Weighted Geometric Mean
Lambert M. Surhone, Mariam T. Tennoe, Susan F. Henssonow
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In statistics, given a set of data, X={x_1,x_2dots,x_n} and corresponding weights, W={w_1, w_2,dots,w_n } the weighted geometric mean is calculated as bar{x} = left(prod_{i=1}^n x_i^{w_i}right)^{1 / sum_{i=1}^n w_i} = quad exp left( frac{sum_{i=1}^n w_i ln x_i}{sum_{i=1}^n w_i quad} right) Note that if all the weights are equal, the weighted geometric mean is the same as the geometric mean. Данное издание не является оригинальным. Книга печатается по технологии принт-он-деманд после получения заказа.
ISBN: 978-6-1311-7050-8
Издательство:
Книга по требованию
Дата выхода: июль 2011