2 2 2 (Poisson Distribution) P (y = j) = e λ λ j λ > 0, j = 0, 1, 2... j! j! j E(y) = V ar(y) = λ λ y x λ = λ(x iβ) f(y i x iβ) = exp( exp(x i β)) exp
全文
関連したドキュメント
Since locally closed functions with all point inverses closed have closed graphs [2], (c) implies
For any prime number p, we shall construct a real abelian extension k over Q of degree p such that the Iwasawa module associated with the cyclotomic Z p -extension k ∞ /k is finite
Our binomial distribution model for frequency graphs is to consider picking for each set of four vertices A, B, C, D in K n a total order on the sums of the distances AD + BC, AB +
We provide an accurate upper bound of the maximum number of limit cycles that this class of systems can have bifurcating from the periodic orbits of the linear center ˙ x = y, y ˙ =
In the second section, we study the continuity of the functions f p (for the definition of this function see the abstract) when (X, f ) is a dynamical system in which X is a
It is natural to conjecture that, as δ → 0, the scaling limit of the discrete λ 0 -exploration path converges in distribution to a continuous path, and further that this continuum λ
We study a Neumann boundary-value problem on the half line for a second order equation, in which the nonlinearity depends on the (unknown) Dirichlet boundary data of the solution..
Theorem 3.5 can be applied to determine the Poincar´ e-Liapunov first integral, Reeb inverse integrating factor and Liapunov constants for the case when the polynomial