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15 results for “comparison to exponential”
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Research ArticleOpen accessIn the keywordsEffect of Nitrogen on Growth and Lipid Content of Chlorella pyrenoidosaSubhasha Nigam, Monika Prakash Rai, Rupali SharmaProblem Statement: In today’s scenario, microalgae are widely recognized as a promising source for biofuel production as a renewable source of energy. They are exceedingly rich in oil, which can be converted to biofuel. This paper deals with one of the method to enhance the lipid content in microalgae. Approach: Microalga, Chlorella pyrenoidosa, was grown autotrophically in batch culture and … …American Journal of Biochemistry and Biotechnology, Vol. 7, Issue 3 · 22 Sep 2011 · 12,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractExponentiated Exponential Weibull Distribution: Mathematical Properties and ApplicationDawlah AlsulamiAn Exponentiated Exponential Weibull Distribution (EEWD) is proposed. Some statistical properties of the proposed distribution are studied. The Maximum Likelihood method (ML) is applied to estimate the model parameters. The efficiency of the ML estimates of the proposed model is demonstrated using a Monte Carlo simulation study with different samples sizes. Moreover, real data set application is provided to show … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 4 Sep 2020 · 7,334 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Using Conventional and TL moments for the Estimation of a Mixture of Exponential Distributions, A Theoretical ReviewHabib Ahmed ElsayirThis paper focuses on derivation of a mixture of exponential distribution and Linear Moments (LM) and Trimmed Linear moments (TL) is derived for estimation of its parameters. A comparison was made between L-moments, TL-moments of two component mixture of exponential distributions and conventional moments. In intensive simulation study, empirical study results are in the favor of conventional moments, the reason … …American Journal of Applied Sciences, Vol. 17, Issue 1 · 23 May 2020 · 7,094 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Comparison of Experimental and Analytical Study of the Gaussian IntensityDistribution for Light Emitting Diodes BeamMohammad Syuhaimi Ab-Rahman, Luqman Al-Hakim Azizan, Harry Ramza, Zulkifli MusaProblem statement: Wireless communication using white Light Emitting Diodes (LEDs) is the latest research field for next-generation communication. This study studies the comparison of Gaussian intensity distribution of the white LED using experimental and analytical method. The white LEDs are conducted to transmit an audio signal to the receiver. The receiver circuit consist of solar cell connected to the speaker … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,271 accessesView PDFCite
Research ArticleOpen accessIn the abstractNew Constructive Neural Network Architecture for Pattern ClassificationS. S. Sridhar, M. PonnavaikkoProblem statement: Constructive neural network learning algorithms provide optimal ways to determine the architecture of a multi layer perceptron network along with learning algorithms for determining appropriate weights for pattern classification problems. These algorithms initially start with small network and dynamically allow the network to grow by adding and training neurons as needed until a satisfactory solution is found. The … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,570 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-OptionsOjshwi Prakash, Godwin Glivin, N. Kalaiselvan, V. MariappanWind energy is a great alternative to solar energy (During monsoon) along with conventional non-renewable energy sources and has a potential market growing exponentially. Modern 3 Blade HAWTs are most dominant in the market and have high efficiency. Blades are 15 to 20% of the cost of the wind turbine unit and also exposed to the environment. Therefore it is … …Energy Research Journal, Vol. 11, Issue 1 · 13 Nov 2020 · 8,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractMCMC-Fuzzy: A Fuzzy Metric Applied to Bayesian Network Structure LearningBeatriz Wilges, Ademar Crotti Junior, Silvia Modesto NassarBayesian network structure learning is considered a complex task as the number of possible structures grows exponentially with the number of variables. Two main methods are used for Bayesian network structure learning: Conditional independence, a method in which a structure is created consistently with independence tests performed on data; and the heuristic search method that explores the structure space. Hybrid … …Journal of Computer Science, Vol. 14, Issue 8 · 24 Aug 2018 · 8,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on the Effects of Non-Normality on the Performances of Max-DEWMA Versus SS-DEWMA ChartsTeh Sin Yin, Michael Khoo Boon ChongProblem statement: The called the Sum of Squares Double Exponentially Weighted Moving Average (SS-DEWMA) chart which is effective in detecting shifts in the mean and/or variance is compared with the Max-DEWMA (called the maximum double exponentially weighted moving average) chart. The comparison is based on the assumption that the distribution of the quality characteristic of the process is normal or … …Journal of Mathematics and Statistics, Vol. 8, Issue 1 · 18 Jan 2012 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuitability of Volatility Models for Forecasting Stock Market Returns: A Study on the Indian National Stock ExchangeTrilochan Tripathy, Luis A. Gil-AlanaProblem statement: Measuring volatility is an important issue for stock market traders. Also, volatility has been used as a proxy for riskiness associated with the asset. This study aims to compare the different volatility models based on how well they model the volatility of the India NSE. Approach: The study has made use of five models which are Historical/Rolling Window … …American Journal of Applied Sciences, Vol. 7, Issue 11 · 8 Nov 2010 · 7,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvances in Electromyogram Signal Classification to Improve the Quality of Life for the Disabled and Aged PeopleMd. R. Ahsan, Muhammad I. Ibrahimy, Othman O. KhalifaProblem statement: The social demands for the Quality Of Life (QOL) are increasing with the exponentially expanding silver generation. To improve the QOL of the disabled and elderly people, robotic researchers and biomedical engineers have been trying to combine their techniques into the rehabilitation systems. Various biomedical signals (biosignals) acquired from a specialized tissue, organ, or cell system like the … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 8,817 accessesView PDFCite