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Research ArticleOpen accessIn the abstractSociopolitical Instability and Economic Growth Empirical Evidence from Sri LankaChangsheng Xu, Santhirasegaram Selvarathinam, Wen Xing LiSociopolitical instability severely affects economic growth in short and long run. This study analyzes that sociopolitical instability measured by proxy measure; annual growth rate of tourist arrivals in Sri Lanka during 1960-2005 adversely affects economic growth. Our empirical findings based on ordinary lease square econometric estimation, show that sociopolitical instability negatively and significantly affect economic growth. Reduction of economic growth … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractFourier transforms Investigation of Global Solar Radiation at True Noon: in the Desert climatologyU. Ali Rahoma, A.H. HassanThe aim of this work has been to obtain a typical annual time a function by the application of a calculation procedure based on a Fourier analysis to global solar radiation data of nine years at Helwan Egypt from June 1991 to August 1999. This function allows us to estimate the most probable values of the horizontal daily global solar … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmpirical Analysis: Business Cycles and Inward FDI in ChinaQiyun Fang, Yao LiuIt is well-known that the current speeding-up of globalization has been, on one hand, spreading macro economic effects around the world, while, on the other, fueling firms' activities of crossing national borders. Then, are there any links between these two influences? In this paper, we chose China as our subject, to try to clarify it. A set of models for … …American Journal of Applied Sciences, Vol. 4, Issue 10 · 31 Oct 2007 · 6,834 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Air Temperatures Using Time Series Models and Neural-based AlgorithmsMahmoud M. Smadi, Farouq S. MjalliRecently, neural network models have been popular and found useful for forecasting a wide variety of time series data in many disciplines. This is due to their favorable modeling properties of simplicity, fault and noise tolerance and their capability to adapt to process changes. Nevertheless, applications in climatology have been less widespread than other disciplines such as economics. In this … …Journal of Mathematics and Statistics, Vol. 3, Issue 2 · 30 Jun 2007 · 7,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Analysis of Recent Changes in Relative Humidity in JordanAhmed A. Abu-Taleb, Ameen J. Alawneh, Mahmoud M. SmadiThis study examines recent changes in annual and seasonal relative humidity variations in Jordan. The analysis indicates an increasing trend in relative humidity at different stations. The analysis shows a significant increasing trend at Amman Airport Meteorological (AAM) station with a rate of increase 0.13% per year. These increasing trends are statistically significant during summer and autumn seasons. Finally, a … …American Journal of Environmental Sciences, Vol. 3, Issue 2 · 30 Jun 2007 · 7,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Foreign Direct Investment Inflow in Jordan: Univariate ARIMA ModelAl-Abdulrazag Bashier, Bataineh TalalThe present study is an attempt to build a Univariate time series model to forecast the FDI inflows into Jordan over the coming period 2004-2025. The study employs Box-Jenkins methodology of building ARIMA (Autoregressive Integrated Moving Average) model to achieve the goals of the study. An annual sample time series data for the FDI in Jordan was utilized over the … …Journal of Social Sciences, Vol. 3, Issue 1 · 31 Mar 2007 · 8,385 accessesView PDFCite
Research ArticleOpen accessIn the abstractObserved Abrupt Changes in Minimum and Maximum Temperatures in Jordan in the 20th CenturyMahmoud M. SmadiThis study examines changes in annual and seasonal mean (minimum and maximum) temperatures variations in Jordan during the 20th century. The analyses focus on the time series records at the Amman Airport Meteorological (AAM) station. The occurrence of abrupt changes and trends were examined using cumulative sum charts (CUSUM) and bootstrapping and the Mann-Kendall rank test. Statistically significant abrupt changes … …American Journal of Environmental Sciences, Vol. 2, Issue 3 · 30 Sep 2006 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sudden Change In Rainfall Characteristics In Amman, Jordan During The Mid 1950sMahmoud M. Smadi, Ahmed ZghoulThis study examines recent changes, trends and fluctuations in the total rainfall and number of rainy days at Amman Airport Meteorological (AAM) station in Jordan during the period 1922-2003. The occurrence of abrupt changes and trends were examined and identified using the Pettitt test, a combination of cumulative sum charts (CUSUM) and bootstrapping and the sequential version of Mann-Kendall rank … …American Journal of Environmental Sciences, Vol. 2, Issue 3 · 30 Sep 2006 · 10,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Approaches for Predicting Break Indices in Mandarin Speech SynthesisShao Yan-qiu, Zhao Yong-zhen, Han Ji-qing, Liu TingThis study adopts a large-scale corpus with five-tier break indices annotated according to C-TOBI. Based on it, several approaches, N-gram, Markov model and decision tree learning are applied to predict break indices automatically for unrestricted mandarin text. These approaches differ mutually not only in model, but also on features and even part-of-speech tag size. A deep comparison and analysis among … …Journal of Computer Science, Vol. 2, Issue 8 · 31 Aug 2006 · 6,211 accessesView PDFCite
Research ArticleOpen accessIn the abstractConstrained Probabilistic Lost Sales Inventory System with Normal Distribution and Varying Order CostHala, A. Fergany, Mona, F. EL-WakeelThis study derives the probabilistic lost sales inventory system when the order cost is a function of the order quantity. Our objective is to minimize the expected annual total cost under a restriction on the expected annual holding cost when the lead-time demand follows the normal distribution by using the Lagrangian method. Then a published special case is deduced and … …Journal of Mathematics and Statistics, Vol. 2, Issue 1 · 31 Mar 2006 · 7,195 accessesView PDFCite