%0 Journal Article
%T The Study on Fractal Characteristics of Television Audience Ratings Based on R/S Analysis Method
%J -
%D 2015
%R http://dx.doi.org/10.3968/7300
%X According to the nonlinear distribution of Television Audience ratings data, a fractal dimension study on average daily television audience ratings of three TV stations based on R/S analysis method. Results show that the Hurst index of time series is significantly greater than 0.5 and there is a trend of long-term memory; All the time series is significantly different in the non-periodic cycles length and offer explanation from the perspective of three Television stations¡¯ characteristics of development. This method can help television managers realize the viewing situation, master the change rule and help advertisers make a scientific decision.
%K R/S analysis method
%K Television audience rating
%K Hurst index
%U http://cscanada.net/index.php/mse/article/view/7300