Wondering how to use Univariate in a sentence? Below are 10+ example sentences from authentic English texts. Including the meaning .
Univariate in a sentence
Univariate meaning
Having or involving a single variable
Using Univariate
- The main meaning on this page is: Having or involving a single variable
- In the example corpus, univariate often appears in combinations such as: the univariate, univariate normal, univariate median.
Context around Univariate
- Average sentence length in these examples: 22.8 words
- Position in the sentence: 3 start, 4 middle, 7 end
- Sentence types: 14 statements, 0 questions, 0 exclamations
Corpus analysis for Univariate
- In this selection, "univariate" usually appears near the end of the sentence. The average example has 22.8 words, and this corpus slice is mostly made up of statements.
- Around the word, constant, normal, median and extremes stand out and add context to how "univariate" is used.
- Recognizable usage signals include has a univariate normal distribution and and a univariate analysis could. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "univariate" sits close to words such as aat, abhorrence and abms, which helps place it inside the broader word index.
Example types with univariate
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Sets of central moments can be defined for both univariate and multivariate distributions. (13 words)
First Course" Because the quadratic equation involves only one unknown, it is called " univariate ". (14 words)
In particular, if the trait is quantitative and univariate then both higher and lower trait levels are favoured. (18 words)
When the dimension is two or higher, there are multiple concepts that extend the definition of the univariate median; each such multivariate median agrees with the univariate median when the dimension is exactly one. (34 words)
Extensions The notion of normal distribution, being one of the most important distributions in probability theory, has been extended far beyond the standard framework of the univariate (that is one-dimensional) case (Case 1). (34 words)
One possible definition is that a random vector is said to be k-variate normally distributed if every linear combination of its k components has a univariate normal distribution. (29 words)
Example sentences (14)
When the dimension is two or higher, there are multiple concepts that extend the definition of the univariate median; each such multivariate median agrees with the univariate median when the dimension is exactly one.
In the prospect section, the authors introduced unique requirements on data and methodological design to study compound events, as opposed to those for univariate extremes.
A random element h ∈ H is said to be normal if for any constant a ∈ H the scalar product (a, h) has a (univariate) normal distribution.
Extensions The notion of normal distribution, being one of the most important distributions in probability theory, has been extended far beyond the standard framework of the univariate (that is one-dimensional) case (Case 1).
First Course" Because the quadratic equation involves only one unknown, it is called " univariate ".
For example, : is a univariate algebraic (polynomial) equation with integer coefficients and : is a multivariate polynomial equation over the rational numbers.
Higher order partial derivatives Second and higher order partial derivatives are defined analogously to the higher order derivatives of univariate functions.
In particular, if the trait is quantitative and univariate then both higher and lower trait levels are favoured.
More complex multivariate analyses are sometimes used when multiple characteristics are involved and a univariate analysis could produce confounded results.
One possible definition is that a random vector is said to be k-variate normally distributed if every linear combination of its k components has a univariate normal distribution.
Sets of central moments can be defined for both univariate and multivariate distributions.
The graph of a non-constant (univariate) polynomial always tends to infinity when the variable increases indefinitely (in absolute value ).
The kurtosis of any univariate normal distribution is 3. It is common to compare the kurtosis of a distribution to this value.
Univariate theory Let be a sequence of independent and identically distributed variables with cumulative distribution function F and let denote the maximum.
Common combinations with univariate
These word pairs occur most frequently in English texts: