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The phrase "a vector of durations" is correct and usable in written English.
It can be used in contexts related to mathematics, programming, or data analysis where you are referring to a collection of time durations represented as a vector.
Example: "In our analysis, we will consider a vector of durations to represent the time taken for each task."
Alternatives: "a list of durations" or "an array of durations".
Exact(1)
However, note that matrix X in (1) yields a vector of durations d∈R m whose elements are sorted in an arbitrary way.
Similar(59)
The term Δtsym is a vector of length T c, J ( v ) ∕ T s y m with a step size of Tsym (symbol duration).
A vector of length N, three.
For any vector of events p=(p 1,…,p n )⊤∈R n, there is always a linear transformation f R n →R m that provides a corresponding vector of durations d∈R m.
In other words, a particular vector of durations can come from infinite different vectors of points in time.
A corresponding vector of durations d∈R m is composed by elements of the form d i,j =p j −p i for i=1,…,n−1, j=2,…,n and j>i.
Given a vector p and the corresponding d=X×p, any differently sorted vector of durations would be obtained by swapping the rows of X. Further, note that X does not have an inverse matrix, and therefore there is no linear transformation from durations to events.
Given a vector of events p=(p 1,…,p n )⊤∈R n, the corresponding vector of durations d∈R m is unique, irrespective of the sorting of its elements.
The effect of covariates on is estimated by the regression model described in Equation 1. 1 In equation 1, is the hazard of a first birth at time t for woman i, is a vector of dummy variables capturing the duration since marriage (in categories of months), is a vector of time-dependent coefficients and a vector of explanatory variables for women i.
This is intuitively straightforward if one thinks that two vectors of events can yield the same vector of durations.
Given a vector of events p=(p 1,…,p n )⊤∈R n, the dimension of the corresponding vector of durations d∈R m is m=n(n−1)/2.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com