Academic literature on the topic 'Alpha estimation'
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Journal articles on the topic "Alpha estimation"
Christmann, A., and S. Van Aelst. "Robust estimation of Cronbach's alpha." Journal of Multivariate Analysis 97, no. 7 (August 2006): 1660–74. http://dx.doi.org/10.1016/j.jmva.2005.05.012.
Full textLisawadi, Supranee, S. Ejaz Ahmed, Orawan Reangsephet, and Muhammad Kashif Ali Shah. "Simultaneous estimation of Cronbach’s alpha coefficients." Communications in Statistics - Theory and Methods 48, no. 13 (November 22, 2018): 3236–57. http://dx.doi.org/10.1080/03610926.2018.1473882.
Full textErmilov, A. P., and V. P. Yaryna. "Radiometric alpha-emitting nuclide fallout estimation." Measurement Techniques 32, no. 11 (November 1989): 1114–17. http://dx.doi.org/10.1007/bf02159474.
Full textVrinda Devi, K. V., and Jayshree Ramkumar. "Effect of Alpha Energy on Track Characteristics." Oriental Journal of Physical Sciences 2, no. 2 (December 25, 2017): 75–80. http://dx.doi.org/10.13005/ojps02.02.05.
Full textLarsson, Pål G., Orvar Eeg-Olofsson, and Göran Lantz. "Alpha Frequency Estimation in Patients With Epilepsy." Clinical EEG and Neuroscience 43, no. 2 (March 22, 2012): 97–104. http://dx.doi.org/10.1177/1550059411433611.
Full textSwami, A., and B. Sadler. "Parameter estimation for linear alpha-stable processes." IEEE Signal Processing Letters 5, no. 2 (February 1998): 48–50. http://dx.doi.org/10.1109/97.659549.
Full textChandra, S. Ajay, and Masanobu Taniguchi. "Minimum alpha-divergence estimation for arch models." Journal of Time Series Analysis 27, no. 1 (January 2006): 19–39. http://dx.doi.org/10.1111/j.1467-9892.2005.00444.x.
Full textPayandeh Najafabadi, Amir T., and Maryam Omidi Najafabadi. "On the Bayesian estimation for Cronbach's alpha." Journal of Applied Statistics 43, no. 13 (March 23, 2016): 2416–41. http://dx.doi.org/10.1080/02664763.2016.1163529.
Full textBu, Yu De, Jing Chang Pan, and Jie Wang. "Estimation of Alpha-Element Abundance Ratios Based on Gaussian Process Regression." Applied Mechanics and Materials 543-547 (March 2014): 1685–88. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1685.
Full textKnizhnik, E. I., S. G. Stetsenko, and V. V. Tokarevsky. "Estimation of soil surface alpha activity and alpha contamination by polymer track detectors." International Journal of Radiation Applications and Instrumentation. Part D. Nuclear Tracks and Radiation Measurements 19, no. 1-4 (January 1991): 765–68. http://dx.doi.org/10.1016/1359-0189(91)90309-6.
Full textDissertations / Theses on the topic "Alpha estimation"
Hägglund, Kristoffer. "Symmetric alpha-Stable Adapted Demodulation and Parameter Estimation." Thesis, Luleå tekniska universitet, Signaler och system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-70719.
Full textJaoua, Nouha. "Estimation Bayésienne non Paramétrique de Systèmes Dynamiques en Présence de Bruits Alpha-Stables." Phd thesis, Ecole Centrale de Lille, 2013. http://tel.archives-ouvertes.fr/tel-00929691.
Full textFries, Sébastien. "Anticipative alpha-stable linear processes for time series analysis : conditional dynamics and estimation." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLG005/document.
Full textIn the framework of linear time series analysis, we study a class of so-called anticipative strictly stationary processes potentially depending on all the terms of an independent and identically distributed alpha-stable errors sequence.Focusing first on autoregressive (AR) processes, it is shown that higher order conditional moments than marginal ones exist provided the characteristic polynomials admits at least one root inside the unit circle. The forms of the first and second order moments are obtained in special cases.The least squares method is shown to provide a consistent estimator of an all-pass causal representation of the process, the validity of which can be tested by a portmanteau-type test. A method based on extreme residuals clustering is proposed to determine the original AR representation.The anticipative stable AR(1) is studied in details in the framework of bivariate alpha-stable random vectors and the functional forms of its first four conditional moments are obtained under any admissible parameterisation.It is shown that during extreme events, these moments become equivalent to those of a two-point distribution charging two polarly-opposite future paths: exponential growth or collapse.Parallel results are obtained for the continuous time counterpart of the AR(1), the anticipative stable Ornstein-Uhlenbeck process.For infinite alpha-stable moving averages, the conditional distribution of future paths given the observed past trajectory during extreme events is derived on the basis of a new representation of stable random vectors on unit cylinders relative to semi-norms.Contrary to the case of norms, such representation yield a multivariate regularly varying tails property appropriate for prediction purposes, but not all stable vectors admit such a representation.A characterisation is provided and it is shown that finite length paths of a stable moving average admit such representation provided the process is "anticipative enough".Processes resulting from the linear combination of stable moving averages are encompassed, and the conditional distribution has a natural interpretation in terms of pattern identification
Azzaoui, Nourddine. "Analyse et Estimations Spectrales des Processus alpha-Stables non-Stationnaires." Phd thesis, Université de Bourgogne, 2006. http://tel.archives-ouvertes.fr/tel-00138027.
Full textPoulin, Nicolas. "Estimation de la fonction des quantiles pour des données tronquées." Littoral, 2006. http://www.theses.fr/2006DUNK0159.
Full textIn the left-truncation model, the pair of random variables Y and T with respective distribution function F and G are observed only if Y ≥ T. Let (Yi,Ti) ; 1 ≤ i ≤ n be an observed sample of this pair of random variables. The quantile function of F is estimated by the quantile function of the Lynden-Bell (1971) estimator. After giving some results of the literature in the case of independant data, we consider the α-mixing framework. We obtain strong consistency with rates, give a strong representation for the estimator of the quantile as a mean of random variables with a neglible rest and asymptotic normality. As regards the second topic of this thesis, we consider a multidimensionnal explanatory random variable X of Y which plays the role of a response. We establish strong consitency and asymptotic normality of the conditional distribution function and those of the conditional quantile function of Y given X when Y is subject to truncation. Simulations are drawn to illustrate the results for finite samples
Fourt, Olivier. "Traitement des signaux à phase polynomiale dans des environnements fortement bruités : séparation et estimation des paramètres." Paris 11, 2008. http://www.theses.fr/2008PA112064.
Full textThe research works of this thesis deal with the processings of polynomial phase signals in heavily corrupted environnements, whatsoever noise with high levels or impulse noise, noise modelled by the use of alpha-stable laws. Noise robustness is a common task in signal processing and if several algorithms are able to work with high gaussian noise level, the presence of impulse noise often leads to a great loss in performances or makes algorithms unable to work. Recently, some algorithms have been built in order to support impulse noise environnements but with one limit: the achievable results decrease with gaussian noise situations and thus needs as a first step to select the good method versus the kind of the noise. So one of the key points of this thesis was building algorithms who were robust to the kind of the noise which means that they have similar performances with gaussian noise or alpha-stable noise. The second key point was building fast algorithms, something difficult to add to robustness
Ferrani, Yacine. "Sur l'estimation non paramétrique de la densité et du mode dans les modèles de données incomplètes et associées." Thesis, Littoral, 2014. http://www.theses.fr/2014DUNK0370/document.
Full textThis thesis deals with the study of asymptotic properties of e kernel (Parzen-Rosenblatt) density estimate under associated and censored model. In this setting, we first recall with details the existing results, studied in both i.i.d. and strong mixing condition (α-mixing) cases. Under mild standard conditions, it is established that the strong uniform almost sure convergence rate, is optimal. In the part dedicated to the results of this thesis, two main and original stated results are presented : the first result concerns the strong uniform consistency rate of the studied estimator under association hypothesis. The main tool having permitted to achieve the optimal speed, is the adaptation of the Theorem due to Doukhan and Neumann (2007), in studying the term of fluctuations (random part) of the gap between the considered estimator and the studied parameter (density). As an application, the almost sure convergence of the kernel mode estimator is established. The stated results have been accepted for publication in Communications in Statistics-Theory & Methods ; The second result establishes the asymptotic normality of the estimator studied under the same model and then, constitute an extension to the censored case, the result stated by Roussas (2000). This result is submitted for publication
Silva, Francyelle de Lima e. "Estimação de cópulas via ondaletas." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-03122014-214943/.
Full textCopulas are important tools for describing the dependence structure between random variables and stochastic processes. Recently some nonparametric estimation procedures have appeared, using kernels and wavelets. In this context, knowing that a copula function can be expanded in a wavelet basis, we have proposed a nonparametric copula estimation procedure through wavelets for independent data and times series under alpha-mixing condition. The main feature of this estimator is the copula function estimation without assumptions about the data distribution and without ARMA - GARCH modeling, like in parametric copula estimation. Convergence rates for the estimator were computed, showing the estimator consistency. Some simulation studies were made, as well as analysis of real data sets.
Khrifi, Saâd. "Etude de la densité électronique précise du composé "2-amino-5-nitropyridinium-L-monohydrogènetartrate" : estimation des propriétés optiques linéaire [alpha] et non linéaire [bêta] à partir des propriétés électrostatiques." Lille 1, 1996. http://www.theses.fr/1996LIL10005.
Full textBoulanger, Frédéric. "Modelisation et simulation de variables regionalisees par des fonctions aleatoires stables." Paris, ENMP, 1990. http://www.theses.fr/1990ENMP0195.
Full textBooks on the topic "Alpha estimation"
Ilow, Jacek. Signal processing in alpha-stable noise environments: Noise modeling, detection and estimation. 1996.
Find full textBook chapters on the topic "Alpha estimation"
Raus, M., and W. Ameling. "A Parallel Algorithm for a Dynamic Eta/ Alpha Estimation in Backpropagation Learning." In ICANN ’94, 639–42. London: Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2097-1_150.
Full textYou, Jiwoo, Scott C. Trager, and Michael H. F. Wilkinson. "A Fast, Memory-Efficient Alpha-Tree Algorithm Using Flooding and Tree Size Estimation." In Lecture Notes in Computer Science, 256–67. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20867-7_20.
Full textDhokne, Shivani V., Vaishali R. Undale, Dinesh Chandra Agrawal, and Sharad D. Pawar. "Alpha-Synuclein: Biomarker for Parkinson’s Disease, It’s Estimation Methods, and Targeted Medicinal Therapies." In Medicinal Herbs and Fungi, 227–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4141-8_9.
Full textAmador, Andreia, Florbela P. Fernandes, Lino O. Santos, Andrey Romanenko, and Ana Maria A. C. Rocha. "Parameter Estimation of the Kinetic $$\alpha $$α-Pinene Isomerization Model Using the MCSFilter Algorithm." In Computational Science and Its Applications – ICCSA 2018, 624–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95165-2_44.
Full textKoura, H., T. Tachibana, and M. Yamada. "Estimation of alpha-decay half-lives and fission barriers in the superheavy nuclidic region from the viewpoint of a new mass formula." In Exotic Nuclei and Atomic Masses, 379. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-642-55560-2_143.
Full textDavis, Airiel M., Kristen E. Thane, and Andrew M. Hoffman. "Practical Methods for Assessing Emphysema Severity Based on Estimation of Linear Mean Intercept (Lm) in the Context of Animal Models of Alpha-1 Antitrypsin Deficiency." In Methods in Molecular Biology, 93–106. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-7163-3_9.
Full textDufour, Jean-Marie, Alain Trognon, and Purevdorj Tuvaandorj. "Generalized $$C(\alpha )$$ Tests for Estimating Functions with Serial Dependence." In Advances in Time Series Methods and Applications, 151–78. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6568-7_7.
Full textBeltrame, Federico, Roberto Cappelletto, and Gabriele Toniolo. "The Capital at Risk Model Applied to the Firms Alpha, Beta and Gamma." In Estimating SMEs Cost of Equity Using a Value at Risk Approach, 105–66. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137389305_6.
Full textAtwood, Joseph A., and Saleem Shaik. "Quantile DEA: Estimating qDEA-alpha Efficiency Estimates with Conventional Linear Programming." In Productivity and Inequality, 305–26. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68678-3_14.
Full textJing, Liu, Wu Haifeng, Li Yuexun, Tan Yuan, and Deng Zhongting. "The Tag Estimation and Frame Length Determination with Capture Effect in Dynamic Frame Slotted ALOHA about RFID." In Advances in Intelligent and Soft Computing, 117–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27329-2_16.
Full textConference papers on the topic "Alpha estimation"
Matsuyama, Yasuo, and Ryunosuke Hayashi. "Alpha-EM gives fast Hidden Markov Model estimation: Derivation and evaluation of alpha-HMM." In 2010 International Joint Conference on Neural Networks (IJCNN). IEEE, 2010. http://dx.doi.org/10.1109/ijcnn.2010.5596959.
Full textMatsuyama, Yasuo. "Hidden Markov model estimation based on alpha-EM algorithm: Discrete and continuous alpha-HMMs." In 2011 International Joint Conference on Neural Networks (IJCNN 2011 - San Jose). IEEE, 2011. http://dx.doi.org/10.1109/ijcnn.2011.6033304.
Full textBibalan, Mohammadreza Hassannejad, and Hamidreza Amindavar. "On parameter estimation of symmetric alpha-stable distribution." In 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016. http://dx.doi.org/10.1109/icassp.2016.7472494.
Full textKohler, Rolf, Michael Hirsch, Bernhard Scholkopf, and Stefan Harmeling. "Improving alpha matting and motion blurred foreground estimation." In 2013 20th IEEE International Conference on Image Processing (ICIP). IEEE, 2013. http://dx.doi.org/10.1109/icip.2013.6738711.
Full textChen, Mei-Ching, Sos S. Agaian, C. L. Philip Chen, and Benjamin M. Rodriguez. "Alpha-trimmed image estimation for JPEG steganography detection." In 2009 IEEE International Conference on Systems, Man and Cybernetics - SMC. IEEE, 2009. http://dx.doi.org/10.1109/icsmc.2009.5346778.
Full textJia, Tengjie. "Factor model estimation by using the alpha-EM algorithm." In 2013 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2013. http://dx.doi.org/10.1109/globalsip.2013.6737106.
Full textLi, Xujie, Lianwen Jin, and Xutao Li. "Joint Parameters Estimation for General Alpha Stable Random Noise." In 2008 Congress on Image and Signal Processing. IEEE, 2008. http://dx.doi.org/10.1109/cisp.2008.123.
Full textWang, Chunyang, Xuelian Liu, and Bin Fan. "Estimation method for weak sinusoidal amplitude in alpha noise." In 2014 12th International Conference on Signal Processing (ICSP 2014). IEEE, 2014. http://dx.doi.org/10.1109/icosp.2014.7014967.
Full textHao, Yan-ling, Zhi-ming Shan, Feng Shen, and Dong-ze Lv. "Parameter estimation of alpha-stable distributions based on MCMC." In 2011 3rd International Conference on Advanced Computer Control (ICACC). IEEE, 2011. http://dx.doi.org/10.1109/icacc.2011.6016424.
Full textPrice, Brian L., Bryan S. Morse, and Scott Cohen. "Simultaneous foreground, background, and alpha estimation for image matting." In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2010. http://dx.doi.org/10.1109/cvpr.2010.5539895.
Full textReports on the topic "Alpha estimation"
Pilchak, Adam L., Reji John, Robert A. Brockman, III Porter, and W. J. Estimation of Grain Boundary Diffusivity in Near-Alpha Titanium Polycrystals (Preprint). Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada553359.
Full textYuan, Ding. Estimating the Effect of Bandwidth Limitations on Alpha Measurement. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1735834.
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