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Abstract
A first-order random coefficient binomial AR process with dependent counting series is introduced. We derive some basic properties of the process. Conditional least squares, weighted conditional least squares and conditional maximum likelihood methods are employed to estimate the parameters of the process. Some asymptotic properties are established. Numerical results of the estimators are studied to assess the performances. An example is provided for practical application.
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