Modeling censored data using modified lambda family

In the present article we propose the modified lambda family (MLF) which is the Freimer, Mudholkar, Kollia, and Lin (FMKL) parametrization of generalized lambda distribution (GLD) as a model for censored data. The expressions for probability weighted moments of MLF are derived and used to estimate the parameters of the distribution. We modified the estimation technique using probability weighted moments. It is shown that the distribution provides reasonable fit to a real censored data.     

美国联邦官僚系统的自主性和政治控制

在美国的多元政治体制下,其联邦官僚系统保持着一定程度的自主性。与之同时,又接受着来自国会、总统和社会利益集团等多种政治主体的影响和控制,形成"一仆二主"乃至"一仆多主"的现象。基于美国的民主原则,美国联邦官僚系统必须回应来自政治系统的意愿和利益要求,接受其监督,同时凭借自身的专业技术能力及其他职业性资源,又保持着相对独立性,呈现出美国政治中特有的政治行政关系结构和特征。     

Optimal control strategies for dividend payments and capital injections in compound Markov binomial risk model with penalties for deficits

We consider the compound Markov binomial risk model. The company controls the amount of dividends paid to the shareholders as well as the capital injections in order to maximize the cumulative expected discounted dividends minus the discounted capital injections and the discounted penalties for deficits prior to ruin. We show that the optimal value function is the unique solution of an HJB equation, and the optimal control strategy is a two-barriers strategy given the current state of the Markov chain. We obtain some properties of the optimal strategy and the optimal condition for ruining the company. We offer a high-efficiency algorithm for obtaining the optimal strategy and the optimal value function. In addition, we also discuss the optimal control problem under a restriction of bounded dividend rates. Numerical results are provided to illustrate the algorithm and the impact of the penalties.     

The Kumaraswamy GEV distribution

The popular generalized extreme value (GEV) distribution has not been a flexible model for extreme values in many areas. We propose a generalization – referred to as the Kumaraswamy GEV distribution – and provide a comprehensive treatment of its mathematical properties. We estimate its parameters by the method of maximum likelihood and provide the observed information matrix. An application to some real data illustrates flexibility of the new model. Finally, some bivariate generalizations of the model are proposed.     

Rank repeated measures analysis of covariance

When analyzing a response variable at the presence of both factors and covariates, with potentially correlated responses and violated assumptions of the normal residual or the linear relationship between the response and the covariates, rank-based tests can be an option for inferential procedures instead of the parametric repeated measures analysis of covariance (ANCOVA) models. This article derives a rank-based method for multi-way ANCOVA models with correlated responses. The generalized estimating equations (GEE) technique is employed to construct the proposed rank tests. Asymptotic properties of the proposed tests are derived. Simulation studies confirmed the performance of the proposed tests.     

A stochastic procedure to solve linear ill-posed problems

In this work, we propose a stochastic procedure of Robbins–Monro type to resolve linear inverse problems in Hilbert space. We study the probability of large deviation between the exact solution and the approximated one and build a confidence domain for the approximated solution while precising the rate of convergence. To check the validity of our work, we give a simulation application into a deconvolution problem.     

Non parametric mixture of strictly monotone regression models

In this article, we propose the non parametric mixture of strictly monotone regression models. For implementation, a two-step procedure is derived. We further establish the asymptotic normality of the resultant estimator and demonstrate its good performance through numerical examples.     

Icons,Itinerary, and Identity: Associations of Boundary and Mobility within the Contemporary US Passport

Regulatory shifts in US border policy set in motion through implementation of the Western Hemisphere Travel Initiative are concurrent with recent formal and functional changes to the US passport. This article examines these modifications interweaving themes of boundary, mobility, and identity. The study focuses on the tripartite means by which the state employs the passport: as the primary affixer of national identity; as a mediator of contact and mobility across national boundaries; and as a mode for the projection of a certain territorial discourse to its citizenry and ‘others.’ These concepts are developed through an analysis of the narrative and iconic representations contained within the new book itself; material sources from government archives; as well as discussions and interviews with US State Department functionaries closely associated with the design and distribution of the new e-passport. Through the latter examination, a view is afforded into the process by which key state documents are crafted and an inherent tension revealed within an agency charged with establishing a particular unifying ‘brand’ for the preeminent instrument of national identification, whilst dutifully acknowledging the diverse constituency of a nation that historically fashions itself as one constructed from the many. In conclusion, the study suggests that the new passport is the handiwork of a plethora of state actors and a servant of many masters, for it is not only a facilitator of mobility and a vouchsafe for the identity of the bearer, but also, a tiny but significant piece of US property, itself an agent of border maintenance and boundary construction that enables the state to lay claim to its citizenry.