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We develop a mixture procedure to monitor parallel streams of data for a change-point that causes gradual change of a subset of data streams. We model the gradual change as a change in the trends of the affected data streams. Observations are assumed initially to be independent standard normal random variables with zero mean. After a change-point the observations in a subset of the streams of data...
From the perspective of users, the current paper mainly studied users' acceptance behavior for mobile commerce based on Customer Perceived Value (CPV) and Technology Acceptance Model (TAM). In this article the research model was established and the empirical analysis was carried out with the selected interviewers. Research found out that all the factors of CPV, except Perceived Ease of Use, have remarkable...
This paper reports a web-based Problem Solving Environment (PSE) system to consider models for human choice behavior. This system collects behavioral data which human subjects chose facilities. Using this system, they choose a facility according to the information such as congestion level for the facility they chose in the previous turn. We examine several models to simulate behaviors of human choice...
We present a time-varying fractional autoregressive integrated moving average model and the methodology to fit this model to a non-stationary time series with local stationarity. Our experiments illustrate that the proposed model is able to capture the non-stationarity of traffic with time-varying parameters. An application to Internet traffic data is presented.
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