摘要：Tourists’ get attracted towards India because of its diverse culture and geography. Apart from heritage and culture, the tourists from all over the world come here for various other purposes like medical, business, education and sports. The tourism industry of India is economically important and is growing rapidly. The tourism industry in India helps in the growth of other sectors like agriculture, small scale industries, self-employment, etc. This makes forecasting of tourists’ arrivals in India a prime focus of the government Forecasting is the process of making predictions of the future based on past and present data and analysis of trends. Tourism forecasting plays an important role in providing awareness and support for future development of the Indian tourism industry. In this paper, an attempt has been made to forecast tourists’ arrival using statistical time series modeling techniques with the help of secondary data.
关键词：Forecasting; Holt-Winter’s exponential smoothing model; ARIMA; Auto regression; Moving average
Loading...
