Gaussian assumption of the data vs Gaussian assumption of data

Both phrases are correct, but they are used in slightly different contexts. 'Gaussian assumption of the data' is more commonly used when referring to a specific set of data, while 'Gaussian assumption of data' is more general and can be applied to any data. The choice between the two depends on the level of specificity needed in the context.

Last updated: March 19, 2024 • 653 views

Gaussian assumption of the data

This phrase is correct and commonly used when referring to a specific set of data.

This phrase is used when discussing the assumption that the data follows a Gaussian (normal) distribution. It is often used in statistical analysis and modeling.

Show examples from the web [+]

Learning the structure of a graphical model under a multivariate Gaussian assumption of the data has received wide attention in recent years (Meinshausen and ...
However, it is stringent to the Gaussian assumption of the data, and therefore may not be efficient for analyzing real observations that may be non-Gaussian ...
However, the Gaussian assumption of the data may make it inappropriate when the data are discrete, such as binary or count data. 2.1.2 Dimensionality ...
[10].3 In short, the Gaussian assumption of the data symbols leads to a UCRB that is a valid lower bound on the variance of any consistent estimator that is ...

Alternatives:

assumption of Gaussian data
data's Gaussian assumption

Gaussian assumption of data

This phrase is correct and more general, suitable for referring to the Gaussian assumption in any data set.

This phrase is used to describe the assumption that data follows a Gaussian (normal) distribution without specifying a particular data set. It is a more general way of expressing the concept.

Show examples from the web [+]

(lla) which is a pure GLM model on log-variances (Foulley et al. [2]) retrieving the. Gaussian assumption of data both conditionally and marginally. (b) Yij = VO,ij.
Aug 17, 2010 ... Figure 2: Checking Gaussian assumption of data matrix measured in ROIs for (a) ASD and (b). PedCon. In the left panels, the horizontal axises ...
computationally demanding if a Gaussian assumption of data distribution is not employed. We should aim to select features leading to large between-class ...
computationally demanding if a Gaussian assumption of data distribution is not employed. We should aim to select features leading to large between-class ...

Alternatives:

assumption of Gaussian data
data's Gaussian assumption

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Gaussian assumption of the data vs Gaussian assumption of data