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71 results for “Linear Estimation”
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Research ArticleOpen accessIn the abstractTREND ANALYSIS OF MONTHLY RAINFALL DATA IN CENTRAL ZONETelemu KassileProper trend analysis of rainfall data is necessary for social and economic planning especially in the tropics where rainfall is a major limiting factor for crop production. In spite of the growing number of studies on climatic variables including rainfall in recent years, in the context of Tanzania little is known as to whether or not the observed time trend … …Journal of Mathematics and Statistics, Vol. 9, Issue 1 · 15 Mar 2013 · 7,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Flux linkage Characteristics and Inductance of a Submersible Switched Reluctance Motor using Software ToolsSundaram Maruthachalam, Navaneethan PalaniswamyProblem statement: The Switched Reluctance Motor (SRM) is an old member of the Electric Machines Family. It’s simple structure, ruggedness and inexpensive manufacturing capability make it more attractive for Industrial applications. Now, the applications of switched reluctance motors in various industrial fields are tried by many engineers. However, switched reluctance motors are not used so far in submersible underwater motor … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Estimations as a Remedy for Multicollinearity Caused by Multiple High Leverage PointsArezoo Bagheri, Habshah MidiProblem statement: The Least Squares (LS) method has been the most popular technique for estimating the parameters of a model due to its optimal properties and ease of computation. LS estimated regression may be seriously disturbed by multicollinearity which is a near linear dependency between two or more explanatory variables in the regression models. Even though LS estimates are unbiased … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 8,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,948 accessesView PDFCite
Research ArticleOpen accessIn the abstractNumerical Investigation Into The Behavior of Circular Pad Shallow Foundations Supported By Geogrid Reinforced SandS. M. Marandi, M. H. Bagheripour, R. Rahgozar, A. R. GhirianThis study seeks to widen the pool of knowledge on the use and characteristics of geosynthetics, specifically in the area of circular foundations supported by geosynthetic reinforced sand. The main objective of the work was to increase the awareness of circular foundation systems and thus increase the accuracy of current laboratory methods. Also, compare the results with that of previous … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 7,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuality Monitoring Using Principal Component Analysis and Fuzzy Logic Application in Continuous Casting ProcessSalah Bouhouche, Malek Lahreche, Abdelkrim Moussaoui, Jürgen BastThis paper deals with non linear system monitoring, based on a combined use of Principal Components Analysis (PCA) and fuzzy logic to process and quality monitoring. PCA coupled to fuzzy logic was used to estimate the fault or defect according to the dynamic changes in the process inputs-outputs characterized by T2 Hoteling and Squared Prediction Error (SPE). Correlation between the … …American Journal of Applied Sciences, Vol. 4, Issue 9 · 30 Sep 2007 · 7,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractLagrangian Micromixing Models for Concentration Fluctuations: An OverviewPaolo Monti, Giovanni Leuzzi, Andrea AmicarelliThis study presents a brief overview of the main features, theoretical formulations and validation tests of some Lagrangian micromixing models, currently used for estimations of the ensemble mean and the turbulent fluctuations of concentration. Their application fields regards several pollutant dispersion phenomena such as: accidents (power or production plants, terroristic attacks, hydrocarbons storage and transport, extraordinary emissions), odours (power plants … …American Journal of Environmental Sciences, Vol. 8, Issue 6 · 28 Dec 2012 · 6,779 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputing Evaporanspiraton from Weather Data Obtained from Distant, Non-Reference Weather Stations in a Hyper-Arid RegionElNesr Mohammad Nabil, Alazba Abdurrahman AliProblem statement: Reference agro-climatic Weather Stations (WS) are rarely found in newly reclaimed areas. The usage of weather data from non-reference WS may lead to inaccurate estimations of Evapo Transpiration (ET), especially if the non-reference stations are distant from the reclaimed location. Approach: Weather data from four WS located at Riyadh were used to calculate ET by using Penman Monteith … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 27 Sep 2011 · 7,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Thermal Explosion of Sensitized Reaction with Variable Heat LossK.S. Adegbie, F.I. AlaoThis study discusses the influence of heat loss on the critical ignition temperature and Frank-Kamenetskii parameter of a non-linear ordinary differential equation arising in thermal sensitized reaction. The reaction obeys the Arrhenius expression with temperature dependent pre-exponential factor, taking heat exchange between the reacting material and its surrounding into account. The consequences of heat loss are explored within the framework … …American Journal of Applied Sciences, Vol. 4, Issue 1 · 30 Apr 2007 · 6,923 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite