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152 results for “series time data”
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Research ArticleOpen accessIn the abstractResidual Analysis for Auto-Correlated Econometric ModelHabib Ahmed ElsayirThe aim of this article is to provide residual analysis for a time series data of Gross Domestic Product (GDP) of the Sudan. An econometric time series model with macroeconomic variables is conducted to examine the goodness of fit using residual. Many statistical tests are used in time series models in order to make it a stationary series. After applying … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 1 Jun 2019 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Automated Time-Shift Alignment Algorithm Based on Discrete to Continuous ApproachWajih Rhalem, Mourad Raji, Ahmed Hammouch, Jamal El MhamdiDealing with the variation in retention time and time series is one of the most popular challenges in the field of analysing data obtained from biological experiments. In most cases, this problem can lead to invalid conclusions. This work aims to propose a new method to cope with this problem by using the principle of the transition from discrete to … …Journal of Computer Science, Vol. 15, Issue 4 · 15 Apr 2019 · 7,772 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of the Artificial Neural Networks Options Pricing Model Under Constant and Time-Variant VolatilitiesHanningtone Meshack Simiyu, Anthony Gichuhi Waititu, Jane Aduda AkinyiOption pricing using artificial neural networks (ANN) model while relaxing the assumption of constant volatility still remains a challenge. The conventional practice for pure ANN models has been to either model volatility using the very ANN model and have the model output fed as an input to the ANN option pricing model, or to make allowances for a large number … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 20 Jul 2019 · 7,015 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Multivariate Time Series Forecasting ModelsMiss Lei WangIn this study, the focus is to collect and summarize various advanced forecasting models for multivariate time series dataset. We have discussed about the inherent forecasting strengths and weaknesses related to these time series modelings. Also, the main section deal with the experience of using such data in econometric analysis. Besides, the implementation of SAS and R softwares improve the … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 21 Dec 2018 · 7,323 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Ozone Concentrations Using Box-Jenkins ARIMA Modeling in MalaysiaWan Rozita Wan Mahiyuddin, Nur Izzah Jamil, Zamtira Seman et al.Time series analysis and forecasting has become a major tool in many applications in air pollution and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins. In this study, we used Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) model on the average of monthly ozone data … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 25 May 2018 · 8,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Remote Sensing Techniques in Detecting and Predicting Forest Vegetation Change Using MODIS Satellite Data, Golestan, IranAkram Karimi, Sara Abdollahi, Hamid Reza Kabiri Balajadeh et al.It is so important to be aware of quantitative and qualitative characteristics of changes for the environment, land use planning and sustainable development. Detecting the changes in the condition of an issue is done by time difference observations. Change detection refers to the process of detecting time changes of an object through different time observations. The detection of changes by … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 30 Mar 2018 · 8,294 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Development and Economic Growth in Nepal: New intuitions from a Time Series Causality MethodUttam Paudel, Satish Chandra Bhatta, Umesh KhatriGeneralized empirical evidences about impact and direction of causality between financial development and economic growth ignoring the differences of structure and other factors seem less effective to understand the contributions of financial as well as real sector development to economic growth by country specific factors in Nepal. This paper has established the short run or long run relationship and the … …Journal of Social Sciences, Vol. 14, Issue 1 · 28 Mar 2018 · 8,479 accessesView PDFCite
Research ArticleOpen accessIn the abstractParameter Optimization of Gradient Tree Boosting Using Dragonfly Algorithm in Crime Forecasting and AnalysisAlif Ridzuan Khairuddin, Nor Azizah Ali, Razana Alwee et al.Crime forecasting and analysis are very important in predicting future crime patterns and beneficial to the authorities in planning effective crime prevention measures. One of the challenges found in crime analysis is the crime data itself as its form, representation and distribution are varied and unpredictable. To handle such data, most researchers have been focusing on applying various Artificial Intelligence … …Journal of Computer Science, Vol. 15, Issue 8 · 7 Aug 2019 · 7,925 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Domestic Consumption on GDP of Pakistan from 1981-2014Rabia Shaheen, Javeria Shabbir, He Shuquan, Khalid Mahmood MughalThe purpose of the study was to study the impact of domesticconsumption (electricity consumption, food, and natural gas) on the EconomicGrowth of Pakistan. Time series data is used for analysis from 1981 to 2014taken from the World Governance Indicators Index. Pakistan's GDP is used as adependent variable and household consumption includes consumption ofelectricity, food, and natural gas used as independent … …Journal of Social Sciences, Vol. 18, Issue 1 · 23 Aug 2022 · 6,379 accessesView PDFCite