Asymptotic normality of generalized maximum spacing estimators for multivariate observations

In this paper, the maximum spacing method is considered for multivariate observations. Nearest neighbor balls are used as a multidimensional analogue to univariate spacings. A class of information-type measures is used to generalize the concept of maximum spacing estimators of model parameters. Asymptotic normality of these generalized maximum spacing estimators is proved when the assigned model class is correct, that is, the true density is a member of the model class.     

Starting Relationships with Neighbors After a Move Later in Life: An Exploratory Study

The authors examined eight personal and contextual conditions associated with starting new relationships with neighbors after short- and long-distance moves. A total of 625 Dutch movers and 1,936 non-movers (57–93 years old) were selected from the Longitudinal Aging Study Amsterdam. OLS linear regression analyses showed that short-distance movers mainly started relationships with neighbors when they did volunteer work. Long-distance movers who moved to rural areas and felt safe in their new neighborhood or moved to areas with lower priced homes also started new relationships with neighbors. Contextual conditions appear to play a larger role than personal ones, especially after long-distance moves.     

Sequential Estimation of Structural Models With a Fixed Point Constraint

This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze a local condition under which the nested pseudo likelihood (NPL) algorithm converges to a consistent estimator, and derive its convergence rate. We find that the NPL algorithm may not necessarily converge to a consistent estimator when the fixed point mapping does not have a local contraction property. To address the issue of divergence, we propose alternative sequential estimation procedures that can converge to a consistent estimator even when the NPL algorithm does not.     

节点集重要性测度——综合法及其在知识共享网络中的应用

在具有社会关系结构的经济系统及通讯网络系统等许多现实的系统中,人们经常关注节点集在系统中的重要性问题.在分析如何有效反映网络中节点集重要性的基础上,针对节点赋权网络,利用节点集删除的研究方法,建立节点集重要性的综合测度数学模型;然后,借助于图的距离矩阵的计算方法设计该模型的算法;最后,给出该方法在知识共享网中的应用.     

谈新世纪十年中国先锋诗歌写作的几种倾向

中国现代诗歌从诞生开始到现在已有九十多年的历史,在这九十年中正是一批又一批先锋诗人的努力,才使得中国新诗在变革中不断前进。进入新世纪以来,随着诗歌写作环境与历史背景的变化,出现了多次具有一定影响力的诗歌事件。本文借助对于＂先锋＂的定义,从底层写作、本土化写作、口语化写作等三个诗歌写作倾向,及其包含的＂底层诗歌写作＂、＂打工诗歌＂、＂草根诗歌＂、＂新古典主义＂、＂梨花体＂、＂下半身写作＂等六次影响巨大的诗歌事件进行分析,去探索当下诗歌写作中的先锋,对他们为中国现代诗歌发展所作的贡献予以肯定,同时也对伪先锋现象进行分析批判。在对十年诗歌史进行总体性的发掘、批判与反思中,更加客观地看待新世纪十年中国诗歌发展的现状,总结这十年诗歌史中的得与失、经验与教训,去探索中国现代诗歌可能的前进方向。     

Some Methods of Replacing the Nearest Neighbor Method

In this article, two classifiers, which generalize the nearest neighbor method, are introduced and studied. The first of them is based on calculating the distances to all objects from a learning sample. The second one additionally considers directions of the objects. Both of them have locally nonlinear classification borders. A number of real and artificial datasets and methods of error estimation are used.     

Minimal Neighbor Designs in Linear Blocks

Neighbor designs are useful to neutralize the neighbor effects. In literature, most of the constructed neighbor designs are in circular blocks but linear blocks have more practical application in field experiments. In this article, some infinite series of minimal neighbor designs are constructed in proper linear blocks. There are many situations where minimal neighbor designs cannot be constructed in proper linear blocks. To overcome this problem neighbor designs in improper linear blocks and GN₂-designs in proper linear blocks are constructed.     

A new test of discordancy in cylindrical data

ABSTRACT

Cylindrical data are bivariate data from the combination of circular and linear variables. However, up to now no work has been done on the detection of outlier in cylindrical data. We introduce a definition of outlier for cylindrical data and present a new test of discordancy to detect outlier in this type of data, based on the k-nearest neighbor’s distance. Cut-off points of the new test statistic based on the Johnson-Wehrly distribution are calculated and its performance is examined using simulation. A practical example is presented using wind speed and wind direction data obtained from the Malaysian Meteorological Department.     

Non binary partially neighbor balanced designs for circular blocks

ABSTRACT

Neighbor designs are recommended for the cases where the performance of treatment is affected by the neighboring treatments as in biometrics and agriculture. In this paper we have constructed two new series of non binary partially neighbor balanced designs for v = 2n and v = 2n+1 number of treatments, respectively. The blocks in the design are non binary and circular but no treatment is ever a neighbor to itself. The designs proposed here are partially balanced in terms of nearest neighbors. No such series are known in the literature.     

The distance random variable and its applications

This article presents and discusses the so-called distance random variable D¹ it's distributions and moments. α-density traces are introduced and the results of a simulation study are presented. The main assumption is that the underlying distributions are continuous.