Academic literature on the topic 'Forecast probability density function'
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Journal articles on the topic "Forecast probability density function"
Denholm-Price, J. C. W. "Can an ensemble give anything more than Gaussian probabilities?" Nonlinear Processes in Geophysics 10, no. 6 (December 31, 2003): 469–75. http://dx.doi.org/10.5194/npg-10-469-2003.
Full textSmith, Leonard A., Hailiang Du, and Sarah Higgins. "Designing Multimodel Applications with Surrogate Forecast Systems." Monthly Weather Review 148, no. 6 (May 5, 2020): 2233–49. http://dx.doi.org/10.1175/mwr-d-19-0061.1.
Full textEckel, F. Anthony, Mark S. Allen, and Matthew C. Sittel. "Estimation of Ambiguity in Ensemble Forecasts." Weather and Forecasting 27, no. 1 (February 1, 2012): 50–69. http://dx.doi.org/10.1175/waf-d-11-00015.1.
Full textSchmid, W., S. Mecklenburg, and J. Joss. "Short-term risk forecasts of heavy rainfall." Water Science and Technology 45, no. 2 (January 1, 2002): 121–25. http://dx.doi.org/10.2166/wst.2002.0036.
Full textLiu, Liyang, Junji Wu, and Shaoliang Meng. "A Statistical Model for Wind Power Forecast Error Based on Kernel Density Estimation." Open Electrical & Electronic Engineering Journal 8, no. 1 (December 31, 2014): 501–7. http://dx.doi.org/10.2174/1874129001408010501.
Full textThorarinsdottir, Thordis L., and Matthew S. Johnson. "Probabilistic Wind Gust Forecasting Using Nonhomogeneous Gaussian Regression." Monthly Weather Review 140, no. 3 (February 1, 2012): 889–97. http://dx.doi.org/10.1175/mwr-d-11-00075.1.
Full textSchuhen, Nina, Thordis L. Thorarinsdottir, and Tilmann Gneiting. "Ensemble Model Output Statistics for Wind Vectors." Monthly Weather Review 140, no. 10 (October 1, 2012): 3204–19. http://dx.doi.org/10.1175/mwr-d-12-00028.1.
Full textQi, Haixia, Xiefei Zhi, Tao Peng, Yongqing Bai, and Chunze Lin. "Comparative Study on Probabilistic Forecasts of Heavy Rainfall in Mountainous Areas of the Wujiang River Basin in China Based on TIGGE Data." Atmosphere 10, no. 10 (October 9, 2019): 608. http://dx.doi.org/10.3390/atmos10100608.
Full textVeenhuis, Bruce A. "Spread Calibration of Ensemble MOS Forecasts." Monthly Weather Review 141, no. 7 (July 1, 2013): 2467–82. http://dx.doi.org/10.1175/mwr-d-12-00191.1.
Full textRodríguez, Lissette Guzmán, Vagner Anabor, Franciano Scremin Puhales, and Everson Dal Piva. "ESTIMATIVA DA PROBABILIDADE DE OCORRÊNCIA DE PRECIPITAÇÃO, A PARTIR DE TÉCNICAS ESTATÍSTICAS NÃO PARAMÉTRICAS APLICADAS A SIMULAÇÕES NUMÉRICAS DE WRF. UM CASO DE ESTUDO." Ciência e Natura 38 (July 20, 2016): 491. http://dx.doi.org/10.5902/2179460x20193.
Full textDissertations / Theses on the topic "Forecast probability density function"
Саркісян, Анна Оганесівна. "Методи і моделі прогнозування актуарних ризиків." Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/45229.
Full textBachelor thesis: 169 p., 21 tabl., 48 fig., 2 append., 29 sources. Object of study - actuarial risks, which are studied using Bayesian methodology as a powerful tool for a priori and sample information to clarify the law of distribution of random variables, as well as the problem of predicting the amount of insurance benefits as a complex problem of actuarial mathematics that can be solved by means of Bayesian methodology. Purpose - to study the possibility of applying the Bayesian methodology to improve the quality of estimates of forecasts of possible losses in actuarial problems; consideration of problems, the solution of which can be improved by using Bayesian methods, analysis of the problem of forecasting the distribution of the amount of insurance benefits as such, which can be successfully solved using Bayesian methods of analysis. Used models - Bayesian methods of analysis were studied as a tool to take into account sample and a priori information and modify the proposed models based on it, actuarial risks as a promising area of application of Bayesian methods of uncertainty research, refinement of structure and improvement of adequacy of prognostic qualities of models. Results - a model of analysis and forecasting of insurance payments and a model of the number of appeals to the insurance company. Predictive assumptions about the development of the object of study - generalization of the proposed method of analysis of different types of distributions of random variables found in insurance, study the accuracy of the model depending on the choice of standardization, modification of known methods of analysis and management of insurance risks using Bayesian methodology.
Pai, Madhusudan Gurpura. "Probability density function formalism for multiphase flows." [Ames, Iowa : Iowa State University], 2007.
Find full textAguirre-Saldivar, Rina Guadalupe. "Two scalar probability density function models for turbulent flames." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38213.
Full textJoshi, Niranjan Bhaskar. "Non-parametric probability density function estimation for medical images." Thesis, University of Oxford, 2008. http://ora.ox.ac.uk/objects/uuid:ebc6af07-770b-4fee-9dc9-5ebbe452a0c1.
Full textLouloudi, Sofia. "Transported probability density function : modelling of turbulent jet flames." Thesis, Imperial College London, 2003. http://hdl.handle.net/10044/1/8007.
Full textHulek, Tomas. "Modelling of turbulent combustion using transported probability density function methods." Thesis, Imperial College London, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.339223.
Full textRahikainen, I. (Ilkka). "Direct methodology for estimating the risk neutral probability density function." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201404241289.
Full textHao, Wei-Da. "Waveform Estimation with Jitter Noise by Pseudo Symmetrical Probability Density Function." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4587.
Full textWeerasinghe, Weerasinghe Mudalige Sujith Rohitha. "Application of Lagrangian probability density function approach to turbulent reacting flows." Thesis, Imperial College London, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392476.
Full textKakhi, M. "The transported probability density function approach for predicting turbulent combusting flows." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8729.
Full textBooks on the topic "Forecast probability density function"
Churnside, James H. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, 1989.
Find full textYamazaki, Hidekatsu. Determination of wave height spectrum by means of a joint probability density function. College Station, Tex: Sea Grant College Program, Texas A & M University, 1985.
Find full textFornari, Fabio. Recovering the probability density function of asset prices using GARCH as diffusion approximations. [Roma]: Banca d'Italia, 2001.
Find full textFornari, Fabio. The probability density function of interest rates implied in the price of options. Rome: Banca d'Italia, 1998.
Find full textMa, Xiaofang. Computation of the probability density function and the cumulative distribution function of the generalized gamma variance model. Ottawa: National Library of Canada, 2002.
Find full textSimon, M. Steady-state probability density function of the phase error for a DPLL with an integrate-and-dump device. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.
Find full textJ, Lataitis R., and Wave Propagation Laboratory, eds. Probability density function of optical scintillations (scintillation distribution). Boulder, Colo: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Wave Propagation Laboratory, 1989.
Find full textTopcu, Mehmet. Measured probability density function of a phased-locked loop output. 1987.
Find full textEUPDF, an Eulerian-based Monte Carlo probability density function (PDF) solver: User's manual. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.
Find full textCenter, Lewis Research, ed. EUPDF, an Eulerian-based Monte Carlo probability density function (PDF) solver: User's manual. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.
Find full textBook chapters on the topic "Forecast probability density function"
Gooch, Jan W. "Probability Density Function." In Encyclopedic Dictionary of Polymers, 992. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_15330.
Full textGooch, Jan W. "Probability Density Function." In Encyclopedic Dictionary of Polymers, 590. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_9466.
Full textNascimento, Abraão D. C. "Probability Density Function." In Encyclopedia of Mathematical Geosciences, 1–5. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-26050-7_257-1.
Full textDohmen, Jos J., Theo G. J. Beelen, Oryna Dvortsova, E. Jan W. ter Maten, Bratislav Tasić, and Rick Janssen. "Calibration of Probability Density Function." In Mathematics in Industry, 401–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30726-4_18.
Full textSuciu, Nicolae. "Probability and Filtered Density Function Approaches." In Diffusion in Random Fields, 157–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15081-5_6.
Full textGupta, Arjun K., Tamas Varga, and Taras Bodnar. "Probability Density Function and Expected Values." In Elliptically Contoured Models in Statistics and Portfolio Theory, 59–102. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8154-6_3.
Full textBodschwinna, Horst, and Jörg Seewig. "Surface Statistics and Probability Density Function." In Encyclopedia of Tribology, 3464–72. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-0-387-92897-5_304.
Full textGupta, A. K., and T. Varga. "Probability Density Function and Expected Values." In Elliptically Contoured Models in Statistics, 80–129. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1646-6_3.
Full textNakano, T., D. Fukayama, T. Gotoh, and K. Yamamoto. "Probability Density Function of Longitudinal Velocity Increment." In IUTAM Symposium on Geometry and Statistics of Turbulence, 127–32. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9638-1_15.
Full textBayer, Christian, Peter K. Friz, and Peter Laurence. "On the Probability Density Function of Baskets." In Large Deviations and Asymptotic Methods in Finance, 449–72. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11605-1_16.
Full textConference papers on the topic "Forecast probability density function"
Li, Gong, Jing Shi, and Junyi Zhou. "Short Term Wind Speed Forecasting Based on Bayesian Model Averaging Method." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13055.
Full textLipowsky, Holger, Stephan Staudacher, Michael Bauer, and Klaus-Juergen Schmidt. "Application of Bayesian Forecasting to Change Detection and Prognosis of Gas Turbine Performance." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-59447.
Full textSerpoushan, Nima, Mostafa Zeinoddini, and Maziar Golestani. "An Ensemble Kalman Filter Data Assimilation Scheme for Modeling the Wave Climate in Persian Gulf." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-10399.
Full textTodd, Michael, William Gregory, Christopher Key, Michael Yeager, and Jordan Ye. "Composite Laminate Fatigue Damage Detection and Prognosis Using Embedded Fiber Bragg Gratings." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8182.
Full textZhang, Jinfang, Ruoxuan Tian, and Di Wu. "Predictive Function Control of Output Probability Density Function." In 2018 Chinese Automation Congress (CAC). IEEE, 2018. http://dx.doi.org/10.1109/cac.2018.8623134.
Full textMeyers, Ronald E. "Quantum probability density function (QPDF) method." In Optics & Photonics 2005, edited by Ronald E. Meyers and Yanhua Shih. SPIE, 2005. http://dx.doi.org/10.1117/12.620152.
Full textAyala-Ramirez, Victor, Raul Sanchez-yanez, Oscar Ibarra-manzano, and Francisco Montecillo-puente. "Probability density function approximation using fuzzy rules." In 2006 Multiconference on Electronics and Photonics. IEEE, 2006. http://dx.doi.org/10.1109/mep.2006.335667.
Full textPopov, Ivan A., Nikolay V. Sidorovsky, and Leonid M. Veselov. "Probability density function of non-Gaussian speckle." In Optoelectronic Science and Engineering '94: International Conference, edited by Wang Da-Heng, Anna Consortini, and James B. Breckinridge. SPIE, 1994. http://dx.doi.org/10.1117/12.182180.
Full textMarkhvida, Igor V., and Ludmila V. Chvyaleva. "Probability density function of speckle intensity crossing." In SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, edited by Dennis R. Pape. SPIE, 1994. http://dx.doi.org/10.1117/12.179116.
Full textDimitrov, Nedialko B., and Valentin T. Jordanov. "Probability density function transformation using Seeded Localized Averaging." In 2011 2nd International Conference on Advancements in Nuclear Instrumentation, Measurement Methods and their Applications (ANIMMA). IEEE, 2011. http://dx.doi.org/10.1109/animma.2011.6172859.
Full textReports on the topic "Forecast probability density function"
Ide, Kayo. Predictability and Ensemble Forecast Skill Enhancement Based on the Probability Density Function Estimation. Fort Belvoir, VA: Defense Technical Information Center, January 2005. http://dx.doi.org/10.21236/ada429618.
Full textIde, Kayo. Predictability and Ensemble-Forecast Skill Enhancement Based on the Probability Density Function Estimation. Fort Belvoir, VA: Defense Technical Information Center, September 1999. http://dx.doi.org/10.21236/ada630373.
Full textIde, Kayo. Predictability and Ensemble-Forecast Skill Enhancement Based on the Probability Density Function Estimation. Fort Belvoir, VA: Defense Technical Information Center, September 2000. http://dx.doi.org/10.21236/ada624633.
Full textIde, Kayo. Predictability and Ensemble-Forecast Skill Enhancement Based on the Probability Density Function Estimation. Fort Belvoir, VA: Defense Technical Information Center, August 2001. http://dx.doi.org/10.21236/ada625720.
Full textHao, Wei-Da. Waveform Estimation with Jitter Noise by Pseudo Symmetrical Probability Density Function. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6471.
Full textChow, Winston C. Analysis of the Probability Density Function of the Monopulse Ratio Radar Signal. Fort Belvoir, VA: Defense Technical Information Center, August 1996. http://dx.doi.org/10.21236/ada315600.
Full textDESJARDIN, PAUL E., MELVIN R. BAER, RAYMOND L. BELL, and EUGENE S. HERTEL, JR. Towards Numerical Simulation of Shock Induced Combustion Using Probability Density Function Approaches. Office of Scientific and Technical Information (OSTI), July 2002. http://dx.doi.org/10.2172/801388.
Full textSmith, Donald L., Denise Neudecker, and Roberto Capote Noy. Investigation of the Effects of Probability Density Function Kurtosis on Evaluated Data Results. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1434430.
Full textNuttall, Albert H. Saddlepoint Approximations for the Combined Probability and Joint Probability Density Function of Selected Order Statistics and the Sum of the Remainder. Fort Belvoir, VA: Defense Technical Information Center, February 2004. http://dx.doi.org/10.21236/ada421711.
Full textNuttall, Albert H. Joint Probability Density Function of Selected Order Statistics and the Sum of the Remaining Random Variables. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada399298.
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