出版社：Canadian Research & Development Center of Sciences and Cultures
摘要：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.
其他摘要：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.
关键词：R/S analysis method;Television audience rating;Hurst index
