Academic literature on the topic 'Win probability'

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Journal articles on the topic "Win probability"

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Rullière, Didier, and Stéphane Loisel. "The win-first probability under interest force." Insurance: Mathematics and Economics 37, no. 3 (2005): 421–42. http://dx.doi.org/10.1016/j.insmatheco.2005.06.004.

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Student. "HEY! I UNDERSTAND PROBABILITY." Pediatrics 94, no. 4 (1994): A68. http://dx.doi.org/10.1542/peds.94.4.a68a.

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Everyone has an intuitive grasp of probability. Sometimes it's as primitive as that of the barber who revealed his lottery strategy to me: "The way I figure it, I can either win or lose, so I've got a 50-50 shot at it."
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Ecker, Michael W. "Maximizing the Probability of a Big Sweepstakes Win." College Mathematics Journal 38, no. 1 (2007): 32–36. http://dx.doi.org/10.1080/07468342.2007.11922215.

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Chen, May-Ru, and Shoou-Ren Hsiau. "Two New Models for the Two-Person Red-And-Black Game." Journal of Applied Probability 47, no. 1 (2010): 97–108. http://dx.doi.org/10.1239/jap/1269610819.

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In a two-person red-and-black game, each player holds an integral amount of chips. At each stage of the game, each player can bet any integral amount in his possession, winning the chips of his opponent with a probability which is a function of the ratio of his bet to the sum of both players' bets and is called a win probability function. Both players seek to maximize the probability of winning the entire fortune of his opponent. In this paper we propose two new models. In the first model, at each stage, there is a positive probability that two players exchange their bets. In the second model, the win probability functions are stage dependent. In both models, we obtain suitable conditions on the win probability functions such that it is a Nash equilibrium for the subfair player to play boldly and for the superfair player to play timidly.
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Chen, May-Ru, and Shoou-Ren Hsiau. "Two New Models for the Two-Person Red-And-Black Game." Journal of Applied Probability 47, no. 01 (2010): 97–108. http://dx.doi.org/10.1017/s0021900200006422.

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In a two-person red-and-black game, each player holds an integral amount of chips. At each stage of the game, each player can bet any integral amount in his possession, winning the chips of his opponent with a probability which is a function of the ratio of his bet to the sum of both players' bets and is called a win probability function. Both players seek to maximize the probability of winning the entire fortune of his opponent. In this paper we propose two new models. In the first model, at each stage, there is a positive probability that two players exchange their bets. In the second model, the win probability functions are stage dependent. In both models, we obtain suitable conditions on the win probability functions such that it is a Nash equilibrium for the subfair player to play boldly and for the superfair player to play timidly.
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Siegrist, Kyle. "n-point, win-by-k games." Journal of Applied Probability 26, no. 4 (1989): 807–14. http://dx.doi.org/10.2307/3214385.

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Consider a sequence of Bernoulli trials between players A and B in which player A wins each trial with probability p∈ [0, 1]. For positive integers n and k with k ≦ n, an (n, k) contest is one in which the first player to win at least n trials and to be ahead of his opponent by at least k trials wins the contest. The (n, 1) contest is the Banach match problem and the (n, n) contest is the gambler's ruin problem. Many real contests (such as the World Series in baseball and the tennis game) have an (n, 1) or an (n, 2) format. The (n, k) contest is formulated in terms of the first-exit time of the graph of a random walk from a certain region of the state-time space. Explicit results are obtained for the probability that player A wins an (n, k) contest and the expected number of trials in an (n, k) contest. Comparisons of (n, k) contests are made in terms of the probability that the stronger player wins and the expected number of trials.
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Siegrist, Kyle. "n-point, win-by-k games." Journal of Applied Probability 26, no. 04 (1989): 807–14. http://dx.doi.org/10.1017/s0021900200027674.

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Consider a sequence of Bernoulli trials between players A and B in which player A wins each trial with probability p∈ [0, 1]. For positive integers n and k with k ≦ n, an (n, k) contest is one in which the first player to win at least n trials and to be ahead of his opponent by at least k trials wins the contest. The (n, 1) contest is the Banach match problem and the (n, n) contest is the gambler's ruin problem. Many real contests (such as the World Series in baseball and the tennis game) have an (n, 1) or an (n, 2) format. The (n, k) contest is formulated in terms of the first-exit time of the graph of a random walk from a certain region of the state-time space. Explicit results are obtained for the probability that player A wins an (n, k) contest and the expected number of trials in an (n, k) contest. Comparisons of (n, k) contests are made in terms of the probability that the stronger player wins and the expected number of trials.
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Zohaib, Syed Mohammad, Nikhil Sharma, Rohit Singh, and Ms Sonia. "IPL Win Probability Prediction System using Machine Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6343–47. https://doi.org/10.22214/ijraset.2025.69906.

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Abstract: This paper describe a machine learning framework for the estimation of the winning probability of a team in the Indian Premier League (IPL) [1]. First, historical data of matches, player data, teams and environments is compiled and cleaned. Important variables are established with help of EDA. The machine learning methods based on logistic regression and gradient boosting were used to construct the model. The model was evaluated using various assessment methods such as accuracy, precision, recall, with promising results. In later studies focus will be put on the model improvement and introducing new features.
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Brunner, Edgar, Marc Vandemeulebroecke, and Tobias Mütze. "Win odds: An adaptation of the win ratio to include ties." Statistics in Medicine 40, no. 14 (2021): 3367–84. http://dx.doi.org/10.1002/sim.8967.

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Chen, May-Ru. "TWO-PERSON RED-AND-BLACK GAME WITH LOWER LIMIT." Probability in the Engineering and Informational Sciences 25, no. 1 (2010): 119–33. http://dx.doi.org/10.1017/s0269964810000288.

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In this article we consider a two-person red-and-black game with lower limit. More precisely, assume each player holds an integral amount of chips. At each stage, each player can bet an integral amount between a fixed positive integer ℓ and his possession x if x ≥ ℓ; otherwise, he bets all of his own fortune. He might win his opponent's stakes with a probability that is a function of the ratio of his bet to the sum of both players' bets and is called a win probability function. The goal of each player is to maximize the probability of winning the entire fortune of his opponent by gambling repeatedly with suitably chosen stakes. We will give some suitable conditions on the win probability function such that it is a Nash equilibrium for the subfair player to play boldly and for the superfair player to play timidly.
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Dissertations / Theses on the topic "Win probability"

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Bernier, Christophe. "Forecasting Real-Time Win Probability in NHL Games." Thesis, Boston College, 2018. http://hdl.handle.net/2345/bc-ir:108029.

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Thesis advisor: Christopher Maxwell<br>Uncertainty is a key part of any sports game; without it, there is little reason to be interested in the outcome. This thesis attempts to quantify the uncertainty inherent in NHL hockey games by building a real-time win probability model that estimates both teams’ likelihood of winning based on what has happened in the game so far. The model is built using historical data from the 2009-2010 season all the way to the 2016-2017 season. Given the differential and the time left, the model evaluates historical data for that specific game-state and calculates a win probability. The model also uses a multi-regression approach to incorporate pre-game Vegas odds as a way to factor the strength of both teams; to my knowledge, this is the first publicly available hockey win probability model to do so. Finally, the model also factors in elements unique to the sport of hockey, like power plays and shootout periods<br>Thesis (BA) — Boston College, 2018<br>Submitted to: Boston College. College of Arts and Sciences<br>Discipline: Departmental Honors<br>Discipline: Economics
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Sagafi, Dean. "Pay to Win? The Influence of Capital Investment on Win Probability in the North American LCS." Scholarship @ Claremont, 2018. https://scholarship.claremont.edu/cmc_theses/2018.

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This paper uses a logistic regression model to assess the impact capital investment has on the probability of winning a game in the franchised 2018 North American League Championship Series. We have taken data from every game played across a variety of predictors to find that, though significant, capital difference provides at best an approximately 12% predictor of win probability. While other covariates tested provide statistical significance, the variability of these covariates make it hard to say with confidence what optimal in-game strategy is, beyond previously obvious notions of win condition.
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Johnson, Matthew. "An Evaluation of the Effects of Decreasing Win Rate on Slot Machine Gambling." OpenSIUC, 2014. https://opensiuc.lib.siu.edu/theses/1592.

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Animal models can contribute significantly to our understanding of human gambling behavior. However, no proposed animal models of human gambling have been tested using human subjects. The purpose of the present paper was to validate an animal model of gambling with human subjects. Twenty undergraduate rehabilitation students (all women) were recruited and participated for extra course credit. Participants were presented with a concurrent choice between two different simulated slot machines; one machine with symbols and one machine without symbols. During the first 50 choice trials, the payout of the two machines was equated at 50% overall. For the remaining 50 choice trials, probability of winning on the machine with symbols was systematically decreased by 10% overall every ten trials until there was no probability of winning for the last ten trails. On average, participants showed a preference for the machine with symbols during choice trials when win rate was equated; allocating significantly more than 50% of responding to this machine. A repeated measures ANOVA indicated that response allocation to the symbol machine only significantly decreased in the final two conditions (10% and EXT) and did not decrease significantly across any other conditions. Results were also interpreted through behavioral economic analyses. Results indicate that conditioned reinforcement may affect the subjective value of probabilistic reinforcers in humans. These results are similar to those obtained with pigeons under similar conditions and may imply that animal models are relevant to the study of human gambling behavior.
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Tuzilova, Kristyna. "Pre-play interactive trading in tennis: probability to win a match in Grand Slam tournaments." Master's thesis, Universidade de Évora, 2017. http://hdl.handle.net/10174/21760.

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With the recent innovations in technology, sports betting became more accessible to any bettor, professional or not. An analysis of tennis and models applicable on the estimation of the result of men’s tennis matches in Grand Slam tournaments allowed us to identify a model with the capacity to predict the result with a 76,02% accuracy. The selected model was applied on a case study, using Betfair as an example of an ‘exchange’ platform. This approach allows us to compare the estimated odds and the odds present at the betting market in such a way that the predictive ability of the model is assessed. Further developments are suggested in the conclusion; Resumo: Negociação interativa pré-jogo no mercado de apostas de ténis: probabilidade de ganhar um jogo em torneios do Grand Slam Com os mais recentes avanços tecnológicos, a aposta desportiva tornou-se acessível para qualquer tipo de apostador, quer amador, quer profissional. Uma análise ao caso específico do ténis, baseada na aplicação de modelos para resposta binária ao resultado de um jogo de ténis masculino durante o torneio do Grand Slam, permitiu-nos identificar um modelo com a capacidade de prever o resultado para 76,02% dos jogos. O modelo seleccionado foi aplicado num estudo de caso, usando Betfair como exemplo de uma plataforma de apostas. O modelo permite-nos comparar as probabilidades estimadas e as probabilidades existentes no mercado de apostas, e identificar se a previsão do resultado de um determinado jogo vai ao encontro das expectativas do mercado. Desenvolvimentos adicionais são sugeridos na conclusão.
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Alleva, Zach. "The Drivers of Success in the NFL: Differences in Factors Affecting the Probability of Winning Based on First Half Performance." Scholarship @ Claremont, 2016. http://scholarship.claremont.edu/cmc_theses/1371.

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This paper explores how changing various end game statistics effects a given teams probability of winning a game in the National Football League (NFL). Data from the 2000-2016 NFL seasons is split into two subsets, one for teams winning at halftime, another for losing teams. Using this data an empirical model is estimated to study how the determinants of a team’s success differ between the two sets of data. Overall, the factors which determine a team’s outcome are consistent between the two subsets, varying primarily by magnitude of the effect.
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He, Yanping. "Representations of boundary layer cloudiness and surface wind probability distributions in subtropical marine stratus and stratocumulus regions." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/22585.

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Thesis (Ph. D.)--Earth and Atmospheric Sciences, Georgia Institute of Technology, 2007.<br>Committee Chair: Dr. Robert E. Dickinson; Committee Member: Dr. Irina Sokolik; Committee Member: Dr. Judth Curry; Committee Member: Dr. Peter Webster; Committee Member: Dr. Rong Fu.
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Jiang, Xin. "Risk Analysis of Wind Energy Company Stocks." Thesis, Linnéuniversitetet, Institutionen för matematik (MA), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-98039.

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In this thesis, probability theory and risk analysis are used to determine the riskof wind energy stocks. Three stocks of wind energy companies and three stocksof technology companies are gathered and risks are compared. Three difffferent riskmeasures: variance, value at risk, and conditional value at risk are used in this thesis.Conclusions which has been drawn, are that wind energy company stock risks arenot signifificantly lower than the stocks of other companies. Furthermore, optimalportfolios should include short positions of one or two of the energy companies forthe studied time period and under the difffferent risk measures.
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Johnson, Paul E. "Uncertainties in Oceanic Microwave Remote Sensing: The Radar Footprint, the Wind-Backscatter Relationship, and the Measurement Probability Density Function." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/71.

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Oceanic microwave remote sensing provides the data necessary for the estimation of significant geophysical parameters such as the near-surface vector wind. To obtain accurate estimates, a precise understanding of the measurements is critical. This work clarifies and quantifies specific uncertainties in the scattered power measured by an active radar instrument. While there are many sources of uncertainty in remote sensing measurements, this work concentrates on three significant, yet largely unstudied effects. With a theoretical derivation of the backscatter from an ocean-like surface, results from this dissertation demonstrate that the backscatter decays with surface roughness with two distinct modes of behavior, affected by the size of the footprint. A technique is developed and scatterometer data analyzed to quantify the variability of spaceborne backscatter measurements for given wind conditions; the impact on wind retrieval is described in terms of bias and the Cramer-Rao lower bound. The probability density function of modified periodogram averages (a spectral estimation technique) is derived in generality and for the specific case of power estimates made by the NASA scatterometer. The impact on wind retrieval is quantified.
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Afonso, Lutcy Menezes. "Correcting for attrition in panel data using inverse probability weighting : an application to the european bank system." Master's thesis, Instituto Superior de Economia e Gestão, 2015. http://hdl.handle.net/10400.5/8155.

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Mestrado em Econometria Aplicada e Previsão<br>Esta dissertação analiza técnicas de correção do efeito do enviesamento que pode ocorrer no caso dos dados utilizados apresentarem valores em falta. Tais técnicas serão aplicadas a um modelo económico para caracterização da margem líquida de juros (MLJ) bancária, utilizando dados provinientes 15 países que pertencem ao sistema bancário da União Europeia (UE15). As variáveis que caracterizam os bancos são observados entre de 2004 e 2010. E são escolhidas seguindo Valverde et al. (2007). Adicionalmente aos regressores são acrescentadas algumas variáveis macroeconómicas. A seleção proviniente da falta de alguns valores para os regressores é tratada através da ponderação probabilistica inversa. Os ponderadores são aplicados a estimadores GMM para um modelo de dados de painel dinámico.<br>This thesis discusses techniques to correct for the potentially biasing effects of missing data. We apply the techniques on an economic model that explains the Net Interest margin (NIM) of banks, using data from 15 countries that are part of the European Union (EU15) banking system. The variables that describe banks cover the period 2004 and 2010. We use the variables that were also used in Carbó-Valverde and Fernndez (2007). In addition, also macroeconomic variables are used as regressors. The selection that occurs as a consequence of missing values in these regressor variables is dealt with by means of Inverse Probability Weighting (IPW) techniques. The weights are applied to a GMM estimator for a dynamic panel data model that would have been consistent in the absence of missing data.
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McCary, William D. III. "Performance Evaluation of UNT Apogee Stadium Wind Turbines." Thesis, University of North Texas, 2016. https://digital.library.unt.edu/ark:/67531/metadc849611/.

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The following report chronicles the University of North Texas Wind Turbine Project at Apogee Stadium. The timeline of events will include the feasibility study conducted by and for the university, grant awards from the Texas State Energy Conservation Office to fund the project, and a three-year sample of real time performance data since installation. The purpose of this case study is to compare the energy generation estimates by various stakeholders to the measured energy generation using a new but uniform performance relationship. In order to optimize energy generation in wind turbine generator systems, the most common wind speeds measured at the site should also be the most efficient wind speeds at which the wind turbine can convert the kinetic energy in the wind into mechanical energy and ultimately electrical energy. The tool used to convey this relationship will be a figure plotting the wind speed profile against the efficiency curve of the wind turbine. Applying this relationship tool to the UNT Apogee Stadium wind turbines provided valuable results. The most common wind speeds at Apogee Stadium are not the most efficient wind speed for the turbine. Also, the most common wind speeds were near the lower limit of the wind turbine’s performance parameters. This scenario was evident in both the energy generation predictions as well as the real-time recorded data. This case study will also present the economic analysis of the Apogee Stadium wind turbines using another tool that was not previously used in the feasibility study. The case study concludes with future steps to improve wind turbine performance, and to budget future cost using past, present and future energy savings.
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Books on the topic "Win probability"

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Hans, Riedwyl, ed. How to win more: Strategies for increasing a lottery win. A K Peters, 1998.

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M, Shiao, Chamis C. C, and United States. National Aeronautics and Space Administration., eds. Probabilistic assessment of National Wind Tunnel. National Aeronautics and Space Administration, 1996.

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John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.

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John F. Kennedy Space Center. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Statistical short-range guidance for peak wind speed forecasts on Kennedy Space Center/Cape Canaveral Air Force Station: Phase 1 results. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 2002.

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United States. Army Aviation Research and Technology Activity. and Langley Research Center, eds. A comparison of fatigue life prediction methodologies for rotor craft. National Aeronautics and Space Administration, Langley Research Center, 1990.

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Pierson, Willard J. Probabilities and statistics for backscatter estimates obtained by a scatterometer with applications to new scatterometer design data. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1989.

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Gdala, Amy. Heads We Win (Probability Sequence). Superscript, 2007.

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Ratford, Scotty. High Probability Day Trading Strategies: High Win Rate Day Trading and Scalping Strategies for Trading Crypto, Forex and Stocks. Independently Published, 2022.

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Probability theory: The logic of science = Gai lü lun chen si lu (Ying wen ban). Ren min you dian chu ban she, 2009.

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Montgomery, Douglas C. Applied Statistics and Probability for Engineers Wie. Wiley & Sons, Incorporated, John, 2002.

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Book chapters on the topic "Win probability"

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Karunathilaka, D. G. T. L., S. K. Rajakaruna, R. Navarathna, K. Anantharajah, and M. Selvarathnam. "“Can Mumbai Indians Chase the Target?”: Predict the Win Probability in IPL T20-20." In Proceedings of Sixth International Congress on Information and Communication Technology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2380-6_88.

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Liu, Qian, Yan Zhuang, and Fuchuan Wan. "A New Model for Analyzing the Win Probability and Strength of the Two Sides of the Table Tennis Match." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60744-3_6.

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Dong, Hai tao, Qing Sun, Lu lu Shan, Xi Meng, Ru-nan Li, and Yi-he Fang. "Risk Analysis of Blueberry Gale Disaster in Liaodong Green Economic Zone Based on Machine Learning." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-8401-1_7.

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AbstractBased on the long time series gale data of 9 national meteorological stations in Liaoning province and the data of blueberry growth period, the optimal machine learning model is chosen to extend the time series of maximum wind speed, using the maximum wind speed and disaster information data of the corresponding stations, considering the frequency and duration comprehensively, the meteorological index thresholds of different grades of high wind disaster risk during the ripening period of blueberry were determined, the risk grades of mild, moderate and severe gale disasters were established, and the spatial and temporal distribution characteristics of blueberry gale disaster risk were analyzed by the frequency of disasters and the ratio of stations. The results showed that the stochastic forest model had a high simulation precision and could extend the maximum wind speed time series, and the maximum wind disaster risk threshold was ≥ 13.9 ms−1 in the mature period of blueberry, the results were verified to be in accordance with the actual situation. During the whole mature period of blueberry in 30 years, the impact of Gale Disaster Risk tended to be mitigated, and the frequency of occurrence showed a non-significant decreasing trend, the Xiuyan area showed the most significant decrease, while the Kuandian Manchu Autonomous County area showed a significant increase trend. The probability of occurrence of gale hazard over the whole mature period of 30 years is 83.3%, and the probability of occurrence of gale hazard over two years (≥ 50%), among which the Fushun region has the highest risk degree, the middle risk probability is 17.8%, the Qingyuan region has the highest risk degree, and the severe risk degree is 5.2%, mainly in Fushun and Benxi. In general, the northwest part of the Green Economic Zone is a high risk area for gale disasters, which are widespread, frequent and severe, mainly distributed in Fushun, Benxi, Qingyuan Manchu Autonomous County and Xifeng County.
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Dhiman, Harsh S., and Dipankar Deb. "Probability Distribution Functions for Short-Term Wind Power Forecasting." In Soft Computing Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51992-6_6.

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Murthy, K. S. R., and O. P. Rahi. "Wind Power Density Estimation Using Rayleigh Probability Distribution Function." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1819-1_26.

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Birnir, Björn. "From Wind-Blown Sand to Turbulence and Back." In The Fascination of Probability, Statistics and their Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25826-3_2.

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Liu, Wenwu, Hongsheng Zhang, and Nianli Lu. "Research on Equivalent Wind Load Spectrum Acquisition and Remaining Fatigue Strength Method of Double Active Arm Type Holding Pole." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_35.

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AbstractIn order to study the wind load fatigue residual strength in in-service holding poles for preventing disasters, and improving load-bearing capacity reliability. Firstly, using the Davenport wind speed spectrum to simulate the wind speed, it will be the input load of the finite element dynamics model of the 2 × 40 kN double active arm type holding pole (DAATHP). The stress time history curve at the welding section of the main chord at the bottom of the tower shaft is obtained at the working condition with the wind angle of 0°, 45°, 90°, and 135°. The rain flow counting method derives the statistical characteristics of the mean, amplitude, and frequency of stress at four wind angles. Secondly, the frequency of wind load under four wind angles is extended, and the synthesized fatigue load spectrum is used as the equivalent wind load spectrum. Finally, the Paris-Eadogan equation is used to derive the calculation formula of fatigue residual strength of the main chord at the bottom of the tower shaft, and the functional function of the main chord is established and then the failure probability formula is derived by combining the equivalent wind load spectrum. It is found that, compared with the ANSYS calculation results, the error of the predicted stress spectrum of the proposed method is minor, only 7.95%. It is verified that the proposed method can efficiently obtain the equivalent load spectrum of the DAATHP. The results indicate that it is feasible and practical to apply the proposed method to calculate the remaining fatigue life of the DAATHP.
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Li, Xianguo. "Wind Speed Distribution – A Theoretical Approach to Probability Density Function." In Green Energy. Springer London, 2011. http://dx.doi.org/10.1007/978-1-84882-647-2_3.

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O'Connor, Alan. "Application of WIM in probability based safety assessment of bridges." In International Conference on Heavy Vehicles HVParis 2008. John Wiley & Sons, Inc, 2013. http://dx.doi.org/10.1002/9781118623305.ch37.

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Rasran, Leonid, Bodo Grajetzky, and Ubbo Mammen. "Calculation of the Probability of a Collision of Territorial Birds of Prey with Wind Turbines." In Birds of Prey and Wind Farms. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53402-2_14.

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Conference papers on the topic "Win probability"

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Li, Xining, Peng Ye, Wei Feng, Jicheng Liu, and Tianmeng Yang. "Wind Power Probability Model Based on Spatiotemporal Correlation." In 2024 IEEE 8th Conference on Energy Internet and Energy System Integration (EI2). IEEE, 2024. https://doi.org/10.1109/ei264398.2024.10990551.

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Liu, Zeng-hui, Zhang-Jun Liu, and Jian-Bing Chen. "Global dynamic reliability analysis of large floating offshore wind turbine under 3-directional wind and wave loads." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.2543.

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&lt;p&gt;In this paper, a global dynamic reliability analysis framework of FOWTs under 3D wind and wave loads was established. First, a physical 3-D turbulent wind field simulation method based on the physical spectral tensor and the SHF approach was proposed to generate the rotational sampling wind field of the FOWT. Then, the joint probability distribution model of the wind-wave parameters was established by combining the Copula method and the ocean reanalysis data. In order to perform the meticulous global dynamic reliability analysis of the FOWT, two kinds of dynamic reliability analysis methods were developed using the probability density evolution theory (PDEM). Using the above methods, the global dynamic reliability of the OC3 Hywind Spar-type FOWT under different wind conditions was analysed. The numerical results demonstrated the practicality of the proposed dynamic reliability analysis framework.&lt;/p&gt;
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Liu, Zhen, Fubin Yang, Xiaoyu Pan, Kun Hu, Xiushan Wu, and Xuejie Wu. "Optimization Strategies for Wind Power Overhaul Considering Probability of Equipment Failure." In 2025 4th International Conference on Smart Grid and Green Energy (ICSGGE). IEEE, 2025. https://doi.org/10.1109/icsgge64667.2025.10984684.

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Milad, Sulaiman, Srdan Milićević, and Vladimir A. Katić. "The Best-Fit Wind-speed Probability Distribution Functions for Winds in Libya." In 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN). IEEE, 2024. http://dx.doi.org/10.1109/icetran62308.2024.10645193.

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Robberechts, Pieter, Jan Van Haaren, and Jesse Davis. "A Bayesian Approach to In-Game Win Probability in Soccer." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2021. http://dx.doi.org/10.1145/3447548.3467194.

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Kang, Seok-Kyu, and Jee-Hyong Lee. "An E-sports video highlight generator using win-loss probability model." In SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing. ACM, 2020. http://dx.doi.org/10.1145/3341105.3373894.

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Morgan, Kayanna A., Emanuel S. Grant, and Eunjin Kim. "Survey of Soft Computing Methods to Predict Soccer Win/Loss Probability." In ICISDM 2024: 2024 the 8th International Conference on Information System and Data Mining. ACM, 2024. http://dx.doi.org/10.1145/3686397.3686398.

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Park, Kieun, Hajin Lim, Joonhwan Lee, and Bongwon Suh. "Enhancing Auto-Generated Baseball Highlights via Win Probability and Bias Injection Method." In CHI '24: CHI Conference on Human Factors in Computing Systems. ACM, 2024. http://dx.doi.org/10.1145/3613904.3642021.

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Nazim Razali, Muhammad, Aida Mustapha, Salama A Mostafa Alabdullah, and Saraswathy Shamini Gunasekaran. "Football Matches Outcomes Prediction based on Gradient Boosting Algorithms and Football Rating System." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002524.

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Prediction in association football is genuinely a hot topic to discuss as it is among the popular sports that have attracted and gained global interest. The prediction may focus on matches outcomes (win, draw and lose) or the number of goals scored obtained by the home and away teams. This paper proposes football matches outcomes prediction models based on a rating system and gradient boosting algorithms. The testing of the models covers implementing pi-rating and Elo rating as data features generated from limited raw datasets to evaluate match outcomes prediction algorithms such as Gradient Boosting Machine (GBM), XGBoost (XGB), Light Gradient Boosting Machine (LGBM), and CatBoost (CB). The used football dataset has 216,743 instances for learning and 206 instances for testing. The dataset consists of 18 football league seasons between 2001/2002 to 2017/2018 across 35 countries. Subsequently, the prediction results of win, draw, or loss in terms of probability are obtained from the proposed models. The results are compared between several models with different rating systems and different boosting algorithms, as well as past literature that uses a similar dataset. The accuracy and Rank Probability Score (RPS) are set as benchmark criteria. As a result, the pi-rating with CB achieves the lowest RPS, 0.1925, and the highest accuracy of 55.82%.
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Manurangsi, Pasin, and Warut Suksompong. "Generalized Kings and Single-Elimination Winners in Random Tournaments." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/46.

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Tournaments can be used to model a variety of practical scenarios including sports competitions and elections. A natural notion of strength of alternatives in a tournament is a generalized king: an alternative is said to be a k-king if it can reach every other alternative in the tournament via a directed path of length at most k. In this paper, we provide an almost complete characterization of the probability threshold such that all, a large number, or a small number of alternatives are k-kings with high probability in two random models. We show that, perhaps surprisingly, all changes in the threshold occur in the regime of constant k, with the biggest change being between k = 2 and k = 3. In addition, we establish an asymptotically tight bound on the probability threshold for which all alternatives are likely able to win a single-elimination tournament under some bracket.
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Reports on the topic "Win probability"

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Dimaranan, Betina, Thomas Hertel, and Roman Keeney. OECD Domestic Support and the Developing Countries. GTAP Working Paper, 2003. http://dx.doi.org/10.21642/gtap.wp19.

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This paper aims to shed light on the potential interests of developing countries in reforms to domestic support for agriculture in the OECD economies. In order to accomplish this goal, we begin by reviewing the literature on the impacts of domestic support on key variables, including farm income, in the OECD economies themselves. We then proceed to revise the standard GTAP model of global trade, based on recent work at the OECD, in order to permit it to better capture these impacts. A series of stylized simulations are subsequently offered to illustrate the differential impacts of alternative types of domestic support. These suggest the possibility of policy re-instrumentation, whereby farm income is stabilized in the face of cuts to overall support levels by shifting the mix of subsidies away from the more trade-distorting instruments which also tend to be ineffective tools for boosting farm incomes. We then explore in considerable detail the mechanisms by which OECD agricultural reforms affect developing country welfare. The primary channel for such effects works through the terms of trade which in turn depend in part on whether a country is a net exporter or a net importer of the affected OECD products. Long term support for agricultural program commodities in OECD countries, coupled with relative taxation in many developing countries, has left the latter increasingly dependent on imports of these subsidized products. This has, in turn, made them more vulnerable to agricultural reforms that raise these prices. As a result, we find that an across-the-board, 50% cut in all domestic support for OECD agriculture leads to welfare losses for most of the developing regions, as well as for the combined total group of developing countries. The 50% cut in domestic support also results in large declines in farm incomes in Europe, and, to a lesser degree, North America. This makes such a reform package an unlikely political event. An alternative approach to reforming agricultural policies in the OECD would be to focus on broad-based reductions in market price support. This has already been occurring in the EU, in particular, where domestic support has increasingly replaced border measures. As demonstrated in this paper, the basic economic principles of agricultural support policies suggest that a shift from market price support to land-based payments could generate a “win-win” outcome whereby farm incomes are maintained and world price distortions are reduced. This is the direction charted by the OECD in its recent “Positive Reform Agenda” for agriculture. We formally examine such an agricultural reform scenario, implementing a 50% cut in market price support for OECD agriculture, with a compensating set of land payments designed to maintain farm income in each of the member economies. This comprehensive reform scenario results in increased welfare for most developing countries, with gains on other commodities offsetting the terms of trade losses from higher program crop prices. We conclude that developing countries will be well advised to focus their efforts on improved market access to the OECD economies, while permitting these wealthy economies to continue – indeed even increase – domestic support payments. Provided these increased domestic support payments are not linked to output or variable inputs, the trade-distorting effects are likely to be small, and they can be a rather effective way of offsetting the potential losses that would otherwise be sustained by OECD farmers. This type of policy re-instrumentation will increase the probability that such reforms will be deemed politically acceptable in the OECD member economies, while simultaneously increasing the likelihood that such reforms will also be beneficial to the developing economies.
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Roach, Dennis P., Thomas M. Rice, and Joshua Paquette. Probability of Detection Study to Assess the Performance of Nondestructive Inspection Methods for Wind Turbine Blades. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1374030.

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Pelli, Martino, and Jeanne Tschopp. Storms, Early Education and Human Capital. CIRANO, 2023. http://dx.doi.org/10.54932/houf2464.

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This paper explores how school-age exposure to storms impacts the education and primary activity status of young adults in India. Using a cross-sectional cohort study based on wind exposure histories, we find evidence of a significant deskilling of areas vulnerable to climate change-related risks. Specifically, our results show a 2.4 percentage point increase in the probability of accruing educational delays, a 2 percentage point decline in post-secondary education achievement, and a 1.6 percentage point reduction in obtaining regular salaried jobs. Additionally, our study provides evidence that degraded school infrastructure and declining household income contribute to these findings.
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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 exceeding ten. In the absence of uncertainties, the signal power (or intensity) is fit well by a two-parameter gamma distribution, regardless of the frequency and refractive conditions. When the uncertainties are included, three-parameter distributions, namely, the compound gamma or generalized gamma, are needed for a good fit to the simulation data. The compound gamma distribution appears preferable because its parameters have a straight forward interpretation related to the saturation and modulation of the signal by uncertainties.
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Tosi, R., R. Codina, J. Principe, R. Rossi, and C. Soriano. D3.3 Report of ensemble based parallelism for turbulent flows and release of solvers. Scipedia, 2022. http://dx.doi.org/10.23967/exaqute.2022.3.06.

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In this work we focus on reducing the wall clock time required to compute statistical estimators of highly chaotic incompressible flows on high performance computing systems. Our approach consists of replacing a single long-term simulation by an ensemble of multiple independent realizations, which are run in parallel with different initial conditions. A failure probability convergence criteria must be satisfied by the statistical estimator of interest to assess convergence. Its error analysis leads to the identification of two error contributions: the initialization bias and the statistical error. We propose an approach to systematically detect the burn-in time in order to minimize the initialization bias, accompanied by strategies to reduce simulation cost. The framework is validated on two very high Reynolds number obstacle problems of wind engineering interest in a high performance computing environment.
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Bos, Oscar, Enzo Kingma, and Jan Tjalling van der Wal. Biogenic reefs in the Dutch North Sea in relation to Offshore Wind Energy locations : Actual and predicted probability of occurrence of reef forming shellfish and worms in new wind farm zones and search areas for wind farm zones. Wageningen Marine Research, 2024. https://doi.org/10.18174/683402.

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