Inference in Targeted Group‐Sequential Covariate‐Adjusted Randomized Clinical Trials

This article is devoted to the construction and asymptotic study of adaptive, group‐sequential, covariate‐adjusted randomized clinical trials analysed through the prism of the semiparametric methodology of targeted maximum likelihood estimation. We show how to build, as the data accrue group‐sequentially, a sampling design that targets a user‐supplied optimal covariate‐adjusted design. We also show how to carry out sound statistical inference based on such an adaptive sampling scheme (therefore extending some results known in the independent and identically distributed setting only so far), and how group‐sequential testing applies on top of it. The procedure is robust (i.e. consistent even if the working model is mis‐specified). A simulation study confirms the theoretical results and validates the conjecture that the procedure may also be efficient.     

A weighted polynomial regression method for local fitting of spatial data

Typically, parametric approaches to spatial problems require restrictive assumptions. On the other hand, in a wide variety of practical situations nonparametric bivariate smoothing techniques has been shown to be successfully employable for estimating small or large scale regularity factors, or even the signal content of spatial data taken as a whole.We propose a weighted local polynomial regression smoother suitable for fitting of spatial data. To account for spatial variability, we both insert a spatial contiguity index in the standard formulation, and construct a spatial-adaptive bandwidth selection rule. Our bandwidth selector depends on the Gearys local indicator of spatial association. As illustrative example, we provide a brief Monte Carlo study case on equally spaced data, the performances of our smoother and the standard polynomial regression procedure are compared.This note, though it is the result of a close collaboration, was specifically elaborated as follows: paragraphs 1 and 2 by T. Sclocco and the remainder by M. Di Marzio. The authors are grateful to the referees for constructive comments and suggestions.     

从语境角度看语法化的语用本质

实词在具体的语境中演化为虚词从而引起语篇、句法和形态结构的紧缩或简化。我们称这种现象为“语法化”。本文支持“语法化本质是语用法的规约化”的观点，试图从语境的角度，利用英汉两种语料，对这一观点加以阐释。并设想了此视角会在语言教学及跨语言理论研究方面的可能贡献。     

Shift-Share Analysis with Spatial Structure: an Application to Italian Industrial Districts

Shift-share analysis is a well-known and widely used tool for spatial data analysis, though it presents some weaknesses and limitations. In this paper we aim to extend this technique by introducing a spatial structure in the particular case of Italian industrial districts. This extension is possible due to the use of enterprise legal status, together with activity information, available on the Italian Register of Businesses at the Chambers of Commerce. As far as spatial analysis is concerned, in this work we give a more precise territorial meaning to the theoretical concept of neighbourhood.     

Households and Territory. The Location of the Population of Rome in Relation to Housing Supply Characteristics

This study forms part of a general programme of research aimed at evaluating the quality of life in Rome. In particular, we have wished to analyse the way in which housing quality, measured with indicators of housing structure and utilization, intersects with the quality of urban livability, measured here only with indicators of social background, homogeneity and hardship referring to subjects living in the individual segments of the city. Groups of territorial areas, homogeneous by housing typology, were identified using multivariate data analysis and it was thus shown how particular typologies of household respond to this supply. From this emerged a particular model of development of the city in concentric bands, within which the originally differentiated households have tended over time to assume homogeneous characteristics.     

汉英移就的形成机制与认知阐释

移就是一种超乎常规的语言变异现象,是对词语搭配的创造性运用。这种搭配表面上违反常规、悖于情理,但在具体的语言环境中却有恰到好处、新颖别致的作用。本文探讨了汉英移就的形成理据,并从概念合成理论的视角,对汉英移就中的三种跨空间映射进行了分析,进一步深化对移就意义建构的认识。     

Empirical and rank processes of observations and residuals

Empirical and rank processes of a sample are shown to converge under weak conditions. These results are then extended to analogous empirical and rank processes formed from the residuals of a linear model. Representations of the limiting processes are obtained by means of a special construction. The technicalities are honed to require few regularity conditions.