假设，检验统计量，显著水平，功效 两种假设下的统计检验 纽曼-皮尔森引理 如何构造一个检验统计量 Fisher甄别函数与神经网络

本章将以 SQL Server2000内置的“北风 (Northwind)数据库”为基础,为读者介绍如何 开发数据库查询程序、数据分页的技巧、动 态数据库查询、数据库查找对比的技巧等主 题,让您真正了解 SQL Server2000在企业网 站方面的运用

Origin 是 Microcal Software 公司推出的一个功能强大的数据分析/科学绘图软件， 作为 Windows 应用程序，具备了 Windows 所提供的诸多方便直观的特点，尤其适用 于那些经常进行大量数据处理及科学绘图的人员使用。现流行的版本为 2.8, 3.0, 3.5, 5.0, 6.0, 6.1, 6.1 版本的特色主要有： 1) 动态用户界面：计划组织；用计划管理器组织计划，对选择的窗口批处理

8.1 Explore some of the emerging technologies that may impact analytics, business intelligence (BI), and decision support 8.2 Describe the emerging Internet of Things (IoT) phenomenon, potential applications, and the IoT ecosystem 8.3 Describe the current and future use of cloud computing in business analytics 8.4 Describe how geospatial and location-based analytics are assisting organizations 8.5 Describe the organizational impacts of analytics applications 8.6 List and describe the major ethical and legal issues of analytics implementation 8.7 Identify key characteristics of a successful data science professional

7.1 Learn what Big Data is and how it is changing the world of analytics 7.2 Understand the motivation for and business drivers of Big Data analytics 7.3 Become familiar with the wide range of enabling technologies for Big Data analytics 7.4 Learn about Hadoop, MapReduce, and NoSQL as they relate to Big Data analytics 7.5 Compare and contrast the complementary uses of data warehousing and Big Data technologies 7.6 Become familiar with select Big Data platforms and services 7.7 Understand the need for and appreciate the capabilities of stream analytics 7.8 Learn about the applications of stream analytics

6.1 Understand the applications of prescriptive analytics techniques in combination with reporting and predictive analytics 6.2 Understand the basic concepts of analytical decision modeling 6.3 Understand the concepts of analytical models for selected decision problems, including linear programming and simulation models for decision support 6.4 Describe how spreadsheets can be used for analytical modeling and solutions 6.5 Explain the basic concepts of optimization and when to use them 6.6 Describe how to structure a linear programming model 6.7 Explain what is meant by sensitivity analysis, what-if analysis, and goal seeking 6.8 Understand the concepts and applications of different types of simulation 6.9 Understand potential applications of discrete event simulation

交叉层积木作为一种新型木建筑材料已经在北美地区推广开来,然而在我国还没有得到引进和推广.本文介绍了这种新型材料的性能特点,总结其生产工艺、设计方法和研究进展,重点对交叉层积木七种半刚性连接的抗震性能进行试验研究.研究表明:紧固件全部被拔出的失效模式为理想的延性破坏模式,滞回曲线表现出高度非线性、刚度退化、强度退化以及捏拢现象.通过试验数据分析,给出了在延性和承载能力两方面最佳的连接

5.1 Describe text mining and understand the need for text mining 5.2 Differentiate among text analytics, text mining, and data mining 5.3 Understand the different application areas for text mining 5.4 Know the process of carrying out a text mining project 5.5 Appreciate the different methods to introduce structure to text-based data 5.6 Describe sentiment analysis 5.7 Develop familiarity with popular applications of sentiment analysis 5.8 Learn the common methods for sentiment analysis 5.9 Become familiar with speech analytics as it relates to sentiment analysis

4.1 Define data mining as an enabling technology for business analytics 4.2 Understand the objectives and benefits of data mining 4.3 Become familiar with the wide range of applications of data mining 4.4 Learn the standardized data mining processes 4.5 Learn different methods and algorithms of data mining 4.6 Build awareness of the existing data mining software tools 4.7 Understand the privacy issues, pitfalls, and myths of data mining

为了准确测量水射流冲击冷却过程靶面热流密度,提出在靶体背侧增加绝热材料,采用单点测温,使用一维导热反问题计算靶体表面热流密度的方法.实验数据分析显示,采用该方法对靶体背侧温度预测的相对误差±5%以内的概率为93%以上,由于靶体背侧仅是近似的绝热条件,导热反问题计算的靶体背侧温度略高于实测温度.结果表明,通过在靶体背侧增加绝热材料,即便采用单点测温,仍然可以很容易地获得足够精确的靶体温度和表面热流密度