non-poisson model
1Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… …
2Model selection — is the task of selecting a statistical model from a set of candidate models, given data. In the simplest cases, a pre existing set of data is considered. However, the task can also involve the design of experiments such that the data collected is …
3Poisson-zèbre — Poisson zèbre …
4Poisson pyjama — Poisson zèbre Poisson zèbre …
5Poisson zebre — Poisson zèbre Poisson zèbre …
6Poisson regression — In statistics, Poisson regression is a form of regression analysis used to model count data and contingency tables. Poisson regression assumes the response variable Y has a Poisson distribution, and assumes the logarithm of its expected value can …
7Poisson zèbre — Danio rerio …
8Non-critical string theory: Lorentz invariance — Usually non critical string theory is considered in frames of the approach proposed by Polyakov [1]. The other approach has been developed in [2] [3] [4]. It represents a universal method to maintain explicit Lorentz invariance in any quantum… …
9Conway–Maxwell–Poisson distribution — Conway–Maxwell–Poisson parameters: support: pmf: cdf …
10Conway-Maxwell-Poisson distribution — Probability distribution name =Conway Maxwell Poisson pdf cdf type =density parameters =lambda > 0, u geq 0 support =x in {0,1,2,dots} pdf =frac{lambda^x}{(x!)^ u}frac{1}{Z(lambda, u)} cdf =sum {i=0}^x mathbb{P}(X = i) mean =sum {j=0}^infty… …
