Sentence examples for branch of statistics from inspiring English sources

Exact(11)

Experimental design is the branch of statistics that deals with the design and analysis of experiments.

In 1959 he joined the RAND Corporation as a strategic analyst, applying his academic expertise a branch of statistics known as decision theory to matters of national security.

It's about the history of a branch of statistics called Bayesian statistics, which I am pretty sure I don't yet understand enough to successfully explain.

This vision is not shared by those who view econometrics as a branch of statistics rather than as a distinct field of knowledge that designs methods of inference from data based on models of human choice behavior and social interactions.

In addition, a major branch of statistics, Bayesian statistics, is based on Bayesian principles.

It should also be mentioned that an important branch of statistics, Bayesian statistics is based on the principles of Bayesian epistemology.

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Similar(49)

Regression analysis is one of the most mature and widely applied branches of statistics.

A platform for knowledge transfer, the Journal will publish original contributions and review articles in all branches of statistics, probability and operations research.

Although general 2-D interpolation techniques are well-known in various branches of statistics and signal processing, the main issue in a sensor network is exploring proper spatio/temporal interpolation such that communication and processing are also efficiently accomplished.

Although these assumptions are valid in some applications and have significantly reduced the complexity of techniques developed, over the last three decades practitioners in various branches of statistics, signal processing, and communications have become increasingly aware of the limitations these assumptions pose in addressing many real-world applications.

Third, the merit of bootstrapping is well known in many branches of statistics [ 22, 67], where it is frequently used to quantify the variability within the data.

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