Data Transformation (Statistics)

Data Transformation (Statistics)

Frederic P. Miller, Agnes F. Vandome, John McBrewster

     

бумажная книга



Издательство: Книга по требованию
Дата выхода: июль 2011
ISBN: 978-6-1337-1050-4
Объём: 108 страниц
Масса: 184 г
Размеры(В x Ш x Т), см: 23 x 16 x 1

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, data transformation refers to the application of a deterministic mathematical function to each point in a data set — that is, each data point zi is replaced with the transformed value yi = f(zi), where f is a function. Transforms are usually applied so that the data appear to more closely meet the assumptions of a statistical inference procedure that is to be applied, or to improve the interpretability or appearance of graphs. Nearly always, the function that is used to transform the data is invertible, and generally is continuous. The transformation is usually applied to a collection of comparable measurements. For example, if we are working with data on peoples' incomes in some currency unit, it would be common to transform each person's income value by the logarithm function.

Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.