Relevant bibliographies by topics / Parametric distribution

Contents

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

Academic literature on the topic 'Parametric distribution'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Parametric distribution"

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Szűcs, Gábor. "Non-parametric bootstrap tests for parametric distribution families." Acta Scientiarum Mathematicarum 77, no. 3-4 (2011): 703–23. http://dx.doi.org/10.1007/bf03651319.

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J, Kiche, Oscar Ngesa, and George Orwa. "On Generalized Gamma Distribution and Its Application to Survival Data." International Journal of Statistics and Probability 8, no. 5 (2019): 65. http://dx.doi.org/10.5539/ijsp.v8n5p65.

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The generalized gamma distribution is a continuous probability distribution with three parameters. It is a generalization of the two-parameter gamma distribution. Since many distributions commonly used for parametric models in survival analysis (such as the Exponential distribution , the Weibull distribution and the Gamma distribution) are special cases of the generalized gamma, it is sometimes used to determine which parametric model is appropriate for a given set of data. Generalized gamma distribution is one of the distributions used in frailty modeling. In this study , it is shown that gen
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J, Kiche, Oscar Ngesa, and George Orwa. "On Generalized Gamma Distribution and Its Application to Survival Data." International Journal of Statistics and Probability 8, no. 5 (2019): 85. http://dx.doi.org/10.5539/ijsp.v8n5p85.

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The generalized gamma distribution is a continuous probability distribution with three parameters. It is a generalization of the two-parameter gamma distribution. Since many distributions commonly used for parametric models in survival analysis (such as the Exponential distribution , the Weibull distribution and the Gamma distribution) are special cases of the generalized gamma, it is sometimes used to determine which parametric model is appropriate for a given set of data. Generalized gamma distribution is one of the distributions used in frailty modeling. In this study , it is shown that gen
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Wang Hongying, 王红英. "Optical parametric fluorescence lifetime distribution." High Power Laser and Particle Beams 23, no. 9 (2011): 2329–34. http://dx.doi.org/10.3788/hplpb20112309.2329.

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Dong, Alice X. D., Jennifer S. K. Chan, and Gareth W. Peters. "RISK MARGIN QUANTILE FUNCTION VIA PARAMETRIC AND NON-PARAMETRIC BAYESIAN APPROACHES." ASTIN Bulletin 45, no. 3 (2015): 503–50. http://dx.doi.org/10.1017/asb.2015.8.

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AbstractWe develop quantile functions from regression models in order to derive risk margin and to evaluate capital in non-life insurance applications. By utilizing the entire range of conditional quantile functions, especially higher quantile levels, we detail how quantile regression is capable of providing an accurate estimation of risk margin and an overview of implied capital based on the historical volatility of a general insurers loss portfolio. Two modeling frameworks are considered based around parametric and non-parametric regression models which we develop specifically in this insura
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Gurcan, Mehmet, and Arzu Demirelli. "Some important details on Richard growth model." Thermal Science 23, Suppl. 6 (2019): 1901–8. http://dx.doi.org/10.2298/tsci190108350g.

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The distribution of the data is very important in all of the parametric methods used in the applied statistics. More clearly, if the experimental data fit well to the theoretical distribution, the results will be more efficient in parametric methods. The adaptability of experimental data to a theoretical distribution depends on the flexibility of the theoretical distribution used. If the flexibility of the theoretical distribution is sufficient, it can be used easily for experimental data. Most of the theoretical distributions have shape and location parameters. However, these two parameters a
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Zheng, John Xu. "A CONSISTENT TEST OF CONDITIONAL PARAMETRIC DISTRIBUTIONS." Econometric Theory 16, no. 5 (2000): 667–91. http://dx.doi.org/10.1017/s026646660016503x.

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This paper proposes a new nonparametric test for conditional parametric distribution functions based on the first-order linear expansion of the Kullback–Leibler information function and the kernel estimation of the underlying distributions. The test statistic is shown to be asymptotically distributed standard normal under the null hypothesis that the parametric distribution is correctly specified, whereas asymptotically rejecting the null with probability one if the parametric distribution is misspecified. The test is also shown to have power against any local alternatives approaching the null
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Ncwane, Siyanda, and Komla A. Folly. "Modeling Wind Speed Using Parametric and Non-Parametric Distribution Functions." IEEE Access 9 (2021): 104501–12. http://dx.doi.org/10.1109/access.2021.3099985.

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Wang, Yue, Valerie M. LeMay, and Peter L. Marshall. "Relative efficiency and reliability of parametric and nonparametric sequential accuracy testing plans." Canadian Journal of Forest Research 26, no. 10 (1996): 1724–30. http://dx.doi.org/10.1139/x26-196.

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The relative efficiency and reliability of parametric and nonparametric sequential accuracy testing plans were investigated using Monte Carlo techniques with normal and non-normal distribution generators. For the normal distributions, zero (no equation bias) and nonzero (some equation bias) means were simulated. For normal distributions with a nonzero mean, a modified nonparametric testing plan was developed and compared with the bias-free parametric test. The parametric testing plans resulted in average sample numbers to reach a terminal decision that were 20–40% smaller than the nonparametri
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Cornea-Madeira, Adriana, and Russell Davidson. "A PARAMETRIC BOOTSTRAP FOR HEAVY-TAILED DISTRIBUTIONS." Econometric Theory 31, no. 3 (2014): 449–70. http://dx.doi.org/10.1017/s0266466614000395.

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It is known that Efron’s bootstrap of the mean of a distribution in the domain of attraction of the stable laws with infinite variance is not consistent, in the sense that the limiting distribution of the bootstrap mean is not the same as the limiting distribution of the mean from the real sample. Moreover, the limiting bootstrap distribution is random and unknown. The conventional remedy for this problem, at least asymptotically, is either the m out of n bootstrap or subsampling. However, we show that both these procedures can be unreliable in other than very large samples. We introduce a par
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Dissertations / Theses on the topic "Parametric distribution"

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Ho, Pak-kei. "Parametric and non-parametric inference for Geometric Process." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31483859.

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Ho, Pak-kei, and 何柏基. "Parametric and non-parametric inference for Geometric Process." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B31483859.

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Zheng, Wanyu. "Efficiency measurement : a methodological comparison of parametric and non-parametric approaches." Thesis, University of Bradford, 2013. http://hdl.handle.net/10454/7294.

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The thesis examines technical efficiency using frontier efficiency estimation techniques from parametric and non-parametric approaches. Five different frontier efficiency estimation techniques are considered which are SFA, DFA, DEA-CCR, DEA-BCC and DEA-RAM. These techniques are then used on an artificially generated panel dataset using a two-input two-output production function framework based on characteristics of German life-insurers. The key contribution of the thesis is firstly, a study that uses simulated panel dataset to estimate frontier efficiency techniques and secondly, a research fr
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Mu, Mu. "Parametric assessment of video quality in content distribution networks." Thesis, Lancaster University, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.587509.

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IP-based packet-switched networks have become one of the main content distribution platforms for emerging multimedia services such as IPTV, thanks to the rapidly growing bandwidth and exclusive internetworking and interactivity features of IP-based networks. Meanwhile, high quality video content services are becoming particularly popular within content delivery networks (CDN). During content distribution, packets of encoded video streams can be delayed, corrupted or dropped due to network impairments in packet-switched networks. This leads to perceptual quality degradations of the delivered co
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Noufaily, Angela. "Parametric quantile regression based on the generalised gamma distribution." Thesis, Open University, 2011. http://oro.open.ac.uk/54496/.

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Quantile regression offers an extension to regression analysis where a modified version of the least squares method allows the fitting of quantiles at every percentile of the data rather than the mean only. Using the well-known three-parameter generalised gamma distribution to model variation in data, we present a parametric quantile regression study for positive univariate reference charts. The study constitutes an overall package that includes all different stages of parametric modeling starting from model identification to parameter estimation, model selection and finally model checking. We
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Kim, Minjoo. "Three essays in semi-parametric modelling of time-varying distribution." Thesis, University of Leeds, 2011. http://etheses.whiterose.ac.uk/1916/.

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During the last century we have been frustrated by the number of economic crises which trigger extreme uncertainty in the global economic system. Economic agents are sensitive to the uncertainty of inflations, as well as to asset values, for survival in such circumstances. Hence, modern finance and monetary economics emphasise that risk modelling of asset values and inflations are key inputs to financial theory and monetary policy. The risk is completely described by the distribution which is verified to be time-varying and non-normal. Although various parametric and non-parametric approaches
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Rutikanga, Justin Ushize. "Parametric deconvolution for a common heteroscedastic case." Thesis, University of the Western Cape, 2016. http://hdl.handle.net/11394/5185.

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>Magister Scientiae - MSc<br>There exists an extensive statistics literature dealing with non-parametric deconvolution, the estimation of the underlying population probability density when sample values are subject to measurement errors. In parametric deconvolution, on the other hand, the data are known to be from a specific distribution. In this case the parameters of the distribution can be estimated by e.g. maximum likelihood. In realistic cases the measurement errors may be heteroscedastic and there may be unknown parameters associated with the distribution. The specific realistic case is
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Viljoen, Hercules Johannes. "A comparative study of non-parametric distribution function estimators / H.J. Viljoen." Thesis, North-West University, 2007. http://hdl.handle.net/10394/4176.

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The purpose of this study is to investigate a procedure for estimating the bandwidth in kernel distribution function estimation based on the bootstrap. To investigate to performance of the estimator) simulation studies were performed comparing the above mentioned estimator to estimators suggested by Altman and Leger (1995) and Van Graan (1983). The findings and conclusion of this study are reported.<br>Thesis (M.Sc. (Statistics))--North-West University, Potchefstroom Campus, 2008.
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Hoare, Armando. "Parametric, non-parametric and statistical modeling of stony coral reef data." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002470.

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VARGAS, SORAIDA AGUILAR. "FORECASTING PROBABILISTIC DENSITY DISTRIBUTION OF WIND POWER GENERATION USING NON-PARAMETRIC TECHNIQUES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2015. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=26821@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>Como resultado do processo de contração de novos Leilões de energia eólica e a entrada em operação de novos parques eólicos ao sistema elétrico Brasileiro, é necessário que o planejamento da operação das atividades de curto prazo como a regulação, atendimento da carga, balanceamento e programação do despacho das unidades geradoras entre outras atividades, seja efetuado de tal que os riscos técnicos e financeiros sejam minimizados. Porém esta não é uma tarefa simples, já que for
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Books on the topic "Parametric distribution"

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Geisser, Seymour. Modes of parametric statistical inference. Wiley-Interscience, 2006.

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O, Johnson Wesley, ed. Modes of parametric statistical inference. Wiley, 2005.

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Geisser, Seymour. Modes of parametric statistical inference. Wiley, 2004.

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Lawrence, Myers, Moya Jacqueline, Research Triangle Institute, and National Center for Environmental Assessment (Washington, D.C.), eds. Options for development of parametric probability distributions for exposure factors. National Center for Environmental Assessment--Washington Office, Office of Research and Development, U.S. Environmental Protection Agency, 2000.

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Veiderpass, Ann. Swedish retail electricity distribution: A non-parametric approach to efficiency and productivity change. [Gothenburg School of Economics?], 1993.

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Chen, Jie. Parametric statistical change point analysis: With applications to genetics, medicine, and finance. 2nd ed. Birkhäuser, 2012.

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Martin, Vance L. A generalized parametric exponential family approach to modelling the distribution of exchange rate movements. Dept. of Economics, University of Melbourne, 1991.

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Neumark, David. The effects of minimum wages on the distribution of family incomes: A non-parametric analysis. National Bureau of Economic Research, 1998.

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Center, Langley Research, ed. A parametric study of accelerations of an airplane due to a wake vortex system. National Aeronautics and Space Administration, Langley Research Center, 1999.

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Rozendaal, Rodger A. Variable Sweep Transition Flight Experiment (VSTFE): Parametric Pressure Distribution Boundary Layer Stability Study and wing glove design task. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1988.

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Book chapters on the topic "Parametric distribution"

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Matloff, Norman. "Discrete Parametric Distribution Families." In Probability and Statistics for Data Science. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780429401862-5.

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Barndorff-Nielsen, Ole E. "Distribution of Likelihood Quantities." In Parametric Statistical Models and Likelihood. Springer New York, 1988. http://dx.doi.org/10.1007/978-1-4612-3934-5_8.

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Murdoch, J., and J. A. Barnes. "Distribution-free (Non-parametric) Tables." In Statistical Tables. Macmillan Education UK, 1998. http://dx.doi.org/10.1007/978-1-349-12556-2_2.

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Klose, Andreas, and Paul Stähly. "Parametric Analysis of Fixed Costs in Uncapacitated Facility Location." In Advances in Distribution Logistics. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-46865-0_9.

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Rodionov, Igor. "On Parametric Estimation of Distribution Tails." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57306-5_40.

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Sefian, Hind, Fatima Bahraoui, Zuhair Bahraoui, and Abdeladim Batmi. "Parametric and Non-parametric Wind Distribution Model for Tangier Region." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-36475-5_20.

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Liu, Yong, Austin Ford Ramsey, and Ziqin Zhou. "Model and Forecast Combination for Predictive Yield Distributions in Crop Insurance." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_8.

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Abstract Multiple-peril crop insurance policies require statistical modeling of probability distributions of crop yields. Unfortunately, no single parametric distribution is likely to capture the true data generating process. Likewise, non-parametric approaches converge to the true distribution at a slow rate; yield histories are often of modest size. Recognizing these shortcomings, model and forecast combination are now being applied in crop insurance settings. Model and forecast combination avoid the dangers inherent in selecting a single model for the predictive yield distribution. The comp
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Chen, James Ming. "Parametric VaR According to Student’s t-Distribution." In Postmodern Portfolio Theory. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-54464-3_14.

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Bilu, Yuri, and Florian Luca. "Diversity in Parametric Families of Number Fields." In Number Theory – Diophantine Problems, Uniform Distribution and Applications. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55357-3_7.

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Clementi, Fabio, and Mauro Gallegati. "The Parametric Approach to Income and Wealth Distributional Analysis." In The Distribution of Income and Wealth. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27410-2_2.

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Conference papers on the topic "Parametric distribution"

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Alqahtani, Abdulrahman, Layan AlSharif, Faisal Abbas, and Christian Canto Maya. "Distribution of Corrosion Attacks in Sour Pipelines - a Parametric Study." In CONFERENCE 2023. AMPP, 2023. https://doi.org/10.5006/c2023-18981.

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Abstract A study of different sour crude flowlines revealed that severe corrosion attacks are concentrated near the inlet part of the pipelines. This observation suggests a transition zone beyond which corrosion attacks are significantly accumulated. In this study, a clustering algorithm is used to identify a transition zone for pipelines as a function of several parameters which were selected from the literature as most critical. A comparison with ground truth data will validate the extent of which the transition zone is a function of the selected critical parameters. Present findings would b
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Milad, Sulaiman, Srdan Milićević, Vladimir A. Katić, and Aleksandar M. Stanisavljević. "Improved Wind Turbine Modeling Using A Parametric Wind Speed Distribution Function." In 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). IEEE, 2024. http://dx.doi.org/10.1109/icetran62308.2024.10645153.

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Karagiannopoulos, Stavros, Stefanos Delikaraoglou, Gabriela Hug, and Audun Botterud. "Resiliency-Aware Planning of Active Distribution Grids Using Multi-Parametric Programming." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050290.

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Bruscino, Ciro, Matteo Di Giancamillo, Pasquale Ercolano, et al. "Entanglement based Spontaneous Parametric Down Conversion sources for Quantum Key Distribution applications." In 2024 24th International Conference on Transparent Optical Networks (ICTON). IEEE, 2024. http://dx.doi.org/10.1109/icton62926.2024.10647458.

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Wang, Zhongyue, and Dong Li. "Robust out-of-distribution detection based on non-parametric adversarial virtual outlier generation." In Fourth International Conference on Electronics Technology and Artificial Intelligence (ETAI 2025), edited by Shaohua Luo and Akash Saxena. SPIE, 2025. https://doi.org/10.1117/12.3068528.

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Bedolla, Alexa Guadalupe Vargas, Karen Paola Valdez Estrada, José Luis Guevara Gomez, Carlos Rubio Maya, and Hugo Cuauhtémoc Gutierrez Sánchez. "Parametric Analysis of a PEM Electrolyzer Based on Ambient Pressure and Temperature Conditions of Several Representative Mexican Cities." In 2024 IEEE PES Generation, Transmission and Distribution Latin America Conference and Industrial Exposition (GTDLA). IEEE, 2024. https://doi.org/10.1109/gtdla61236.2024.10913518.

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Batyrshin, Ildar Z., Angelica S. Klimova, and Imre J. Rudas. "Parametric Fuzzy Distribution Sets." In 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES). IEEE, 2023. http://dx.doi.org/10.1109/ines59282.2023.10297909.

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Voiculescu, Sorin, and Fabrice Guerin. "Pseudo-conjugated prior distribution for parametric ALT model." In Integrity (RAMS). IEEE, 2011. http://dx.doi.org/10.1109/rams.2011.5754529.

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Prabhakar, Shashi, Gangi Reddy, A. Aadhi, Ashok Kumar, G. K. Samanta, and R. P. Singh. "Spatial distribution of Spontaneous Parametric Down-Converted Photons." In International Conference on Fibre Optics and Photonics. OSA, 2012. http://dx.doi.org/10.1364/photonics.2012.t1c.2.

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Tarel, J. P., and S. Boughorbel. "Object Predetection Based on Kernel Parametric Distribution Fitting." In 18th International Conference on Pattern Recognition (ICPR'06). IEEE, 2006. http://dx.doi.org/10.1109/icpr.2006.883.

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Reports on the topic "Parametric distribution"

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Pinkovskiy, Maxim, and Xavier Sala-i-Martin. Parametric Estimations of the World Distribution of Income. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15433.

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Neumark, David, Mark Schweitzer, and William Wascher. The Effects of Minimum Wages on the Distribution of Family Incomes: A Non-Parametric Analysis. National Bureau of Economic Research, 1998. http://dx.doi.org/10.3386/w6536.

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Wilson, D., Chris Pettit, Vladimir Ostashev, and Matthew Kamrath. Signal power distributions for simulated outdoor sound propagation in varying refractive conditions. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48774.

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Probability distributions of acoustic signals propagating through the near-ground atmosphere are simulated by the parabolic equation method. The simulations involve propagation at four angles relative to the mean wind, with frequencies of 100, 200, 400, and 800 Hz. The environmental representation includes realistic atmospheric refractive profiles, turbulence, and ground interactions; cases are considered with and without parametric uncertainties in the wind velocity and surface heat flux. The simulated signals are found to span a broad range of scintillation indices, from near zero to exceedi
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POLLACK, Katharina, Florian PAUSCH, and Piotr MAJDAK. Parametric pinna model for a realistic representation of listener-specific pinna geometry. Verlag der Österreichischen Akademie der Wissenschaften, 2025. https://doi.org/10.1553/ica_2022_parametric-model.

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Personalised binaural audio requires individual head-related transfer functions (HRTFs). Nowadays, it is feasible to compute HRTFs numerically from meshes of a listener’s anatomy. These meshes require geometric details of the pinna which are difficult to capture and often corrupted by noise and outliers. The alignment of a highresolution template geometry to the captured listener geometry seems to be a promising approach to deal with these corruptions. However, such an alignment represents a multi-dimensional optimisation problem. To tackle this, we describe a parametric pinna model which redu
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Darling, Arthur H., Diego J. Rodríguez, Clifford S. Russell, and William J. Vaughan. Willingness to Pay: Referendum Contingent Valuation and Uncertain Project Benefits. Inter-American Development Bank, 1999. http://dx.doi.org/10.18235/0008879.

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This study uses contingent valuation (CV) methods to estimate the benefit of an environmental water quality project of the Tietê River and its tributaries that flow through the São Paulo, Brazil, Metropolitan Area (SPMA). This paper demonstrates the range alternative central tendency measures for WTP produced under alternative parametric and nonparametric approaches using data gathered from a recent referendum CV survey that was conducted in Brazil to analyze a large, multi-phase water quality improvement project. It explains why one of the most commonly used measures, the unrestricted mean of
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Lohrberg, Arne. Electromagnetic resistivity anomalies in Tunnel Valleys: Potential for hidden offshore groundwater? (ENTRAP) - Cruise No. AL611, 22.04.2024 – 06.05.2024, Kiel – North Sea – Kiel (Germany). GEOMAR Helmholtz Centre for Ocean Research Kiel, 2024. http://dx.doi.org/10.3289/cr_al611.

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The role of large subsurface landforms produced during glaciations of the Pleistocene is still poorly understood with respect to groundwater flow. In particular, so-called tunnel valleys (TVs) formed beneath ice sheets acted as drainage systems of glacial meltwater. Due to their mechanism of formation, the fill of buried TVs often consists of highly permeable sands and gravels in their lower part and fine-grained deposits at their top. Such a configuration promotes their role as preferential flow pathways for groundwater sealed from the saltwater above. To understand the role of TVs for offsho
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Ravazdezh, Faezeh, Julio A. Ramirez, and Ghadir Haikal. Improved Live Load Distribution Factors for Use in Load Rating of Older Slab and T-Beam Reinforced Concrete Bridges. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317303.

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This report describes a methodology for demand estimate through the improvement of load distribution factors in reinforced concrete flat-slab and T-beam bridges. The proposed distribution factors are supported on three-dimensional (3D) Finite Element (FE) analysis tools. The Conventional Load Rating (CLR) method currently in use by INDOT relies on a two-dimensional (2D) analysis based on beam theory. This approach may overestimate bridge demand as the result of neglecting the presence of parapets and sidewalks present in these bridges. The 3D behavior of a bridge and its response could be bett
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Bouezmarni, Taoufik, Mohamed Doukali, and Abderrahim Taamouti. Copula-based estimation of health concentration curves with an application to COVID-19. CIRANO, 2022. http://dx.doi.org/10.54932/mtkj3339.

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COVID-19 has created an unprecedented global health crisis that caused millions of infections and deaths worldwide. Many, however, argue that pre-existing social inequalities have led to inequalities in infection and death rates across social classes, with the most-deprived classes are worst hit. In this paper, we derive semi/non-parametric estimators of Health Concentration Curve (HC) that can quantify inequalities in COVID-19 infections and deaths and help identify the social classes that are most at risk of infection and dying from the virus. We express HC in terms of copula function that w
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Dasberg, Shmuel, Jan W. Hopmans, Larry J. Schwankl, and Dani Or. Drip Irrigation Management by TDR Monitoring of Soil Water and Solute Distribution. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568095.bard.

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Drip irrigation has the potential of high water use efficiency, but actual water measurement is difficult because of the limited wetted volume. Two long-term experiments in orchards in Israel and in California and several field crop studies supported by this project have demonstrated the feasibility of precise monitoring of soil water distribution for drip irrigation in spite of the limited soil wetting. Time Domain Reflectometry (TDR) enables in situ measurement of soil water content of well defined small volumes. Several approaches were tried in monitoring the soil water balance in the field
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10

Gálvez, Julio. Household portfolio choices under (non-)linear income risk: an empirical framework. Banco de España, 2023. http://dx.doi.org/10.53479/33792.

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This paper develops a flexible, semi-structural framework to empirically quantify the non-linear transmission of income shocks to household portfolio choice decisions both at the extensive and intensive margins. I model stock market participation and portfolio allocation rules as age-dependent functions of persistent and transitory earnings components, wealth and unobserved taste shifters. I establish non-parametric identification and propose a tractable, simulation-based estimation algorithm, building on recent developments in the sample selection literature. Using recent waves of PSID data,
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