“…But this proposed discrete kernel is appropriate for categorical data and finite count distributions; see also Racine and Li (2004) for rf estimation with both categorical and continuous data. Therefore, recently the so-called discrete associated kernel method is largely developed by several authors; see, e.g., Kokonendji and Senga Kiessé (2011), Kokonendji, Senga Kiessé, and Balakrishnan (2009), Kokonendji et al (2007), Wansouwé, Kokonendji, and Kolyang (2015), Zougab, Adjabi, and Kokonendji (2012) and Zougab, Adjabi, and Kokonendji (2013a). Note that the semi-parametric estimation of pmf and count rf (crf) is also investigated, see for example Abdous, Kokonendji, and Senga Kiessé (2012) and Senga Kiessé, Zougab, and Kokonendji (2015).…”