Generalized time series analysis
One of the most important and challenging problems in time series modeling is to correctly forecast a particular time series by observing its distribution. This behavior of time series arises urgent need of developing generalized time series models for a particular statistical distribution. There exists a large number of applications in Computer Science Engineering, Civil Engineering, Environmental Engineering, Climatology, Ecological Statistics, Actuarial Science, and Management Studies etc. that lead to thousand of such models depending upon behavior of the time series under study. The unknowns of these real world problems can be depend on specific distribution. The literature suggest that distribution specific time series models give better forecasting than to apply conventional time series models for a time series distributed according to a particular type of distribution. For more information click here.