Covariance and correlation

Bucket evaluations

In statistics, bucket evaluations is a method for correlating vectors. This method is a non-parametric, unsupervised correlation method first published in 2012 by et al. Bucket evaluations was initially constructed for genetic research, and was used for finding a new potential anti-cancer drug. Bucket evaluations is named after the technique used to compare vectors in a matrix. Values in the vector are compared in sections (buckets). The buckets are set in a descending order, where the smallest buckets hold the highest scores, and have the strongest effect on the final correlation score. The similarity between vectors is calculated by comparing the ranks of the scores in each bucket, which are summed up to a similarity score. (Wikipedia).

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Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Fit curves and surfaces to data using regression, interpolation, and smoothing using Curve Fitting Toolbox. For more videos, visit http://www.mathworks.com/products/curvefi

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Data types

Data that are collected for statistical analysis can be classified according to their type. It is important to know what data type we are dealing with as this determines the type of statistical test to use.

From playlist Learning medical statistics with python and Jupyter notebooks

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From playlist Applications of Integration

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