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Статті в журналах з теми "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.
Повний текст джерелаSmith, 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.
Повний текст джерелаEckel, 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.
Повний текст джерелаSchmid, 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.
Повний текст джерелаLiu, 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.
Повний текст джерелаThorarinsdottir, 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.
Повний текст джерелаSchuhen, 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.
Повний текст джерелаQi, 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.
Повний текст джерелаVeenhuis, 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.
Повний текст джерелаRodríguez, 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.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаBachelor 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.
Знайти повний текст джерелаAguirre-Saldivar, Rina Guadalupe. "Two scalar probability density function models for turbulent flames." Thesis, Imperial College London, 1987. http://hdl.handle.net/10044/1/38213.
Повний текст джерелаJoshi, 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.
Повний текст джерелаLouloudi, Sofia. "Transported probability density function : modelling of turbulent jet flames." Thesis, Imperial College London, 2003. http://hdl.handle.net/10044/1/8007.
Повний текст джерелаHulek, 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.
Повний текст джерелаRahikainen, 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.
Повний текст джерелаHao, Wei-Da. "Waveform Estimation with Jitter Noise by Pseudo Symmetrical Probability Density Function." PDXScholar, 1993. https://pdxscholar.library.pdx.edu/open_access_etds/4587.
Повний текст джерелаWeerasinghe, 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.
Повний текст джерелаKakhi, M. "The transported probability density function approach for predicting turbulent combusting flows." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8729.
Повний текст джерелаКниги з теми "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.
Знайти повний текст джерелаYamazaki, 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.
Знайти повний текст джерелаFornari, Fabio. Recovering the probability density function of asset prices using GARCH as diffusion approximations. [Roma]: Banca d'Italia, 2001.
Знайти повний текст джерелаFornari, Fabio. The probability density function of interest rates implied in the price of options. Rome: Banca d'Italia, 1998.
Знайти повний текст джерелаMa, Xiaofang. Computation of the probability density function and the cumulative distribution function of the generalized gamma variance model. Ottawa: National Library of Canada, 2002.
Знайти повний текст джерелаSimon, 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.
Знайти повний текст джерелаJ, 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.
Знайти повний текст джерелаTopcu, Mehmet. Measured probability density function of a phased-locked loop output. 1987.
Знайти повний текст джерелаEUPDF, an Eulerian-based Monte Carlo probability density function (PDF) solver: User's manual. [Cleveland, Ohio]: National Aeronautics and Space Administration, Lewis Research Center, 1998.
Знайти повний текст джерелаCenter, 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.
Знайти повний текст джерелаЧастини книг з теми "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.
Повний текст джерелаGooch, 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.
Повний текст джерелаNascimento, 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.
Повний текст джерелаDohmen, 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.
Повний текст джерелаSuciu, 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.
Повний текст джерелаGupta, 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.
Повний текст джерелаBodschwinna, 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.
Повний текст джерелаGupta, 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.
Повний текст джерелаNakano, 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.
Повний текст джерелаBayer, 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.
Повний текст джерелаТези доповідей конференцій з теми "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.
Повний текст джерелаLipowsky, 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.
Повний текст джерелаSerpoushan, 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.
Повний текст джерелаTodd, 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.
Повний текст джерелаZhang, 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.
Повний текст джерелаMeyers, 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.
Повний текст джерелаAyala-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.
Повний текст джерелаPopov, 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.
Повний текст джерелаMarkhvida, 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.
Повний текст джерелаDimitrov, 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.
Повний текст джерелаЗвіти організацій з теми "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.
Повний текст джерелаIde, 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.
Повний текст джерелаIde, 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.
Повний текст джерелаIde, 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.
Повний текст джерелаHao, 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.
Повний текст джерелаChow, 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.
Повний текст джерелаDESJARDIN, 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.
Повний текст джерелаSmith, 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.
Повний текст джерелаNuttall, 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.
Повний текст джерелаNuttall, 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.
Повний текст джерела