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门宏新著《图解电子技术快速入门》出版
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作者 奥菲斯 《镇江高专学报》 2002年第4期88-88,共1页
关键词 《图解电子技术快速入门》 出版 书评 门宏 元器件 检测方法
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门宏老师两部著作出版发行
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作者 奥菲斯 《镇江高专学报》 2006年第4期109-109,共1页
我校门宏老师的最新2本专著《图解电工技术快速入门》、《图解电子技术快速入门(修订版)》,已分别于今年6月和8月由人民邮电出版社正式出版发行。
关键词 出版发行 著作 门宏 电工技术 电子技术 出版社 《图解电工技术快速入门》
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Effect of Macro Factor Volatility on the Returns of Financial Sector in Southeast Asian Stock Markets
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作者 Siriwun Wongsrida Prasert Chaitip 《Chinese Business Review》 2014年第1期28-33,共6页
The emphasis of this study is on the practice of the Pooled Mean Group (PMG) estimators to investigate the magnitude of macroeconomic performances: Real Gross Domestic Product (RGDP), Foreign Exchange Rate (EX)... The emphasis of this study is on the practice of the Pooled Mean Group (PMG) estimators to investigate the magnitude of macroeconomic performances: Real Gross Domestic Product (RGDP), Foreign Exchange Rate (EX), and Deposit Interest Rate (DINT) affecting on the rate of financial sector returns in Southeast Asian Stock Markets including Stock Exchange Of Thailand (SET) index (Thailand), the Kuala Lumpur Composite Index (KLSE) index (Malaysia), Financial Times Share Index (FTSI) (Singapore), Philippine Stock Exchange (PSE), and the Jakarta Composite Index (JKSE) (Indonesia). The Panel Autoregressive Distributed Lag (Panel ARDL) is applied to model the relations. The study applies the Levin, Lin, and Chu (LLC) test (2002) and Im, Pesaran, and Shin (IPS) test (2003) to investigates a set of time series data to examine whether the determinants and the rate of financial sector returns contain a unit root, the next step is investigated the cointegration and causality relationship of the determinants of financial sector influencing on long-run rate of returns of financial sector in Southeast Asian Stock Markets. 展开更多
关键词 rate of returns financial sector Southeast Asian Stock Markets panel unit root Panel AutoregressiveDistributed Lag (Panel ARDL)
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The Concept of MDSA (Macro Demand Spatial Approach) on Spatial Demand Forecasting for Main Development Area in Transmission Planning
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作者 Djoko Darwanto Sudarmono Sasmono Ngapuli Irmea Sinisuka Mukmin Widyanto Atmopawiro 《Journal of Energy and Power Engineering》 2014年第6期1124-1131,共8页
MDSA (macro demand spatial approach) is an approach introduced in long time electricity demand forecasting considering location. It will be used at transmission planning and policy decision on electricity infrastruc... MDSA (macro demand spatial approach) is an approach introduced in long time electricity demand forecasting considering location. It will be used at transmission planning and policy decision on electricity infrastructure development in a region. In the model, MDSA combined with PCA (principal component analysis) and QA (qualitative analysis) to determine main development area in region and the variables that affecting electricity demand in there. Main development area is an area with industrial domination as a driver of economic growth. The electricity demand driver variables are different for type of electricity consumer. However, they will be equal for main development areas. The variables which have no significant effect can be reduced by using PCA. The generated models tested to assess whether it still at the range of confidence level of electricity demand forecasting. At the case study, generated model for main development areas at South Sumatra Subsystem as a part of Sumatra Interconnection System is still in the range of confidence level. Thus, MDSA can be proposed as alternative approach in transmission planning that considering location. 展开更多
关键词 Electricity demand forecasting macro demand spatial approach principal component analysis qualitative analysis maindevelopment area transmission planning.
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