Relevant bibliographies by topics / Asymmetric exponential power distribution

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Asymmetric exponential power distribution'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Asymmetric exponential power distribution"

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Zhu, Dongming, and Victoria Zinde-Walsh. "Properties and estimation of asymmetric exponential power distribution." Journal of Econometrics 148, no. 1 (January 2009): 86–99. http://dx.doi.org/10.1016/j.jeconom.2008.09.038.

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Çankaya, Mehmet. "Asymmetric Bimodal Exponential Power Distribution on the Real Line." Entropy 20, no. 1 (January 3, 2018): 23. http://dx.doi.org/10.3390/e20010023.

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Baharith, Lamya A., and Wedad H. Aljuhani. "New Method for Generating New Families of Distributions." Symmetry 13, no. 4 (April 20, 2021): 726. http://dx.doi.org/10.3390/sym13040726.

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This article presents a new method for generating distributions. This method combines two techniques—the transformed—transformer and alpha power transformation approaches—allowing for tremendous flexibility in the resulting distributions. The new approach is applied to introduce the alpha power Weibull—exponential distribution. The density of this distribution can take asymmetric and near-symmetric shapes. Various asymmetric shapes, such as decreasing, increasing, L-shaped, near-symmetrical, and right-skewed shapes, are observed for the related failure rate function, making it more tractable for many modeling applications. Some significant mathematical features of the suggested distribution are determined. Estimates of the unknown parameters of the proposed distribution are obtained using the maximum likelihood method. Furthermore, some numerical studies were carried out, in order to evaluate the estimation performance. Three practical datasets are considered to analyze the usefulness and flexibility of the introduced distribution. The proposed alpha power Weibull–exponential distribution can outperform other well-known distributions, showing its great adaptability in the context of real data analysis.
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Olosunde, A. A., and A. T. Soyinka. "Interval Estimation for Symmetric and Asymmetric Exponential Power Distribution Parameters." Journal of the Iranian Statistical Society 18, no. 1 (June 1, 2019): 237–52. http://dx.doi.org/10.29252/jirss.18.1.237.

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Naranjo, L., C. J. Pérez, and J. Martín. "Bayesian analysis of some models that use the asymmetric exponential power distribution." Statistics and Computing 25, no. 3 (February 6, 2014): 497–514. http://dx.doi.org/10.1007/s11222-014-9449-1.

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Nadarajah, Saralees, and Mahdi Teimouri. "On the Characteristic Function for Asymmetric Exponential Power Distributions." Econometric Reviews 31, no. 4 (July 2012): 475–81. http://dx.doi.org/10.1080/07474938.2011.608000.

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Kurmankozhayev, Azimkhan, and Guldana Syzdykova. "EVALUATION OF EXTREMELY ASYMMETRIC TYPES OF DISTRIBUTIONS OF GEOFEATURES VALUES." Geodesy and Cartography 41, no. 3 (October 6, 2015): 131–36. http://dx.doi.org/10.3846/20296991.2015.1086127.

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Statistical and geometric patterns were disclosed that are inherent to extremely asymmetric types of formation of stochastic frequencies of geofeatures values with the help of the exponential, probabilistic, structural, and Zipf distribution laws, which are most often used to describe them. A sophisticated pattern with exponential and hyperbolic nature of the probabilistic frequencies formation development was found. Based on these features, a leading concept of using major structure-forming characteristics of the distribu- tion of variable parameters as desired theoretical distribution function was used for parameterization of an extremely asymmetric distribution model. A median and modal frequency of geofeatures distribution were defined as the theoretical parameters of the desired distribution model. A structure was constructed and formulas were derived for determination of the statistical characteristics of the recommended distribution model. Approbation of the distribution model was conducted on an example of morphometric signs empirical distributions among the localities of varying complexity and qualitative indicators of a number of gold and rare metal deposits; inhesion of its approxi- mating power and flexibility of use was revealed.
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Li, Zhimin, Zhaolin He, and Chunhua Hu. "Asymptotic Degree Distribution of a Kind of Asymmetric Evolving Network." Abstract and Applied Analysis 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/761235.

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We propose a kind of evolving network which shows tree structure. The model is a combination of preferential attachment model and uniform model. We show that the proportional degree sequencepkk>1obeys power law, exponential distribution, and other forms according to the relation ofkand parameterm.
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Klakattawi, Hadeel S., and Wedad H. Aljuhani. "A New Technique for Generating Distributions Based on a Combination of Two Techniques: Alpha Power Transformation and Exponentiated T-X Distributions Family." Symmetry 13, no. 3 (March 4, 2021): 412. http://dx.doi.org/10.3390/sym13030412.

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In the following article, a new five-parameter distribution, the alpha power exponentiated Weibull-exponential distribution is proposed, based on a newly developed technique. It is of particular interest because the density of this distribution can take various symmetric and asymmetric possible shapes. Moreover, its related hazard function is tractable and showing a great diversity of asymmetrical shaped, including increasing, decreasing, near symmetrical, increasing-decreasing-increasing, increasing-constant-increasing, J-shaped, and reversed J-shaped. Some properties relating to the proposed distribution are provided. The inferential method of maximum likelihood is employed, in order to estimate the model’s unknown parameters, and these estimates are evaluated based on various simulation studies. Moreover, the usefulness of the model is investigated through its application to three real data sets. The results show that the proposed distribution can, in fact, better fit the data, when compared to other competing distributions.
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Olmos, Neveka M., Osvaldo Venegas, Yolanda M. Gómez, and Yuri A. Iriarte. "An Asymmetric Distribution with Heavy Tails and Its Expectation–Maximization (EM) Algorithm Implementation." Symmetry 11, no. 9 (September 10, 2019): 1150. http://dx.doi.org/10.3390/sym11091150.

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In this paper we introduce a new distribution constructed on the basis of the quotient of two independent random variables whose distributions are the half-normal distribution and a power of the exponential distribution with parameter 2 respectively. The result is a distribution with greater kurtosis than the well known half-normal and slashed half-normal distributions. We studied the general density function of this distribution, with some of its properties, moments, and its coefficients of asymmetry and kurtosis. We developed the expectation–maximization algorithm and present a simulation study. We calculated the moment and maximum likelihood estimators and present three illustrations in real data sets to show the flexibility of the new model.
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Dissertations / Theses on the topic "Asymmetric exponential power distribution"

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Zhi, Tianchen. "Maximum Likelihood Estimation of Parameters in Exponential Power Distribution with Upper Record Values." FIU Digital Commons, 2017. http://digitalcommons.fiu.edu/etd/3211.

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The exponential power (EP) distribution is a very important distribution that was used by survival analysis and related with asymmetrical EP distribution. Many researchers have discussed statistical inference about the parameters in EP distribution using i.i.d random samples. However, sometimes available data might contain only record values, or it is more convenient for researchers to collect record values. We aim to resolve this problem. We estimated two parameters of the EP distribution by MLE using upper record values. According to simulation study, we used the Bias and MSE of the estimators for studying the efficiency of the proposed estimation method. Then, we discussed the prediction on the next upper record value by known upper record values. The study concluded that MLEs of EP distribution parameters by upper record values has satisfactory performance. Also, prediction of the next upper record value performed well
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Liu, Tianyi. "Power Comparison of Some Goodness-of-fit Tests." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2572.

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There are some existing commonly used goodness-of-fit tests, such as the Kolmogorov-Smirnov test, the Cramer-Von Mises test, and the Anderson-Darling test. In addition, a new goodness-of-fit test named G test was proposed by Chen and Ye (2009). The purpose of this thesis is to compare the performance of some goodness-of-fit tests by comparing their power. A goodness-of-fit test is usually used when judging whether or not the underlying population distribution differs from a specific distribution. This research focus on testing whether the underlying population distribution is an exponential distribution. To conduct statistical simulation, SAS/IML is used in this research. Some alternative distributions such as the triangle distribution, V-shaped triangle distribution are used. By applying Monte Carlo simulation, it can be concluded that the performance of the Kolmogorov-Smirnov test is better than the G test in many cases, while the G test performs well in some cases.
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Kubrycht, Pavel. "Analýza síly testů hypotéz." Master's thesis, Vysoká škola ekonomická v Praze, 2016. http://www.nusl.cz/ntk/nusl-264617.

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This Thesis deals with the power of a statistical test and the associated problem of determining the appropriate sample size. It should be large enough to meet the requirements of the probabilities of errors of both the first and second kind. The aim of this Thesis is to demonstrate theoretical methods that result in derivation of formulas for minimum sample size determination. For this Thesis, three important probability distributions have been chosen: Normal, Bernoulli, and Exponential.
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Mbah, Alfred Kubong. "On the theory of records and applications." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002216.

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Delgado, José Julio Flores. "Modelos flexíveis para dados de tempos de vida em um cenário de riscos competitivos e mecanismos de ativação latentes." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-18092014-163743/.

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Na literatura da área da análise de sobrevivência existem os modelos tradicionais, ou sem fração de cura, e os modelos de longa duração, ou com fração de cura. Recentemente tem sido proposto um modelo mais geral, conhecido como o modelo com fatores de risco latentes com esquemas de ativação. Nesta tese são deduzidas novas propriedades que possuem a função de sobrevivência, a função de taxa de risco e o valor esperado, quando e considerado o modelo com fatores de risco latentes. Estas propriedades são importantes, já que muitos outros modelos que tem aparecido na literatura recentemente podem ser considerados como casos particulares do modelo com fatores de risco latentes. Além disto, são propostos novos modelos de sobrevivência e estes são aplicados a conjuntos de dados reais. Também é realizado um estudo de simulação e uma análise de sensibilidade, para mostrar a qualidade destes modelos
In the survival literature we can find traditional models without cure fraction and longterm models with cure fraction. A more general risk factor model with latent activation scheme has been recently proposed. In this thesis we deduce new properties for the survival function, hazard function and expected value for this model. Since many recent survival models can be regarded as particular cases of the risk factor model with latent activation scheme these properties are of great relevance. In addition we propose new survival models that are applied to real data examples. A simulation and sensibility analysis are also performed to asses the goodness of fit of these models
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Saaidia, Noureddine. "Sur les familles des lois de fonction de hasard unimodale : applications en fiabilité et analyse de survie." Thesis, Bordeaux 1, 2013. http://www.theses.fr/2013BOR14794/document.

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En fiabilité et en analyse de survie, les distributions qui ont une fonction de hasard unimodale ne sont pas nombreuses, qu'on peut citer: Gaussienne inverse ,log-normale, log-logistique, de Birnbaum-Saunders, de Weibull exponentielle et de Weibullgénéralisée. Dans cette thèse, nous développons les tests modifiés du Chi-deux pour ces distributions tout en comparant la distribution Gaussienne inverse avec les autres. Ensuite nousconstruisons le modèle AFT basé sur la distribution Gaussienne inverse et les systèmes redondants basés sur les distributions de fonction de hasard unimodale
In reliability and survival analysis, distributions that have a unimodalor $\cap-$shape hazard rate function are not too many, they include: the inverse Gaussian,log-normal, log-logistic, Birnbaum-Saunders, exponential Weibull and power generalized Weibulldistributions. In this thesis, we develop the modified Chi-squared tests for these distributions,and we give a comparative study between the inverse Gaussian distribution and the otherdistributions, then we realize simulations. We also construct the AFT model based on the inverseGaussian distribution and redundant systems based on distributions having a unimodal hazard ratefunction
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Fujdiak, Radek. "Analýza a optimalizace datové komunikace pro telemetrické systémy v energetice." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2017. http://www.nusl.cz/ntk/nusl-358408.

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Telemetry system, Optimisation, Sensoric networks, Smart Grid, Internet of Things, Sensors, Information security, Cryptography, Cryptography algorithms, Cryptosystem, Confidentiality, Integrity, Authentication, Data freshness, Non-Repudiation.
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Teng-Chieh, Chuang, and 莊登捷. "Application of L-moment in 4-parameter Asymmetric Exponential Power distribution using financial data." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/y6xp46.

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碩士
逢甲大學
統計學系統計與精算碩士班
104
Many data are non-normal distributed; in particular, finance data are more diverse which need to be described by parameter rich distributions. However, such distributions are not easily to the parameter estimations. We use method of L moment to estimate parameters in AEP4, GLD, GEV distributions, and apply them to fit several stock market price data.
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Liao, Hung-mei, and 廖虹媚. "A Simulation Study on the MLE of the Exponential Power Distribution Under Type-II Censoring." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/63564265979933258594.

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碩士
輔仁大學
數學系研究所
97
The three-parameter Exponential Power distribution EP(mu,sigma,p) was proposed by Subbotin in 1923. It is also called the normal distribution of order p by Vianelli in 1963. Some probability and statistical problems had been discussed by G. Agro (1995) for complete data. In this paper, the maximum likelihood estimators of parameters of EP (mu,sigma,p) are discussed for censored type II data.
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El-Khatib, Mayar. "Highway Development Decision-Making Under Uncertainty: Analysis, Critique and Advancement." Thesis, 2010. http://hdl.handle.net/10012/5741.

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While decision-making under uncertainty is a major universal problem, its implications in the field of transportation systems are especially enormous; where the benefits of right decisions are tremendous, the consequences of wrong ones are potentially disastrous. In the realm of highway systems, decisions related to the highway configuration (number of lanes, right of way, etc.) need to incorporate both the traffic demand and land price uncertainties. In the literature, these uncertainties have generally been modeled using the Geometric Brownian Motion (GBM) process, which has been used extensively in modeling many other real life phenomena. But few scholars, including those who used the GBM in highway configuration decisions, have offered any rigorous justification for the use of this model. This thesis attempts to offer a detailed analysis of various aspects of transportation systems in relation to decision-making. It reveals some general insights as well as a new concept that extends the notion of opportunity cost to situations where wrong decisions could be made. Claiming deficiency of the GBM model, it also introduces a new formulation that utilizes a large and flexible parametric family of jump models (i.e., Lévy processes). To validate this claim, data related to traffic demand and land prices were collected and analyzed to reveal that their distributions, heavy-tailed and asymmetric, do not match well with the GBM model. As a remedy, this research used the Merton, Kou, and negative inverse Gaussian Lévy processes as possible alternatives. Though the results show indifference in relation to final decisions among the models, mathematically, they improve the precision of uncertainty models and the decision-making process. This furthers the quest for optimality in highway projects and beyond.
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Books on the topic "Asymmetric exponential power distribution"

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Lemeshko, Boris, and Pavel Blinov. Criteria for checking deviations from the exponential law. Application manual. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1097477.

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The monograph is intended for specialists who are more or less faced with the issues of statistical data analysis, processing of experimental results, and using statistical methods to analyze various aspects and trends of the surrounding reality. The guide discusses the application of statistical criteria aimed at testing the hypothesis that the analyzed sample belongs to the exponential (exponential) distribution law. The disadvantages and advantages of various criteria are indicated. Estimates of the power of the criteria and results of comparative analysis of the criteria are given, as well as tables containing percentage points and statistical distribution models necessary for applying the criteria. Following the recommendations will ensure the correctness and validity of statistical conclusions when analyzing data. It will be useful for engineers, researchers, specialists in various fields (doctors, biologists, sociologists, economists, etc.) who are faced with the need for statistical analysis of experimental results, as well as University teachers, graduate students and students.
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Cheng, Russell. Box-Cox Transformations. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0010.

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This chapter examines the well-known Box-Cox method, which transforms a sample of non-normal observations into approximately normal form. Two non-standard aspects are highlighted. First, the likelihood of the transformed sample has an unbounded maximum, so that the maximum likelihood estimate is not consistent. The usually suggested remedy is to assume grouped data so that the sample becomes multinomial. An alternative method is described that uses a modified likelihood similar to the spacings function. This eliminates the infinite likelihood problem. The second problem is that the power transform used in the Box-Cox method is left-bounded so that the transformed observations cannot be exactly normal. This biases estimates of observational probabilities in an uncertain way. Moreover, the distributions fitted to the observations are not necessarily unimodal. A simple remedy is to assume the transformed observations have a left-bounded distribution, like the exponential; this is discussed in detail, and a numerical example given.
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Book chapters on the topic "Asymmetric exponential power distribution"

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Li, Helong, Tianqi Luo, Liuling Li, and Tiancheng Liu. "Measuring Systemic Risk in the Chinese Financial System Based on Asymmetric Exponential Power Distribution." In Recent Developments in Data Science and Business Analytics, 225–32. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-72745-5_24.

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Miguel Marín, J., and Genaro Sucarrat. "Modelling the skewed exponential power distribution in finance." In Mathematical and Statistical Methods for Actuarial Sciences and Finance, 279–86. Milano: Springer Milan, 2012. http://dx.doi.org/10.1007/978-88-470-2342-0_33.

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Awadalla, Saria Salah, Govind S. Mudholkar, and Ziji Yu. "The Power M-Gaussian Distribution: An R-Symmetric Analog of the Exponential-Power Distribution." In Mathematical and Statistical Applications in Life Sciences and Engineering, 141–57. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5370-2_6.

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Friedman, Lionel, and Michael Pollak. "Thermoelectric Power of Anderson-Mott Insulators with an Exponential Density of States Distribution." In Disordered Semiconductors, 745–49. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4613-1841-5_76.

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Yakovenko, Victor M., and A. Christian Silva. "Two-class Structure of Income Distribution in the USA: Exponential Bulk and Power-law Tail." In New Economic Windows, 15–23. Milano: Springer Milan, 2005. http://dx.doi.org/10.1007/88-470-0389-x_2.

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Volochiy, Bogdan, Vitaliy Yakovyna, Oleksandr Mulyak, and Vyacheslav Kharchenko. "Availability Model of Critical Nuclear Power Plant Instrumentation and Control System with Non-Exponential Software Update Distribution." In Information and Communication Technologies in Education, Research, and Industrial Applications, 3–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-76168-8_1.

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Osagie Adenomon, Monday. "Financial Time Series Analysis via Backtesting Approach." In Linked Open Data - Applications, Trends and Future Developments. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94112.

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This book chapter investigated the place of backtesting approach in financial time series analysis in choosing a reliable Generalized Auto-Regressive Conditional Heteroscedastic (GARCH) Model to analyze stock returns in Nigeria. To achieve this, The chapter used a secondary data that was collected from www.cashcraft.com under stock trend and analysis. Daily stock price was collected on Zenith bank stock price from October 21st 2004 to May 8th 2017. The chapter used nine different GARCH models (standard GARCH (sGARCH), Glosten-Jagannathan-Runkle GARCH (gjrGARCH), Exponential GARCH (Egarch), Integrated GARCH (iGARCH), Asymmetric Power Autoregressive Conditional Heteroskedasticity (ARCH) (apARCH), Threshold GARCH (TGARCH), Non-linear GARCH (NGARCH), Nonlinear (Asymmetric) GARCH (NAGARCH) and The Absolute Value GARCH (AVGARCH) with maximum lag of 2. Most the information criteria for the sGARCH model were not available due to lack of convergence. The lowest information criteria were associated with apARCH (2,2) with Student t-distribution followed by NGARCH(2,1) with skewed student t-distribution. The backtesting result of the apARCH (2,2) was not available while eGARCH(1,1) with Skewed student t-distribution, NGARCH(1,1), NGARCH(2,1), and TGARCH (2,1) failed the backtesting but eGARCH (1,1) with student t-distribution passed the backtesting approach. Therefore with the backtesting approach, eGARCH(1,1) with student distribution emerged the superior model for modeling Zenith Bank stock returns in Nigeria. This chapter recommended the backtesting approach to selecting reliable GARCH model.
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Durante, Massimo. "The asymmetric distribution of data and rights." In Computational Power, 127–46. Routledge, 2021. http://dx.doi.org/10.4324/9781003098683-8.

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"Appendix F Standard Weibull and Exponential Distribution." In Reliability Analysis for Asset Management of Electric Power Grids, 423–28. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119125204.app6.

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Jakóbczak, Dariusz Jacek. "Contour Reconstruction." In Natural Language Processing, 584–618. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch029.

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The method of Probabilistic Features Combination (PFC) enables interpolation and modeling of high-dimensional N data using features' combinations and different coefficients γ: polynomial, sinusoidal, cosinusoidal, tangent, cotangent, logarithmic, exponential, arc sin, arc cos, arc tan, arc cot or power function. Functions for γ calculations are chosen individually at each data modeling and it is treated as N-dimensional probability distribution function: γ depends on initial requirements and features' specifications. PFC method leads to data interpolation as handwriting or signature identification and image retrieval via discrete set of feature vectors in N-dimensional feature space. So PFC method makes possible the combination of two important problems: interpolation and modeling in a matter of image retrieval or writer identification. Main features of PFC method are: PFC interpolation develops a linear interpolation in multidimensional feature spaces into other functions as N-dimensional probability distribution functions.
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Conference papers on the topic "Asymmetric exponential power distribution"

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Munoz-Minjares, Jorge, Yuriy S. Shmaliy, Ro Olivera-Reyna, Re Olivera-Reyna, and R. J. Perez-Chimal. "Jitter representation in SCNA breakpoints using asymmetric exponential power distribution." In 2017 14th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). IEEE, 2017. http://dx.doi.org/10.1109/iceee.2017.8108850.

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Thibault, Aymeric, and Pascal Bondon. "A multimodal asymmetric exponential power distribution: Application to risk measurement for financial high-frequency data." In 2017 25th European Signal Processing Conference (EUSIPCO). IEEE, 2017. http://dx.doi.org/10.23919/eusipco.2017.8081378.

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Kunjiratanachot, Natcha, and Winai Bodhisuwan. "Extended generalized exponential power series distribution." In PROCEEDINGS OF THE 13TH IMT-GT INTERNATIONAL CONFERENCE ON MATHEMATICS, STATISTICS AND THEIR APPLICATIONS (ICMSA2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5012245.

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Nagai, Baku M., Muhammed Sohel Rana, Kazumasa Ameku, and Junji Chinen. "Flow Around a Suddenly Start Rotating Circular Cylinder and Introduce a New Paradox." In ASME/JSME 2007 5th Joint Fluids Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/fedsm2007-37214.

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There have been many misunderstanding about the flow around vortices for example a stationary and/or moving vortex pair. The authors have pointed out that no fluid dynamics textbooks have accepted the existence of stationary or arbitral speed moving vortices. About the vortex flow, recently the authors have found a new analytic solution of the Navier-Stokes equations for two-dimensional flow around a suddenly start rotating circular cylinder. This analytic solution explains the velocity distribution, vorticity distribution with change in time, and boundary layer thickness close to a vortex filament because of the action of viscosity. The resulting solutions are involved simple exponential function. Authors present a new construction for the solution of the Navier-Stokes equations for suddenly start rotating circular cylinder. New solution is based on the concept of the similarity solution approach using similarity variable, dimensional analysis, initial, & boundary conditions. A brief theoretical discussion is presented about the suddenly start rotating circular cylinder. The second part of the paper deals with the analytic solution being compared with experimental results in various Reynolds number. A typical measurement is that of relaxation of rotational velocities when the cylinder is subjected only to the viscous resistance. To measure the velocity distribution of the flow the experiments were made with the help of tracer particle (aluminum powder and 150-grain diameter meshes) for water and oil (Super Mulpus 68). The effects of the Reynolds number on the laminar asymmetric flow structure in the flow region are studied. The induced speed distribution in the rotation of cylinder (diameter 10 mm) circumference has examined about the Reynolds number from 26 to 522 for water consequent cylinder rpm 10, 25, 50, 75, 100 and 0.12 to 2.32 for Super Mulpus 68 Oil consequent cylinder rpm 5, 10, 25, 50, 75, 100. The relation between the induced speeds after the time had passed enough and the various cylinder rotational speeds for both analytical and experimental results are shown. At lower Reynolds number experimental results are closer to theoretical results for a finite time condition, at that time there is exist vorticity around the cylinder. We can also establish that more difference between experimental and theoretical results with higher Reynolds number. An interesting phenomenon has been observed in the flow patterns at various Reynolds number and is discussed. Finally, authors have explained the significant difference between experimental and theoretical results and a new paradox has been introduced.
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Kwitt, Roland, Peter Meerwald, and Andreas Uhl. "Color-image watermarking using multivariate power-exponential distribution." In 2009 16th IEEE International Conference on Image Processing ICIP 2009. IEEE, 2009. http://dx.doi.org/10.1109/icip.2009.5413715.

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Zhiguo, Ren, and Li Jie. "Bayesian Estimation in Exponential Distribution under Progressively Type-II Censoring and an Asymmetric Loss Function." In 2012 Second International Conference on Intelligent System Design and Engineering Application (ISDEA). IEEE, 2012. http://dx.doi.org/10.1109/isdea.2012.657.

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Yang, Shenquan, Xiaochen Liu, Changhui Ma, and Guanglei Li. "Distribution Circuit Multiple Failures Analysis for Asymmetric System." In 2012 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2012. http://dx.doi.org/10.1109/appeec.2012.6307409.

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Guimaraes, Iochane Garcia, Vinicius Jacques Garcia, Daniel Pinheiro Bernardon, and Julio Schenato Fonini. "Exponential smoothing for emergency service forecasting in electric power distribution utilities." In 2016 51st International Universities Power Engineering Conference (UPEC). IEEE, 2016. http://dx.doi.org/10.1109/upec.2016.8114028.

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Zarate-Minano, Rafael, Francesca Madia Mele, and Federico Milano. "SDE-based wind speed models with Weibull distribution and exponential autocorrelation." In 2016 IEEE Power and Energy Society General Meeting (PESGM). IEEE, 2016. http://dx.doi.org/10.1109/pesgm.2016.7741754.

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Kankanala, P., A. Pahwa, and S. Das. "Exponential regression models for wind and lightning caused outages on overhead distribution feeders." In 2011 North American Power Symposium (NAPS 2011). IEEE, 2011. http://dx.doi.org/10.1109/naps.2011.6025110.

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