韶钢钢材化学成分特点及其对力学性能的影响

对４０炉韶钢钢材基本数据统计分析表明：韶钢钢材化学成分具有粤北大宝山等共生铁矿资源特色，一些低熔点元素和铜含量较高，统计分析导出了成分、组织与性能之间的回归关系式可供生产部门借鉴。     

标题新闻

广东韶钢松山股份有限公司的“韶钢牌”钢材商标荣获广东省著名商标称号.     

钢材综合成材率的实现原理及应用

分析了钢材综合成材率的定义及韶钢轧钢生产的实际情况,结合《班组经济核算信息系统》平台的开发,介绍了钢材综合成材率在韶钢班组经济核算信息系统中的开发背景、计算原理、实现方法及应用效果．     

钢材称重打标计量管理系统在韶钢的应用

1前言为规范韶钢钢材的集中管理和销售,确保计量数据“数出一门,量出一家”树立计量数据管理的权威性,提高市场竞争力和减少计量异议,韶钢在全公司实施了计量数据采集管理系统,在实施此系统过程中,对各轧钢厂采用了钢材称重打标计量管理系统。钢材称重打标计量管理系统是计量数     

理化检测数据的多元回归分析

结合韶钢实际情况,开发了理化检测数据多元回归分析计算机应用程序.此程序可定量分析钢材机械性能与化学成分之间的关系,为质量管理者提供了一种有力的质量分析工具.     

韶钢的能耗现状及今后的节能措施

通过对韶钢能耗的统计分析，简述了影响韶钢能耗的主要原因，并提出了今后的节能措施。     

韶钢质量检测网络系统的开发

介绍质最检测网络系统的开发，该系统用于韶钢物资检化验和钢材质量判定业务．     

韶钢上半年生产势头良好

韶钢上半年生产势头良好上半年，广东韶钢集团公司生产势头良好，生产钢３９．８６万ｔ、生铁３２．４９万ｔ、钢材３９．５４万ｔ，分别比去年同期增长２０％，１６％和２２％。今年以来，韶钢在资金紧张、钢材价格下滑的情况下，坚持练内功挖潜力，加强内部管理，优化品...     

韶钢钢材筑起中马友谊大桥

<正>截至2017年5月份,宝武集团广东韶关钢铁有限公司已向中马友谊大桥供应钢材1.6万t。这是韶钢积极参加"一带一路"建设、深化合作交流、增进经贸往来的成果。中马友谊大桥是韶钢钢材最有代表性的直供"一带一路"基础设施建设项目之一。马尔代夫是古代海上丝绸之路的重要驿站,扼守要道,联通八方。中马友谊大桥位于马累岛到机场岛之间的走廊地带,全长     

韶钢130 t双工位LF精炼炉工艺研究

韶钢拥有2座130 t双工位LF精炼炉,自投产以来通过不断优化脱氧造渣、夹杂物控制、脱硫、Ca处理、软吹等工艺,成功开发了轴承钢、齿轮钢、合金结构钢等特种钢材,产品质量得到了广大客户的认可.     

Some issues in the measurement-statistics controversy.

Discusses some problems generated by S. S. Stevens's (1946) pronouncement that measurement scales (nominal, ordinal, interval, ratio) determine specific statistical procedures. It is argued that the Stevens approach may lead to the introduction of irrelevant empirical considerations within conclusions emanating from a statistical analysis. Such pronouncements are faced with certain logical inconsistencies. Within a statistical analysis there are different contexts or levels of number analysis of different scale nature; yet these differences are not considered in the Stevens approach. The Stevens admonitions can impede progress with theoretical and/or empirical problems, as illustrated by an example from intelligence measurement research. (French abstract) (21 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Development of Data Sheets for Statistical Evaluation of Fatigue Data

  Instructions were developed for statistical analysis of the laboratory fatigue data step by step. Practical cases for solving several questions raised in the treatment of test data, which involved estimation of necessary sample size, verification of the statistical equivalence of the collated sets of data, and determination of characteristic curves in different cases, were given by using the methods and formulae in the document IIW XIII 2138 06 (best practice guide on the statistical analysis of fatigue data) as a demonstration of various statistical methods of developing a sound procedure for creating reliable calculation rules for the fatigue analysis.     

Roaming through methodology. III. Randomization at the level of the physicians

In some studies randomization at the patient level is not possible; randomization at the doctor's level can then be applied. However, statistical analysis at the level of the individual patient data can lead to wrong conclusions in such a study design. By basing the analysis on the averages per doctor a statistical test can be performed which guarantees the correct significance level. The correct sample size can be found by means of a correction factor that depends on the variation between the doctors. The data of a study with randomization at the doctor's level can be analysed in a more sophisticated way by means of so-called 'mixed models' that take account of possible variation between doctors.     

冶金焦炭强度测定标准的实施与探讨

分析了冶金焦炭机械强度新标准在宝钢的实施情况，并通过对新标准ＧＢ／Ｔ２００６－９４实施至今的１００多组生产数据的统计分析，探讨了各焦炭强度指标之间的相互关系。     

Increasing the efficiency of the desulfurization of structural steel for gas- and oil-main pipelines

The main laws of refining Kh70 structural steel melted according to standard ASTME 45-97 are studied by statistical analysis.     

因素分析法在铸造业经济技术指标分析中的应用探讨

本文力图采用统计学原理中的因素分析法，对铸造业一些特有的经济技术指标举例进行动态分析。以利于企业举一反三，通过经济运行指标的动态分析，不断改进工作。     

A reconsideration of the Kety and associates study of genetic factors in the transmission of schizophrenia

The author reviews a study by Kety and associates that reported a significantly greater prevalence of schizophrenic spectrum disorders among the biological relatives of schizophrenic adoptees than among those of nonschizophrenic adoptees. The principal statistical analysis of the Kety study used an incorrect sample size (306 rather than 66) and failed to weight each index and control case (family) equally. This violation of the independence assumption would allow a few families to disproportionately influence the outcome. The author argues that proper statistical analysis applied separately to available categories indicates that significant differences between the index and control groups occurred mainly in the half-sibling category; this result violates the principle that genetic effects increase with greater consanguinity. She concludes that Kety and associates' study raises more questions than it answers regarding the role of genetic factors in schizophrenia.     

连铸板坯内裂预测模型研究初探

在利用硫印图像自动判级系统得到的内裂定量化数据的基础上,结合连铸板坯内裂产生机理,对内裂进行了统计分析。结果表明,内裂的发生是有一定规律的,从预测板坯内裂的级别来说,开发预测模型是可行的。并以统计分析得到的一内裂预测模型作为实例进行了说明。     

基于统计规律的爆破优化实用模型

以矿山生产一个经济独立核算单位作为研究系统，分析了矿山爆破优化实用模型的一般形式和优化方法；以两个矿山实例分别介绍了以现场统计资料建模和用煤破破碎度方程建模，以及这两种基于统计分析建模方法的具体作法。     

The analysis of the EEG

The quantitative analysis of the electroencephalogram (EEG) relies heavily on methods of time series analysis. A quantitative approach seems indispensable for research (be it clinical or basic neurophysical research), but it can also be a useful information for purely clinical purposes. Apart from the ongoing spontaneous EEG, evoked potentials (EPs) also play an important role. They can be elicited by simple sensory stimuli or more complex stimuli. Their analysis requires methods which are different from those for the spontaneous EEG. Those methods operate usually in the time domain and offer many challenging problems to statisticians. Methods for analysing the spontaneous EEG usually work in the frequency domain in terms of spectra and coherences. Biomedical engineers who take care of the equipment are usually also trained in time series analysis. Thus, they have contributed much more to methodological progress for analysing EEGs and EPs, compared with statisticians. However, the availability of a sample of subjects, and the associated problems in modelling followed by an inferential analysis could make a larger influence from the statistical side quite profitable. This paper tries to give an overview of a fascinating area. In doing so we treat more extensively problems with some statistical appeal. This leads inevitably to some overlap with our own work.