[Asmussen, S., Glynn, P.W. (2007). Stochastic Simulation: Algorithms and Analysis. New York: Springer-Verlag. ]Search in Google Scholar
[Biswas, A., Song, P. (2009). Discrete-valued ARMA processes. Statistics and Probability Letters 79, 1841-1889.10.1016/j.spl.2009.05.025]Search in Google Scholar
[Cameron, A.C., Trivedi, P.K. (2001). Essentials of Count Data Regression. In: A companion to theoretical econometrics (pp. 331-348). Oxford: Blackwell.]Search in Google Scholar
[Cameron, A.C., Trivedi, P.K. (2005). Microeconometrics. Methods and Applications. Cambridge University Press.10.1017/CBO9780511811241]Search in Google Scholar
[Cameron, A.C., Trivedi. P.K. (1998). Regression Analysis of Count Data. Econometric Society Monograph No. 30. Cambridge University Press.10.1017/CBO9780511814365]Search in Google Scholar
[Domański, C. (1990). Testy statystyczne. Warszawa: PWE. ]Search in Google Scholar
[Hilbe, J.M. (2011). Negative Binomial Regression. Second Edition. Cambridge University Press.]Search in Google Scholar
[Hilbe, J.M. (2014). Modeling count data. Cambridge University Press.10.1017/CBO9781139236065]Search in Google Scholar
[Taleb, N.N. (2001). Fooled by Randomness. The Hidden Role of Chance in the Markets and in Life. New York-London: Texere.]Search in Google Scholar
[Shukur, G., Doszyń, M., Dmytrów, K. (2017). Comparison of the Effectiveness of Forecasts Obtained by Means of Selected Probability Functions with Respect to Forecast Error Distributions. Communications in Statistics. Simulation and Computation, 46 (5), 3667-3679. DOI: 10.1080/03610918.2015.1100734.10.1080/03610918.2015.1100734]Search in Google Scholar
[Winkelmann, R. (2008). Econometric Analysis of Count Data. Berlin, Heidelberg: Springer-Verlag.]Search in Google Scholar
[Yang, M. (2012). Statistical models for count time series with excess zeros. University of Iowa.]Search in Google Scholar