نتایج جستجو برای: poisson marginal model

تعداد نتایج: 2156888  

AR. Amirteimoori M. G. Chegini M. Mirzaei S. Kordrostami,

Trade-off reviews the rate of marginal substitution of inputs and outputs onto the efficient frontier. On the other hand, marginal rates of substitution (MRS) are important quantities for analysts and managers. In this paper, by changing the method of Asmild (2004), an algorithm is found that it can be used to calculate the marginal rate of the free disposal hull (FDH) model.

2004
Chris Field John Robinson Elvezio Ronchetti CHRIS FIELD JOHN ROBINSON ELVEZIO RONCHETTI

We consider tests or confidence intervals on one of the components of multivariate M-estimates. We obtain marginal tail area approximations for the one-dimensional test statistic based on the appropriate component of the M-estimate for both standardized and Studentized versions. The result is proved under conditions which allow the application to finite sample situations such as the bootstrap a...

1998
Siddhartha Chib Edward Greenberg Rainer Winkelmann

This paper is concerned with the problems of posterior simulation and model choice for Poisson panel data models with multiple random effects. Efficient algorithms based on Markov chain Monte Carlo methods for sampling the posterior distribution are developed. A new parameterization of the random effects and fixed effects is proposed and compared with a parameterization in common use, and compu...

2009
MANUEL ARELLANO

This supplementary appendix contains proofs of some results contained in the paper. Specifically, Section S1 provides proofs of Theorem 4 and its corollary, concerning the asymptotic distribution of flexible random effects estimators. Section S1 also proves Theorem 5, its corollary, and Theorem 6 concerning the bias and the asymptotic distribution of estimated marginal effects. Section S2 prove...

2015
Maria Lomeli Stefano Favaro Yee Whye Teh

This paper concerns the introduction of a new Markov Chain Monte Carlo scheme for posterior sampling in Bayesian nonparametric mixture models with priors that belong to the general Poisson-Kingman class. We present a novel compact way of representing the infinite dimensional component of the model such that while explicitly representing this infinite component it has less memory and storage req...

2011
Wenyue Ding

In this paper we introduce a correlated input process model SSMP (Special Semi-Markov Process) for telecommunication networks. Many other models, including the two-state Markov modulated Poisson process MMPP(2), separately treated in the literature are shown to be special cases. The SSMP can be applied for directly modeling discrete-time input processes which are important for the future broadb...

2008
Lukasz Grzybowski Pedro Pereira L. Grzybowski P. Pereira

This article assesses the unilateral effects on prices of a merger in the Portuguese mobile telephony market. We use aggregate quarterly data from 1999 to 2005 and a nested logit model to estimate the price elasticities of demand and the marginal costs of subscription of mobile telephony. Given these estimates, we simulate the effects of the merger. We find that the available mobile telephony s...

Journal: :ISPRS Int. J. Geo-Information 2016
Byeongsuk Ji Youngmin Lee Kiyun Yu Pil Kwon

Various themed streets have recently been developed by local governments in order to stimulate local economies and to establish the identity of the corresponding places. However, the motivations behind the development of some of these themed street projects has been based on profit, without full considerations of people’s perceptions of their local areas, resulting in marginal effects on the lo...

2008
EMMANUEL GOBET

In this work, we approximate a diffusion process by its Euler scheme and we study the convergence of the density of the marginal laws. We improve previous estimates especially for small time.

2011
Gert de Cooman Enrique Miranda

Consider a finite number of variables Xn, n ∈ N, in the respective finite sets Xn. For R ⊆ N, we denote by XR the tuple of variables that takes values in the Cartesian product XR := ×r∈RXr. We denote by G (XR) the set of gambles on XR. Suppose DN ⊆ G (XN) models a subject’s beliefs about XN, Marginalisation. The corresponding beliefs about the variable XO, where O⊆ N, are given by the marginal ...

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