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{{Regression bar}} |title=Quasi-Poisson vs. Negative Binomial Regression: How should we model overdispersed count data?|journal=Ecology|date=2007-01

वितरण फिटिंग की निम्नलिखित तकनीकें उपस्थित हैं:<ref>''Frequency and Regression Analysis''. Chapter 6 in: H.P.Ritzema (ed., 1994), ''Drainage Principles an

...n, The use of confidence or fiducial limits illustrated in the case of the binomial, Biometrika 26(4), 1934, pages 404–413, https://doi.org/10.1093/biomet/26 ...ive.org/web/20090404113030/http://www.danielsoper.com/statcalc/calc27.aspx Regression Intercepts]

{{Regression bar}} | [[binomial distribution|द्विपद]]

...उत्कृष्ट सन्निकटन होता है। {{r|NIST2006}} <math display="block">F_\mathrm{Binomial}(k;n, p) \approx F_\mathrm{Poisson}(k;\lambda=np)</math> [[File:Binomial versus poisson.svg|right|upright=1.5|thumb |पॉइसन वितरण

...ँ उत्कृष्ट सन्निकटन होता है।{{r|NIST2006}} <math display="block">F_\mathrm{Binomial}(k;n, p) \approx F_\mathrm{Poisson}(k;\lambda=np)</math> [[File:Binomial versus poisson.svg|right|upright=1.5|thumb |पॉइसन वितरण