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24 articles for “Autocorrelation”
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Research ArticleOpen accessEvery word in the titleInvestigating Commuting Time in a Metropolitan Statistical Area Using Spatial Autocorrelation AnalysisS. Hessam Miri, S. Behnam MiriCommuting is an unavoidable issue as living and working are two spatially separated activities for most people. The most influence of commuting is on land uses and transportation systems and ultimately it poses its consequences to the society. Research on urban commuting is one of the most favorable approaches to lessening the impact and intensity of land use and transportation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 11 Jan 2020 · 7,421 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCohesion Analysis of Rubber Stand Ages Using Object-Based Image Analysis and Spatial AutocorrelationJiradech Majandang, Suepsai Prasansat, Patiwat Littidej et al.Latex and rubber wood are crucial raw materials used in various industries and play a significant role in the economies of many countries, particularly in tropical regions. Mapping the areas where these materials are planted and classifying the age of rubber stands is important for managing growth assessment, yield assessment, and estimating the number of mature rubber trees that will … …Journal of Computer Science, Vol. 20, Issue 12 · 29 Nov 2024 · 5,293 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIDENTIFICATION OF PERIODIC AUTOREGRESSIVE MOVING-AVERAGE TIME SERIES MODELS WITH RHazem I. El Shekh Ahmed, Raid B. Salha, Diab I. AL-AwarPeriodic autoregressive moving average PARMA process extend the classical autoregressive moving average ARMA process by allowing the parameters to vary with seasons. Model identification is the identification of a possible model based on an available realization, i.e., determining the type of the model with appropriate orders. The Periodic Autocorrelation Function (PeACF) and the Periodic Partial Autocorrelation Function (PePACF) serve as … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 15 Sep 2014 · 12,904 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPitch Analysis of UkuleleSuphattharachai ChomphanProblem statement: The ukulele is a trendy instrument in the present day. It is a member of the guitar family of instruments which employs four nylon or gut strings or four courses of strings. However, a statistical analysis of the pitch of this instrument has not been conducted. To analysis pitch or fundamental frequency of its main cords should be … …American Journal of Applied Sciences, Vol. 9, Issue 8 · 27 Jun 2012 · 7,729 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Improved Time Domain Pitch Detection Algorithm for Pathological VoiceMohd Redzuan Jamaludin, Sheikh Hussain Shaikh Salleh, Tan Tian Swee et al.Problem statement: The present study proposes a new pitch detection algorithm which could potentially be used to detect pitch for disordered or pathological voices. One of the parameters required for dysphonia diagnosis is pitch and this prompted the development of a new and reliable pitch detection algorithm capable of accurately detect pitch in disordered voices. Approach: The proposed method applies … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOn Studying Spatial Patterns and Association Between these Patterns of Mortality and Prosperity in MalaysiaFaisal G. Khamis, Abdul Aziz Jemain, Kamarulzaman IbrahimIn this study, we examined the geographical distribution (the spatial structure) of mortality and prosperity in Malaysia. In addition we proposed an approach to investigate the association between clustering patterns of mortality and prosperity across different areas of the country. To characterize the geographic pattern of mortality and prosperity, three indicators (infant, neonatal, and stillbirth) were proposed for mortality and … …American Journal of Applied Sciences, Vol. 5, Issue 7 · 31 Jul 2008 · 6,935 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHydropower System Management Considering the Minimum OutflowM. L. Arganis, R. DomínguezThis paper deals with the operating rules of the Grijalva River hydropower serial system obtained by means of stochastic dynamic programming and its subsequent simulation using historical records and synthetic series. Penalties in spills and deficit were considered in optimum policies. During simulation several restrictions were added to the original problem, particularly to ensure minimum outflow so as to guarantee … …American Journal of Environmental Sciences, Vol. 4, Issue 3 · 30 Jun 2008 · 6,540 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResidual 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 · 6,577 accessesView PDFCite
Case ReportOpen accessIn the keywordsEvaluation 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
Research ArticleOpen accessIn the keywordsA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite