The paper introduces a new autoregressive model of order one for time seriesof counts. is comprised linear as well bilinear component. These two components are governed by random coefficients. autoregression achieved using the negative binomial thinning operator. method moments and conditional maximum likelihood discussed parameter estimation. practicality presented on real data set.