to K. (Mathematics) [100%] 2023-10-12 [Distribution theory]
6. Normal distribution: In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter μ {\displaystyle \mu } is the mean or expectation of ... (Probability distribution) [100%] 2023-11-14 [Normal distribution] [Continuous distributions]...
7. Normal distribution: In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter Failed to parse (SVG (MathML can be enabled ... (Probability distribution) [100%] 2026-01-13 [Normal distribution] [Continuous distributions]...
8. Normal Distribution: Redirect to:. [100%] 2023-02-08
9. Logarithmic normal distribution: The continuous probability distribution, concentrated on $ ( 0 , \infty ) $, with density $$ \tag{* } p ( x) = \ \left \{ \begin{array}{ll} \frac{ \mathop{\rm log} e }{\sigma x \sqrt {2 \pi } } e ^ {- ( \mathop{\rm log} x - a ) ^ {2} / 2 \sigma ^ {2} } , & x > 0 , \\ 0 ... (Mathematics) [81%] 2023-09-26
10. Truncated normal distribution: In probability and statistics, the truncated normal distribution is the probability distribution derived from that of a normally distributed random variable by bounding the random variable from either below or above (or both). The truncated normal distribution has wide applications ... [81%] 2023-02-19 [Continuous distributions] [Normal distribution]...
11. Wrapped normal distribution: In probability theory and directional statistics, a wrapped normal distribution is a wrapped probability distribution that results from the "wrapping" of the normal distribution around the unit circle. It finds application in the theory of Brownian motion and is a ... [81%] 2023-09-12 [Continuous distributions] [Directional statistics]...
12. Folded normal distribution: The folded normal distribution is a probability distribution related to the normal distribution. Given a normally distributed random variable X with mean μ and variance σ, the random variable Y = |X| has a folded normal distribution. (Probability distribution) [81%] 2023-12-04 [Continuous distributions] [Normal distribution]...
13. Skew normal distribution: In probability theory and statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness. Let \displaystyle{ \phi(x) }[/math] denote the standard normal probability density function with the cumulative ... [81%] 2023-02-17 [Continuous distributions] [Normal distribution]...
14. Split normal distribution: In probability theory and statistics, the split normal distribution also known as the two-piece normal distribution results from joining at the mode the corresponding halves of two normal distributions with the same mode but different variances. It is claimed ... [81%] 2023-08-29 [Continuous distributions] [Normal distribution]...
15. Half-normal distribution: In probability theory and statistics, the half-normal distribution is a special case of the folded normal distribution. Let \displaystyle{ X }[/math] follow an ordinary normal distribution, \displaystyle{ N(0,\sigma^2) }[/math], then \displaystyle{ Y=|X| }[/math] follows a ... (Probability distribution) [81%] 2023-02-22 [Continuous distributions] [Normal distribution]...
16. Skew normal distribution: In probability theory and statistics, the skew normal distribution is a continuous probability distribution that generalises the normal distribution to allow for non-zero skewness. Let ϕ ( x ) {\displaystyle \phi (x)} denote the standard normal probability density function with the cumulative ... [81%] 2022-10-01 [Continuous distributions] [Normal distribution]...
17. Normal-Wishart distribution: In probability theory and statistics, the normal-Wishart distribution (or Gaussian-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a multivariate normal distribution with unknown mean and precision matrix (the ... [81%] 2023-11-29 [Multivariate continuous distributions] [Conjugate prior distributions]...
18. Log-normal distribution: In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln(X) has a normal ... (Probability distribution) [81%] 2023-02-16 [Continuous distributions] [Normal distribution]...
19. Normal-gamma distribution: In probability theory and statistics, the normal-gamma distribution (or Gaussian-gamma distribution) is a bivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a normal distribution with unknown mean and precision. (Family of continuous probability distributions) [81%] 2023-04-06 [Multivariate continuous distributions] [Conjugate prior distributions]...
20. Generalized normal distribution: The generalized normal distribution or generalized Gaussian distribution (GGD) is either of two families of parametric continuous probability distributions on the real line. Both families add a shape parameter to the normal distribution. (Probability distribution) [81%] 2023-02-17 [Continuous distributions] [Normal distribution]...
21. Split normal distribution: In probability theory and statistics, the split normal distribution also known as the two-piece normal distribution results from joining at the mode the corresponding halves of two normal distributions with the same mode but different variances. It is claimed ... [81%] 2023-10-24 [Continuous distributions] [Normal distribution]...
22. Matrix normal distribution: In statistics, the matrix normal distribution or matrix Gaussian distribution is a probability distribution that is a generalization of the multivariate normal distribution to matrix-valued random variables. The probability density function for the random matrix X (n × p) that ... (Probability distribution) [81%] 2024-04-21 [Random matrices] [Continuous distributions]...
23. Logit-normal distribution: In probability theory, a logit-normal distribution is a probability distribution of a random variable whose logit has a normal distribution. If Y is a random variable with a normal distribution, and t is the standard logistic function, then X ... [81%] 2024-05-13 [Continuous distributions]
24. Log-normal distribution: In probability theory, a log-normal (or lognormal) distribution is a continuous probability distribution of a random variable whose logarithm is normally distributed. Thus, if the random variable X is log-normally distributed, then Y = ln(X) has a normal ... (Probability distribution) [81%] 2026-01-13 [Continuous distributions] [Normal distribution]...
25. Normal-inverse-gamma distribution: In probability theory and statistics, the normal-inverse-gamma distribution (or Gaussian-inverse-gamma distribution) is a four-parameter family of multivariate continuous probability distributions. It is the conjugate prior of a normal distribution with unknown mean and variance. [70%] 2023-02-18 [Continuous distributions] [Multivariate continuous distributions]...
26. Normal-inverse-Wishart distribution: In probability theory and statistics, the normal-inverse-Wishart distribution (or Gaussian-inverse-Wishart distribution) is a multivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a multivariate normal distribution with unknown mean and covariance ... [70%] 2023-02-20 [Multivariate continuous distributions] [Conjugate prior distributions]...
27. Normal-exponential-gamma distribution: In probability theory and statistics, the normal-exponential-gamma distribution (sometimes called the NEG distribution) is a three-parameter family of continuous probability distributions. It has a location parameter \displaystyle{ \mu }[/math], scale parameter \displaystyle{ \theta }[/math] and a shape ... [70%] 2023-12-05 [Continuous distributions]