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24 results for “Autocorrelation”
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Research ArticleOpen accessIn the keywordsA Novel Approach for Testing Stability of 1-D Recursive Digital Filters Based on Lagrange MultipliersK. R. Santhi, N. Gangatharan, M. PonnavaikkoDigital filters have found their way into many products from every day consumer items such as mobile phones to advanced maritime and military communications and avionics systems. Design of digital filters faces two fundamental problems, their stability and synthesis. Recursive filters have more stability problems than nonrecursive filters. Stability of a filter can be determined by the location of the … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,484 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Overview of Modified Shanks’ Conjecture and Comments on its ValidityN. Gangatharan, T.C. ChuahThis study reports the validity of the modified Shanks’ conjecture on the planar least squares inverse (PLSI) method of stabilizing two-dimensional (2-D) recursive digital filters. A theoretical procedure proposed based on the Lagrange multiplier method of mathematical optimization. The results indicate that the modified Shanks’ conjecture reported by Jury was valid for special classes of 2-D polynomials. …American Journal of Applied Sciences, Vol. 4, Issue 4 · 30 Apr 2007 · 7,035 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForecasting Bangladesh's Inflation through Econometric ModelsNazmul IslamThis research tries to sketch the concrete steps that help carry out to use ARIMA time series models for forecasting Bangladesh’s inflation. The focus, in this paper, is short-term basis annual inflation forecasting. For this purpose, different ARIMA models are used and the candid model is proposed. Based on the diagnostic and evaluation criteria, the most accurate model is selected. … …American Journal of Economics and Business Administration, Vol. 9, Issue 3 · 8 Nov 2017 · 9,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrend and Pattern in Average Monthly Maximum Temperatures in Thailand from 1986 to 2015Manachai Rodchuen, Samruam Chongcharoen, Walaithip BunyatisaiThis research aims to study the trends and patterns of average maximum temperature change data of monthly surface in Thailand during the 30 year-period from 1986 to 2015 that has already eliminated seasonal variations and autocorrelation. The data set obtained from Climatological center, Meteorological Development Division, Thailand Meteorological Department for 73 completed recording stations. The climatically regions of Thailand meteorology … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 25 Mar 2020 · 7,942 accessesView PDFCite
HypothesisOpen accessIn the abstractMapping of Mn and Pb as Effect of Landfill Pollutant based on Ordinary Kriging InterpolationRokhana Dwi Bekti, Kris Suryowati, Heruna TantySpatial interpolation is an important method, getting information about pollutan from landfill location in groundwater quality mapping. Ordinary kriging is used to predict the unknown values in some locations, based on the autocorrelations among the nearby locations. In this research, ordinary kriging interpolation was used to divine the chemical characteristic of Manganese (Mn) and Lead (Pb), then 22 samples, around … …American Journal of Environmental Sciences, Vol. 13, Issue 3 · 19 May 2017 · 7,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploratory Analysis of Rainfall Occurrence in South Sulawesi Region Using Spatial Point ProcessNurtiti Sunusi, Erna Tri Herdiani, Fachrul Nawawi, GiarnoThis paper study the probability of rainfall occurrence in round year in different segment in South Sulawesi region. In this research, rainfall occurrence in round year described by one line which has divided into 12 months. Each one of those months is assumed that the probability of a rainfall follow a homogeneous Poisson distribution. To modeling the rainfall occurrence in … …Journal of Mathematics and Statistics, Vol. 11, Issue 4 · 15 Feb 2016 · 7,450 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpline Estimator for Bi-Responses and Multi-Predictors Nonparametric Regression Model in Case of Longitudinal DataAdji Achmad Rinaldo Fernandes, I Nyoman Budiantara, Bambang Widjanarko Otok, SuhartonoNonparametric regression approach is used when the shape of the curve regression is unknown. The spline estimator approach for longitudinal data can accommodate the correlation between observations within the same subject, which is not found in the cross-section data, so that the autocorrelation assumption problem can be resolved. On the other hand, with bi-responses approach, it will accommodate any correlation … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 8 Oct 2015 · 7,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial Durbin Model to Identify Influential Factors of DiarrheaRokhana Dwi Bekti, SutiknoProblem statement: An analysis of regression modeling which influenced by the characteristics of the region is very important. That modeling is the spatial autoregressive model. One type of spatial autoregressive model is a Spatial Durbin Model (SDM), which performs a lag effect of the dependent and independent variables. This model was developed because the dependencies in the spatial relationships doesn’t … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 13 Oct 2012 · 8,282 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneralization of Boolean Functions Properties to Functions Defined over GF(p)Saad Elmansori, B. E. EsamProblem statement: Traditionally, cryptographic applications designed on hardware have always tried to take advantage of the simplicity of implementation functions over GF(p), p = 2, to reduce costs and improve performance. On the contrast, functions defined over GF(p); p > 2, possess far better cryptographic properties than GF(2) functions. Approach: We generalize some of the previous results on cryptographic Boolean … …Journal of Computer Science, Vol. 8, Issue 6 · 13 Mar 2012 · 7,436 accessesView PDFCite