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11 articles for “Multivariate Time Series Analysis”
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Research ArticleOpen accessIn the keywordsAdvanced 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 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA VAR Model for Forecasting Land Market Value in USALei WangForecasts of the future tendency of economic variables such as GDP, inflation rate and unemployment rate, arise many interests from business and government. Also, Modeling the land market at the national level can capture rich dynamic presenting in interdependent economies. In this paper, we studied a Vector Auto-regression (VAR) of Land Market Value and five US macroeconomic variables. We employed … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Jan 2018 · 7,639 accessesView PDFCite
Case ReportOpen accessIn the abstractEvaluation of Seasonal Autoregressive Integrated Moving Average Models for River Flow ForecastingKassahun Birhanu Tadesse, Megersa Olumana Dinka, Tena Alamirew, Semu Ayalew MogesReservoir operation policies cannot be functional in instant decision making without forecasting the future reservoir inflows. For forecasting inflows into reservoirs with only hydrological data is available like Koga irrigation dam, multivariate forecasting models cannot be used to generate accurate river flow information. As a result, an evaluation of univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) models was done for … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 28 Sep 2017 · 7,885 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis of Rainfall and Temperature Interactions in Coastal CatchmentsGurudeo Anand Tularam, Mahbub IlaheeProblem statement: As a result of climate change more work is now being done on climate indices such as SOI, rainfall, temperature and so on. The research concerning rainfall and temperature variations in coastal tropical and subtropical catchments as noted by the dated references in this study shows a lack of attention. The authors examined long term data from coastal … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 15,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Numerical Computation of Rational Structures and Asymptotic Standard Deviations in Causal Time Series DataConcepción González-Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoProblem statement: The specific properties of data series are of primary importance in several sciences. In the field of time series analysis, several researchers have considered the rational approximation theory, particularly the Padé Approximation and Orthogonal Polynomials. Approach: In this study, an approach for the statistical significance of two numerical methods, the r-s and q-d algorithm, was proposed which made … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultivariate Modelling of the Canary Islands Banana Output. The Role of Farmer Income ExpectationConcepción González Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoThe EU is the world‘s largest importer of bananas and the only major managed market in the international banana trade. Spain is the main banana producer within the European Union (EU), followed by France and Portugal. In all these countries the fruit is grown in overseas islands situated in tropical or sub-tropical areas and bananas are a pillar of the … …Journal of Social Sciences, Vol. 4, Issue 2 · 30 Jun 2008 · 7,766 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordStock Return, Growth and Inflation in India: Analysis of Stochastic Seasonality, Impulse Response and Multivariate GARCHPanchanan DasThis study analyses the empirical interdependence among asset returns, industrial growth and inflation after controlling for interest rate by considering stochastic seasonality and conditional volatility with monthly time series in India. The HEGY unit root test suggests that industrial growth and inflation experience only stochastic trend and no persistent stochastic behaviour at any other seasonal frequencies, while stock return follows … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 3 May 2021 · 7,344 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordParameter 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 · 7,918 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPrediction on Land Market Value Based on the Real Estate Market in USALei WangThe Land Market Value, defined as the total value of land price and quantity data are derived from data on housing values, is an important factor in the estimation of structure costs using price indexes for housing and construction costs. In this study, we gather and analyze 34 years' national data on past and present real estate transaction. According to … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 23 May 2017 · 7,555 accessesView PDFCite