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The phrase "a set of statistical" is correct and usable in written English.
It can be used when referring to a collection or group of statistical data, methods, or analyses.
Example: "The researchers compiled a set of statistical analyses to support their findings."
Alternatives: "a collection of statistical" or "a group of statistical".
Exact(60)
Machine learning, at its core, is a set of statistical methods meant to find patterns of predictability in datasets.
We helped Marriott use a set of statistical models to establish causal links between its management practices and workforce events and behaviors.
The continuous wavelet transform (CWT) and wavelet packet transform (WPT) are estimated from time domain signals, and a set of statistical features are extracted from the wavelet transform.
An outcome of this empirical study is a set of statistical models for predicting the maintainability of XSL transformations with relatively high accuracy.
Sequentially, a set of statistical report forms is designed to investigate the energy consumption of cities, provinces and the country, respectively.
The new system will rely on a set of computer-based pattern recognition techniques known as "data mining," a set of statistical techniques used by scientists as well as by marketers searching for potential customers.
PETLab projects include a curriculum in game design for the Boys and Girls Club, a set of statistical games for the Red Cross Climate Centre, and big games such as Re Activism and the "fiscal" sport Budgetball.
Survival analysis is a set of statistical methods for examination of the time duration of occurrences of the studied (observed) events, which in this case will capture the best performance in the TOP career or termination of TOP career.
A set of statistical experiments is used to benchmark the framework components and shows that this approach requires no extensive training for generalisation and can adapt to environmental changes flexibly.
The paper introduces a set of statistical models developed based on regression analyses and discrete choice models to estimate the number of freight trips produced and attracted per week, and the attraction of weight and volumes of freight.
In order to determine the effects of the variation of the operating conditions on the yield distributions, a set of statistical models were utilized and the maximum point of the yield of each product was determined.
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