Sri Lankan tourism market consists all regions of the world. The Asian region is the highest tourist producer to Sri Lankan market. Short term forecasting plays a vital role in the process of operational level decision making in the tourism industry. It is a known fact that the expectations of...

The purpose of this study is to select the most accurate time series model for forecasting international tourist arrivals to Sri Lanka and generate short-term forecasts that add some benefits for policy makers and decision makers in both the public and private tourism sectors in Sri Lanka....

The paper employs a spike-and-slab technique to select Google Trends categories into an augmented autoregressive model to nowcast Sri Lanka’s consumer confidence. The paper then examines the benefits of incorporating Google Trends data in predicting consumer confidence in Sri Lanka: i....

The Circular Model (CM) is a newly joined member to the family of Univariate Statistical Models. Development of the CM was based on; Newton’s Law of Circular Motion, Fourier Transformation and Multiple Regression Analysis. Most important property of the CM is that; the model could be applied...

The forecasting occupancy guest nights is an essential discipline in Marketing Strategy, Yielding across various channels, purchase decisions, expansion plans and various decisions about staffing and hotel maintenance in tourist hotels. Colombo city and Greater Colombo is the highest regions of...

Over the past years, tourist arrivals to Sri Lanka show increasing trend. Hill Country is one of the highest occupied regions which are located in the Central province of Sri Lanka. Hill country consist many UNESCO world heritage sites namely; Kandy city, Knuckles Mountain Range, Adam's Peak and...

This paper proposes diagnostics to assess the accuracy of survey-to-survey imputation methods and applies them to examine why imputing from the Household Income and Expenditure Survey into the Labor Force Survey fails to accurately project poverty trends in Sri Lanka between 2006 and 2009....