数字平均法的误差分析

文章针对以前提出的声时测量中的随机数字平均技术，给出了其理论依据，详细讨论了误差的大小，并利用概率统计理论进行了论证。同时，文中还提出均匀延时数字平均技术。在实际应用中，对该类仪器的测量误差的估计和测量次数的选取以及这类仪器的设计有着重要的指导作用。     

Stress Heterogeneity Effect on the Strength of Silicon Nitride

The experiments reported in this paper demonstrate the causes of the failure of monolithic ceramics. The specimens are made of silicon nitride and tested at room temperature. The stress field within the specimen is different for each of four series of tests that have been conducted. Fractographic observations have also been made to identify the causes of the failures. A size effect analysis is performed.     

Prediction of fire classification for wood based products. A multivariate statistical approach based on the cone calorimeter

Wood has long traditions as a building material, and is often used in construction elements, and as interior and exterior surfaces in the Nordic countries. In most applications, there are reaction to fire requirements to products used as surfaces, e.g. in escape routes and larger public spaces. Most wood products will therefore have to be treated with fire retardant (FR) agents to fulfil the strict requirements to properties connected to heat release and flame spread. Unfortunately, FR agents usually also increase the smoke production, as they cause a more incomplete combustion of the wood. The wood product manufacturers seek to find the optimal amount of FR additives where both heat release and smoke production in the classifying test are within the requirements given in the building regulations. This paper describes models for prediction of the European reaction to fire classes of wood products. The models are based on multivariate statistical analysis, and use test results from the cone calorimeter test as input. The presented models are, with very good precision, able to predict which Euroclass and additional smoke class a wood based product would obtain if it were to be tested in the single burning item test. Copyright © 2006 John Wiley & Sons, Ltd.     

用数理统计方法判定检测下限

该文介绍如何用数理统计方法判定检测下限。     

Baseline assessment of metals and hydrocarbons in the sediments of Lake Mulwala, Australia

An assessment of hydrocarbon and metal/metalloids (arsenic, cadmium, copper, lead, mercury, selenium, zinc) contamination in sediments from Lake Mulwala, Australia, was undertaken. The objectives of the study were: (i) to determine the extent of contamination in the lake sediments, compared to Australian and international sediment quality guidelines, and (ii) to attempt to identify the contaminant sources to the lake. With the exception of a few samples containing elevated levels of arsenic and/or mercury, the levels of all contaminants in the sediment samples taken from the lake were below the ‘lower trigger’ of the Australian Sediment Quality Guidelines that would warrant further investigation. High molecular weight hydrocarbons (up to 700 mg kg⁻¹) were found in most sediment samples. Non‐metric statistical analysis indicated that the contaminant distribution was different in different parts of the lake, with the lowest concentrations generally found at the influent to the lake. No definitive source(s) of contamination could be identified for either metalloids or hydrocarbons.     

三次谐波系统混沌光场的光子统计特性

本文数值分析了三次谐波系统混沌光场的光子统计特性，从混沌态的遍历性出发计算了基波和谐波光场的Haken因子，得出混沌光场是一种大涨落的光场，其光子统计服从Super-Poisson分布，光场涨落随系统奇怪吸引子分维数增大而变化。     

基于主元分析的多变量统计过程的故障辨识技术

为了更好的进行故障检测与诊断，介绍了主元分析理论，给出了基于主元分析的过程故障辨识机理及策略。仿真实例表明，利用此方法建立的故障诊断模型，能够在不依赖过程机理的前提下高效抽取原始数据空间的主要变化信息，对过程的非正常变化做出反应，同时还能较正确地找出发生故障的原因以及相应环节。     

统计过程控制在制管质量控制中的应用

简要介绍了统计过程控制(简称SPC)的概念,分析了在制管质量控制中应用SPC的必要性.以埋弧焊接工序关键质量特性--焊缝内在质量的控制为例,阐述了螺旋埋弧焊管质量控制实施SPC的一般步骤和方法.借鉴国内部分企业实施SPC的成功经验,提出了制管企业质量管理中应用SPC应注意的问题.     

Mixture of probability distributions as a basic component in simulating measurement accuracy

A stochastic model is proposed for a basic mechanism in the formation of uncertainties in physical quantity measurements. __________ Translated from Izmeritel'naya Tekhnika, No. 1, pp. 12–17, January, 2006.     

Diagnosing item score patterns on a test using item response theory-based person-fit statistics.

Person-fit statistics have been proposed to investigate the fit of an item score pattern to an item response theory (IRT) model. The author investigated how these statistics can be used to detect different types of misfit. Intelligence test data were analyzed using person-fit statistics in the context of the G. Rasch (1960) model and R. J. Mokken's (1971, 1997) IRT models. The effect of the choice of an IRT model to detect misfitting item score patterns and the usefulness of person-fit statistics for diagnosis of misfit are discussed. Results showed that different types of person-fit statistics can be used to detect different kinds of person misfit. Parametric person-fit statistics had more power than nonparametric person-fit statistics. (PsycINFO Database Record (c) 2010 APA, all rights reserved)