Sentence examples for principle statistics from inspiring English sources

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In his book The Improbability Principle, statistics professor David J. Hand argues that coincidences even spooky ones are unavoidable.

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4. Create a short brochure entitled "Correlation is not causation," in which you explain this principle of statistics, and give examples to support it.

There's a principle in statistics known as "regression toward the mean," which is the phenomenon that if an extreme value of a variable is observed, the next measurement will generally be less extreme.

The likelihood principle in statistics stipulates that likelihood functions encode all relevant information obtainable from experimental data.

According to the principle of statistics, a weighted linear combination of some generalized Gauss probability density can approximate arbitrary distribution.

Based on principle of statistics and fractal theory, we combined the macro- and micro-structure characteristics of coal, and established the control equation of fracture field distribution.

According to the principle of statistics, a mathematical model of critical oil film thickness in deformation zone for thermal scratch was built, with fitting and regression analytical method, and then based on temperature comparison method, the criterion for deciding thermal scratch defect was put forward.

This is similar to the principle in statistics that the greater the variance in one parameter (e.g. light intensity), the greater its potential to explain the variance in another parameter (e.g. availability of water).

In this study, we used a well-known machine learning technique Support Vector Machine (SVM), which is based on the structural minimization principle of statistics theory.

SVM is based on the structural risk minimization principle of statistics learning theory and SVMs are a set of related supervised learning methods used for classification and regression [ 35].

The Taguchi method is a statistical method that utilizes the fundamental principles of statistics, randomization and replication for the design and analysis of factorial experiments.

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