implies independency between vs implies independence between

Both phrases are not commonly used in English. The correct phrase to use is 'implies independence between'. 'Independence' is the correct term to describe the lack of relationship or connection between two things.

Last updated: March 17, 2024 • 664 views

implies independency between

This phrase is not correct in English. The term 'independency' is not commonly used to describe the lack of relationship or connection between two things.

The term 'independency' is not standard English. It is better to use 'independence' to convey the idea of lack of relationship or connection between two entities.

Show examples from the web [+]

(X) implies independency between event X and Y . Also the inequality S. (R) q. (X |Y ) ≤. S. (R) q. (X) (i.e., an extra knowledge about Y lessens our ignorance ...
Gaussian distributions, this implies independency between mea- surements. The independency assumption is the hardest assump- tion taken, which leads to ...
Gaussian distributions, this implies independency between mea- surements. The independency assumption is the hardest assump» tion taken, which leads to ...
e to form e. Note that the c−likelihood function δ considered here implies independency between choices; that is, the likelihood of any formula to hold is constant,.

implies independence between

This phrase is correct in English. 'Independence' is the appropriate term to describe the lack of relationship or connection between two entities.

When describing the absence of a relationship or connection between two things, it is correct to use 'implies independence between'.

Show examples from the web [+]

log Ω is often more useful for inference: ∗ log Ω takes on values in R. ∗ log Ω = 0 implies independence between the response and predictor. 3 ...
Oct 20, 2013 ... In the case where Y has a multivariate normal distribution, this implies independence between Yi and Yj, given (Yi+1, …, Yj−1). We anticipate ...
A first model implies independence between valence and arous- al: Arousali. 0 i,. (Model 1) with i denoting the ith observation (e.g., a stimulus or a person).
Feb 8, 2012 ... Run 100 experiments and argue that the observed data implies independence between the events A={Coin=Head} and B={Die=3}, i.e., P(AB) ...

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implies independency between vs implies independence between