EDF tests of goodness of fit for transform-both-sides models

Very often in regression analysis, a particular functional form connecting known covariates and unknown parameters is either suggested by previous work or demanded by theoretical considerations so that the deterministic part of the responses has a known form. However, the underlying error structure is often less well understood. In this case, the transform-both-sides (TBS) models are appropriate. In this paper we generalize the usual TBS models and develop tests to assess goodness of fit when fitting TBS or GTBS models. Parameter estimation is discussed, and tests based on the Cramér-von Mises statistic and the Anderson-Darling statistic are presented with a table suitable for finite-sample applications.     

《西北农林科技大学学报》70年发展史略

对《西北农林科技大学学报》创刊70年来的发展变迁历史进行了整理与回顾,简述了其创刊背景,并以其刊名变更为主线,将其发展过程分为初创与发行、确立与提高、稳定与发展、成熟与扩展4个阶段,对各个阶段的发展历史和特点进行了勾勒和分析,并对今后的发展目标进行了展望。     

认真学习贯彻十六大精神努力开创学校工作新局面

学习贯彻十六大精神,要自觉做到:把握住十六大报告的灵魂,把握十六大报告的科学内涵,把握住十六大确定的奋斗目标,把握好思想路线之精髓,把握好前进的方向,把握住13年来的基本经验,从而开创新疆大学各项工作新局面。     

小康社会面面观

依据十六大精神 ,从小康社会的由来及概念入手 ,对小康生活划分的标准和中国小康社会现状进行理性分析 ,同时对小康社会的发展目标作了具体论证 ,由此进一步分析了全面建设小康社会所必备的几个条件 :政治思想保障、体制与物质保障、创新通行证等     

美国的P-16教育运动及启示

P-16教育是一种从儿童早期一直延伸到四年大学程度的连贯的教育制度,是对美国现状做出的教育组织结构上的反应。P-16强调学生学习的连续性,强调各个教育阶段的联系而不是隔离。P-16有其自身强调的教育目标和重点,要实现这些目标并展现出这些特点,需要强调一些因素并克服一些障碍。P-16教育运动对我国教育改革与发展具有借鉴意义。     

浅论全面建设小康社会对党的建设的新要求

全面建设小康社会涉及全体人民政治、经济、文化等各方面利益的调整 ,是一项艰巨而又伟大的事业 ,这对党的建设提出了更高要求。文章以“十六大”精神为指导 ,从四个方面阐述了加强和改善党的建设的思路。     

The effect of mixing-distribution misspecification in conjugate mixture models

Parametric mixture models are commonly used in the analysis of clustered data. Parametric families are specified for the conditional distribution of the response variable given a cluster-specific effect, and for the marginal distribution of the cluster-specific effects. This latter distribution is referred to as the mixing distribution. If the form of the mixing distribution is misspecified, then Bayesian and maximum-likelihood estimators of parameters associated with either distribution may be inconsistent. The magnitude of the asymptotic bias is investigated, using an approximation based on infinitesimal contamination of the mixing distribution. The approximation is useful when there is a closed-form expression for the marginal distribution of the response under the assumed mixing distribution, but not under the true mixing distribution. Typically this occurs when the assumed mixing distribution is conjugate, meaning that the conditional distribution of the cluster-specific parameter given the response variable belongs to the same parametric family as the mixing distribution.     

学习贯彻十六大精神,全面开创民族高等教育发展的新局面

文章全面概括了十六大的新结论和十六大精神 ,分析了民族高等教育面临的形势和任务 ,系统论述了民族院校改革和发展过程中的一系列基本问题 ,提出以十六大精神为指导 ,在新起点上 ,全面开创云南民族学院发展的新局面。     

Rate of strong uniform convergence of k-NN density estimates

Let f_n(x) be the univariate k-nearest neighbor (k-NN) density estimate proposed by Loftsgaarden and Quesenberry (1965). By using similar techniques as in Bahadur's representation of sample quantiles (1966), and by the recent results on the oscillation of empirical processes by Stute (1982), we derive the rate of strong uniform convergence of f_n(x) on some suitably chosen interval J_δ. Some comparison with the kernel estimates is given, as well as the choice of the bandwidth sequence relative to the sample size.     

Non-parametric recursive estimates of a probability density function and its derivatives

Recursive estimates of a probability density function (pdf) are known. This paper presents recursive estimates of a derivative of any desired order of a pdf. Let f be a pdf on the real line and p?0 be any desired integer. Based on a random sample of size n from f, estimators f^(p)_n of f^(p), the pth order derivatives of f, are exhibited. These estimators are of the form $\text{n}{}^{\mathrm{?1}}\text{∑n}\text{j=1}\text{δ}{}_{\mathrm{jp}}$, where δ_jp depends only on p and the jth observation in the sample, and hence can be computed recursively as the sample size increases. These estimators are shown to be asymptotically unbiased, mean square consistent and strongly consistent, both at a point and uniformly on the real line. For pointwise properties, the conditions on f^(p) have been weakened with a little stronger assumption on the kernel function.