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404 articles for “Linear Approach”
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Research ArticleOpen accessIn the abstractAn Optimal Portfolio Selection based on a Hybrid Approach to improve Projects Oriented OrganizationsDriss El Hannach, Rabia Marghoubi, Mohamed DahchourNowadays, managing and allocating resources to the project portfolio is one of the most critical decision-making processes in project-oriented organizations. To achieve the most value in terms of profitability, these companies should consider taking advantage of ongoing projects and optimal management of their resources allocated to the most optimal project portfolio. Project Portfolio Selection (PPS) and resource allocation are critical … …Journal of Computer Science, Vol. 14, Issue 11 · 7 Nov 2018 · 7,282 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Integrative Approach to the Study of Individuality of Subjects of Educational Activity in the Ontogeny from the Positions of Sex and GenderLubov Vladimirovna MishchenkoScientists are trying to study the peculiarities of men and women by adding biological and social components of the human, however since gender is not the natural givenness, but a social construct assuming self-awareness and self-determination, the connections between these components will be refracted through a variety of conditions. The purpose of the article is an integrative study of non-linear … …American Journal of Applied Sciences, Vol. 13, Issue 5 · 27 May 2016 · 7,333 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneral Linear Models in a Missing Outcome Environment of Clinical Trials Incorporating with Splines for Time-Invariant Continuous AdjustmentMinjeong Park, Dejian Lai, Xianglin L. Du et al.Missing data is a common occurrence in longitudinal studies of health care research. Although many studies have shown the potential usefulness of current missing analyses, e.g., (1) Complete Case (CC) analysis; (2) imputation methods such as Last Observation Carried Forward (LOCF), multiple imputations, Expectation-Maximization algorithm approach; and (3) methods using all available data such as linear mixed model and generalized … …Current Research in Biostatistics, Vol. 5, Issue 1 · 18 Aug 2015 · 7,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractCOLLABORATION OF STATISTICAL METHODS IN SELECTING THE CORRECT MULTIPLE LINEAR REGRESSIONSAli Hussein Al-MarshadiThis article considers the analysis of Multiple Linear Regressions (MLRs) that are essential statistical method for the analysis of medical data in various fields of medical research like prognostic studies, epidemiological risk factor studies, experimental studies, diagnostic studies and observational studies. An approach is used in this article to select the "true" regression model with different sample sizes. We used … …Current Research in Biostatistics, Vol. 4, Issue 2 · 15 Sep 2014 · 7,796 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE OF RIDGE REGRESSION ESTIMATOR METHODS ON SMALL SAMPLE SIZE BY VARYING CORRELATION COEFFICIENTS: A SIMULATION STUDYAnwar Fitrianto, Lee Ceng YikWhen independent variables have high linear correlation in a multiple linear regression model, we can have wrong analysis. It happens if we do the multiple linear regression analysis based on common Ordinary Least Squares (OLS) method. In this situation, we are suggested to use ridge regression estimator. We conduct some simulation study to compare the performance of ridge regression estimator … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 3 Jan 2014 · 8,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of Multiple Linear Regression and Nonlinear Neural Networks and Fuzzy Logic Techniques in Modelling House PricesSiti Amri, Gurudeo Anand TularamHouse price prediction continues to be important for government agencies insurance companies and real estate industry. This study investigates the performance of house sales price models based on linear and non-linear approaches to study the effects of selected variables. Linear stepwise Multiple Regression (MR) and nonlinear models of Neural Network (NN) and Adaptive Neuro-Fuzzy (ANFIS) are developed and compared. The … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 18 Dec 2012 · 8,434 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Evaluation of Adaptive Filter and Neuro-Fuzzy Filter in Artifacts Removal From Electroencephalogram SignalPaulchamy Balaiah, IlavennilaProblem statement: This study presents an effective method for removing mixed artifacts (EOG-Electro-ocular gram, ECG-Electrocardiogram, EMG-Electromyogram) from the EEG-Electroencephalogram records. The noise sources increases the difficulty in analyzing the EEG and obtaining clinical information. EEG signals are multidimensional, non-stationary (i.e., statistical properties are not invariant in time), time domain biological signals, which are not reproducible. It is supposed to contain … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 15 Aug 2012 · 7,090 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecoupling and Linearizing of a pH Plant using Hirschorn’s and Genetic AlgorithmsJ. Kanakaraj, D. SubbulekshmiProblem statement: This study is to maintain the interacting liquid level and pH parameter at a desired value. The purpose of decoupling and linearization algorithm is to prevent interaction and making the system linear. Approach: In this study Hirchorn’s and Genetic Algorithms (GA) are proposed to make the system linear, non interacting system. This study presents the performance comparison of … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Transition Test Pattern Generator Architecture for Built-in-Self-TestP. Sakthivel, A. NirmalKumar, T. MayilsamyProblem statement: In Built-In Self-Test (BIST), test patterns are generated and applied to the Circuit-Under-Test (CUT) by on-chip hardware; minimizing hardware overhead is a major concern of BIST implementation. In pseudorandom BIST architectures, the test patterns are generated in random nature by linear feedback shift registers. This normally requires more number of test patterns for testing the architectures which need … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 21 Jul 2012 · 7,361 accessesView PDFCite