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Both extensions use the grossone-model of infinity. The first of the two distributions we study is uniform and assigns masses<jats:inline-formula><jats:alternatives><jats:tex-math>$$1\/\\textcircled {1}$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mn>1<\/mml:mn><mml:mo>\/<\/mml:mo><mml:menclose><mml:mn>1<\/mml:mn><\/mml:menclose><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>to all points in the set<jats:inline-formula><jats:alternatives><jats:tex-math>$$ \\{0,1,\\ldots ,\\textcircled {1}-1\\}$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mo>{<\/mml:mo><mml:mn>0<\/mml:mn><mml:mo>,<\/mml:mo><mml:mn>1<\/mml:mn><mml:mo>,<\/mml:mo><mml:mo>\u2026<\/mml:mo><mml:mo>,<\/mml:mo><mml:menclose><mml:mn>1<\/mml:mn><\/mml:menclose><mml:mo>-<\/mml:mo><mml:mn>1<\/mml:mn><mml:mo>}<\/mml:mo><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>, where<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\textcircled {1}$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:menclose><mml:mn>1<\/mml:mn><\/mml:menclose><\/mml:math><\/jats:alternatives><\/jats:inline-formula>denotes the grossone. For this distribution, we study the problem of decomposing a random variable<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\xi $$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mi>\u03be<\/mml:mi><\/mml:math><\/jats:alternatives><\/jats:inline-formula>with this distribution as a sum<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\xi {\\mathop {=}\\limits ^\\mathrm{d}} \\xi _1 + \\cdots + \\xi _m$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mi>\u03be<\/mml:mi><mml:mover><mml:mo>=<\/mml:mo><mml:mi>d<\/mml:mi><\/mml:mover><mml:msub><mml:mi>\u03be<\/mml:mi><mml:mn>1<\/mml:mn><\/mml:msub><mml:mo>+<\/mml:mo><mml:mo>\u22ef<\/mml:mo><mml:mo>+<\/mml:mo><mml:msub><mml:mi>\u03be<\/mml:mi><mml:mi>m<\/mml:mi><\/mml:msub><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>, where<jats:inline-formula><jats:alternatives><jats:tex-math>$$\\xi _1 , \\ldots , \\xi _m$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:msub><mml:mi>\u03be<\/mml:mi><mml:mn>1<\/mml:mn><\/mml:msub><mml:mo>,<\/mml:mo><mml:mo>\u2026<\/mml:mo><mml:mo>,<\/mml:mo><mml:msub><mml:mi>\u03be<\/mml:mi><mml:mi>m<\/mml:mi><\/mml:msub><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>are independent non-degenerate random variables. Then, we develop an approximation for the probability mass function of the binomial distribution Bin<jats:inline-formula><jats:alternatives><jats:tex-math>$$(\\textcircled {1},p)$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mo>(<\/mml:mo><mml:menclose><mml:mn>1<\/mml:mn><\/mml:menclose><mml:mo>,<\/mml:mo><mml:mi>p<\/mml:mi><mml:mo>)<\/mml:mo><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>with<jats:inline-formula><jats:alternatives><jats:tex-math>$$p=c\/\\textcircled {1}^{\\alpha }$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mi>p<\/mml:mi><mml:mo>=<\/mml:mo><mml:mi>c<\/mml:mi><mml:mo>\/<\/mml:mo><mml:msup><mml:menclose><mml:mn>1<\/mml:mn><\/mml:menclose><mml:mi>\u03b1<\/mml:mi><\/mml:msup><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>with<jats:inline-formula><jats:alternatives><jats:tex-math>$$1\/2&lt;\\alpha \\le 1$$<\/jats:tex-math><mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><mml:mrow><mml:mn>1<\/mml:mn><mml:mo>\/<\/mml:mo><mml:mn>2<\/mml:mn><mml:mo>&lt;<\/mml:mo><mml:mi>\u03b1<\/mml:mi><mml:mo>\u2264<\/mml:mo><mml:mn>1<\/mml:mn><\/mml:mrow><\/mml:math><\/jats:alternatives><\/jats:inline-formula>. The accuracy of this approximation is assessed using a numerical study.<\/jats:p>","DOI":"10.1007\/s00500-020-05190-2","type":"journal-article","created":{"date-parts":[[2020,7,22]],"date-time":"2020-07-22T13:03:57Z","timestamp":1595423037000},"page":"17517-17524","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Discrete uniform and binomial distributions with infinite support"],"prefix":"10.1007","volume":"24","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5634-5559","authenticated-orcid":false,"given":"Andrey","family":"Pepelyshev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anatoly","family":"Zhigljavsky","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,22]]},"reference":[{"key":"5190_CR1","volume-title":"A primer on statistical distributions","author":"N Balakrishnan","year":"2004","unstructured":"Balakrishnan N, Nevzorov V (2004) A primer on statistical distributions. 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