This book proposes some novel models based on the autoregressive and moving average structures under various distributional assumptions of the innovation series for analysing non-stationary bivariate time series of counts. A useful resource for scholars, researchers and academics in the field of time series models.
Read More
This book proposes some novel models based on the autoregressive and moving average structures under various distributional assumptions of the innovation series for analysing non-stationary bivariate time series of counts. A useful resource for scholars, researchers and academics in the field of time series models.
Read Less
