November 2017
Beginner
286 pages
8h 13m
English
book
Statistics for Data Science
by James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, James D. Miller, Vijayakumar Ramdoss
Content preview from Statistics for Data Science
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Fitting
Fitting is the process of measuring how well a statistical model or process describes a data scientist's observations pertaining to a recordset or experiment. These measures will attempt to point out the discrepancy between observed values and probable values. The probable values of a model or process are known as a distribution or a probability distribution.
Therefore, a probability distribution fitting (or distribution fitting) is when the data scientist fits a probability distribution to a series of data concerning the repeated measurement of a variable phenomenon.
The object of a data scientist performing a distribution fitting is to predict the probability or to forecast the frequency of, the occurrence of the phenomenon at a ...
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