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56 articles for “relative error”
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Research ArticleOpen accessIn the abstractPerformance of the Trim and Fill Method in Adjusting for the Publication Bias in Meta-Analysis of Continuous DataNik Ruzni Nik IdrisPublication bias in meta-analysis is a serious issue as it may lead to biased estimates which appear to be precise. A popular method for detecting and adjusting the publication bias is the trim and fill method. This study uses simulated meta-analysis to quantify the effects of publication bias on the overall meta-analysis estimates of continuous data where the absolute mean … …American Journal of Applied Sciences, Vol. 9, Issue 9 · 8 Aug 2012 · 9,435 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost Elasticities of Reliability and MTTF for k-out-of-n SystemsAli Muhammad Rushdi, Abdulaziz Efain AlsulamiThe application of the concept of cost elasticity of reliability was extended from the parallel system to the partially redundant or k-out-of-n:G(F) system (or k-out-of-n system, for short). An expression for the cost elasticity of reliability was derived for a general k-out-of-n system. The expression yielded acceptable results for a wide range of values for k, n, and component reliability. … …Journal of Mathematics and Statistics, Vol. 3, Issue 3 · 30 Sep 2007 · 7,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Proposed Integrated Human Recognition for Security ReassuranceZahraddeen Sufyanu, Fatma Susilawati Mohamad, Ahmad Salihu Ben-MusaA lot of systems require reliable and thorough authentication to ratify individual's claimed identity, especially in national and international security and defense. Unibiometric system suffers inherent weaknesses that are unavoidable in the system. Such inadequacies may directly or indirectly lead to an unacceptable error. For this reason, researchers pay great attention to the more advanced biometrics (referred to as multimodal … …American Journal of Applied Sciences, Vol. 12, Issue 2 · 11 Apr 2015 · 7,256 accessesView PDFCite
Research ArticleOpen accessIn the abstractA HYBRID INTELLIGENT MODEL FOR SOFTWARE COST ESTIMATIONWei Lin Du, Luiz Fernando Capretz, Ali Bou Nassif, Danny HoAccurate software development effort estimation is critical to the success of software projects. Although many techniques and algorithmic models have been developed and implemented by practitioners, accurate software development effort prediction is still a challenging endeavor in the field of software engineering, especially in handling uncertain and imprecise inputs and collinear characteristics. In this study, a hybrid intelligent model combining … …Journal of Computer Science, Vol. 9, Issue 11 · 28 Sep 2013 · 7,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractTunnel Static Behavior Assessed by a Probabilistic Approach to the Back-AnalysisClaudio Oggeri, Pierpaolo OresteProblem statement: The steps of the validation procedure of the project of a tunnel are briefly illustrated in this study, starting from the geological and structural surveys on the excavation walls and the measurement of the physical and mechanical parameters during the excavation works. Unfortunately, however, the knowledge of the rock mass, which is fundamental to the project, is usually … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 4 Jun 2012 · 7,030 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Pan Evaporation Coefficient using Neuro-Genetic ApproachPakorn Ditthakit, Chaiyuth ChinnarasriProblem statement: The pan evaporation coefficient (Kp) is used to convert pan Evaporation (Ep) to reference Evapotranspiration (ETo) due to its simplicity and suitability for locations with limited availability of meteorological data. Approach: This study presents the use of neuro-genetic approach for estimating Kp for Class A pan and Colorado Sunken pan under green and dry fetch conditions. Results: Representative … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 10 Oct 2011 · 7,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong-term Effect of Conventional and No-Tillage Production Systems on Nitrous Oxide Fluxes from Corn (Zea mays L.) Field in Southwestern QuebecAbdirashid Elmi, Bano Mehdi, Chandra Madramootoo et al.Problem statement: There is a growing trend in the adoption of conservation tillage as an alternative to conventional tillage farming system. Implications of this agricultural management shift with respect to nitrous oxide (N2O) emission, which has been a topic of intense research for the past few decades, is not yet completely understood. Approach: This study was conducted on a 2.4 … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 7,016 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Packet Transmission Data over IP Networks Using Adaptive Neuro-Fuzzy Inference SystemsSamira Chabaa, Abdelouhab ZeroualProblem statement: The statistical modeling for predicting network traffic has now become a major tool used for network and is of significant interest in many domains: Adaptive application, congestion and admission control, wireless, network management and network anomalies. To comprehend the properties of IP-network traffic and system conditions, many kinds of reports based on measured network traffic data have been … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,533 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpeed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural NetworkShebel ALSABBAH, Tariq MUGHRABIThe speed of ultrasonic motor of piezo-electric type is usually measured using mechanical sensors such as pulse encoders. However, these sensors are costly and bulky. In this paper, a numerical speed estimation approach of a piezo-electric motor (PEM) is implemented using multilayer perception neural network (MLP-NN). The proposed model evaluates rotational speed and load torque based on the amplitude and … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,785 accessesView PDFCite