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Time Series of Zero‐Inflated Counts and their Coherent Forecasting

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  • Raju Maiti
  • Atanu Biswas
  • Samarjit Das

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  • Raju Maiti & Atanu Biswas & Samarjit Das, 2015. "Time Series of Zero‐Inflated Counts and their Coherent Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(8), pages 694-707, December.
    • Handle: RePEc:wly:jforec:v:34:y:2015:i:8:p:694-707
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    Cited by:

    1. Wooi Chen Khoo & Seng Huat Ong & Biswas Atanu, 2022. "Coherent Forecasting for a Mixed Integer-Valued Time Series Model," Mathematics, MDPI, vol. 10(16), pages 1-15, August.
    2. Subhankar Chattopadhyay & Raju Maiti & Samarjit Das & Atanu Biswas, 2022. "Change‐point analysis through integer‐valued autoregressive process with application to some COVID‐19 data," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 76(1), pages 4-34, February.
    3. Manik Awale & N. Balakrishna & T. V. Ramanathan, 2019. "Testing the constancy of the thinning parameter in a random coefficient integer autoregressive model," Statistical Papers, Springer, vol. 60(5), pages 1515-1539, October.
    4. Raju Maiti & Atanu Biswas & Bibhas Chakraborty, 2018. "Modelling of low count heavy tailed time series data consisting large number of zeros and ones," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(3), pages 407-435, August.

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