Krahasoni metodat

	Regresioni logjik multinomial	Regresioni Poisson dhe Binomial Negativ
Fusha	Ekonometri	Ekonometri
Familja	Regression model	Regression model
Viti i origjinës	1974	1998
Krijuesi	McFadden	Cameron & Trivedi (textbook treatment); Hilbe (negative binomial)
Lloji	Multinomial logistic regression	Generalized linear model for count data
Burimi themelues	McFadden, D. (1974). Conditional Logit Analysis of Qualitative Choice Behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105-142). Academic Press. ISBN: 978-0127761503	Cameron, A. C. & Trivedi, P. K. (1998). Regression Analysis of Count Data. Cambridge University Press.
Emërtime të tjera	multinomial logistic regression, polytomous logistic regression, softmax regression, Çok Kategorili Lojistik Regresyon	count regression, log-linear count model, negative binomial regression, Poisson / Negatif Binom Regresyon
Të lidhura	5	4
Përmbledhja	Multinomial logistic regression is a maximum-likelihood method for a nominal (unordered) dependent variable with more than two categories. Building on McFadden's 1974 treatment of qualitative choice, it gives each category its own set of coefficients relative to a reference category.	Poisson regression is a generalized linear model for count outcomes — events tallied as non-negative integers such as hospital admissions, accidents, or article counts. It models the log of the expected count as a linear function of the predictors, and is developed in the standard count-data treatment of Cameron and Trivedi (1998); when the counts are over-dispersed, the closely related negative binomial model (Hilbe, 2011) is preferred.