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Journal articles on the topic 'Montecarlo'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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1

Ferrándiz Vindel, Fernando. "Application of the Montecarlo Simulation for risk assessment in the Development of an analytical method according to the principles of quality by design (QbD)." Anales de la Real Academia Nacional de Farmacia 88, no. 88(05) (2022): 369–75. http://dx.doi.org/10.53519/analesranf.2022.88.05.03.

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Montecarlo simulation is a powerful tool to identify influencing factors and intervals in which to carry out analytical development tests, although as it is a mathematical model, it must be experimentally confirmed. The results obtained and presented in the work confirm that this tool allows the previous analysis of the sources of analytical variability and its importance within the risk assessment phase. With this, the subsequent experimental confirmation must be mainly focused on the use of the variables revealed with the Montecarlo simulation, saving resources and time that do not add value
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2

Vergara-Schmalbach, Juan Carlos. "Aplicación de la simulación de Montecarlo en la planeación financiera." Panorama Económico 13 (January 1, 2005): 123–30. http://dx.doi.org/10.32997/2463-0470-vol.13-num.13-2005-510.

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Este artículo pretende dar a conocer uno de los tantos usos dados a la simulación de Montecarlo sobre la construcción de estados financieros a partir de la reproducción de variables que permanecen en condiciones de incertidumbre, haciendo del ejercicio de interpretación, planeación y proyección, mucho más realista y adaptado a la memoria histórica que reflejan el comportamiento de dichas variables.Palabras claves: Simulación, Montecarlo, Finanzas, Probabilidades, Incertidumbre.
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3

Riffo-Campos, Angela L., Guillermo Ayala, and Juan Domingo. "Ordering of Omics Features Using Beta Distributions on Montecarlo p-Values." Mathematics 9, no. 11 (2021): 1307. http://dx.doi.org/10.3390/math9111307.

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The current trend in genetic research is the study of omics data as a whole, either combining studies or omics techniques. This raises the need for new robust statistical methods that can integrate and order the relevant biological information. A good way to approach the problem is to order the features studied according to the different kinds of data so a key point is to associate good values to the features that permit us a good sorting of them. These values are usually the p-values corresponding to a hypothesis which has been tested for each feature studied. The Montecarlo method is certain
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4

Allavena, A., A. Fadda, and G. P. Soressi. "‘Montecarlo’ and ‘Monterosa’, ‘Borlotto’-type Dry Beans." HortScience 24, no. 6 (1989): 1047–48. http://dx.doi.org/10.21273/hortsci.24.6.1047.

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Abstract ‘Montecarlo’ (P288) and ‘Monterosa’ (P358) are ‘Borlotto’-type dry beans with determinate type I plant habit (Singh, 1982) and resistance to bean common mosaic virus (BCMV) and halo blight [Pseudomonas syringae pv phaseolicola (Burk.) Dows.] (Hill et al., 1972; Drifjhout et al., 1978). Both were developed at the Experimental Institute for Vegetable Crops, Montanaso Lombardo, Italy. ‘Borlotto’ is a shell bean traditionally grown in Italy for direct marketing of ripe pods and dry seeds or for processing. ‘Borlotto’ has seeds with red stripes on a beige background at maturity and is simi
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5

Solano, Ada. "Montecarlo studies of diffractive events at HERA." Nuclear Physics B - Proceedings Supplements 25 (March 1992): 274–77. http://dx.doi.org/10.1016/s0920-5632(05)80040-4.

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6

Alsayegh, O. A., and O. A. Almatar. "Energy Consumption Prediction using Sequential Montecarlo Methods." International Journal of Modelling and Simulation 26, no. 1 (2006): 27–35. http://dx.doi.org/10.1080/02286203.2006.11442348.

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Solano, Ada. "Montecarlo studies of diffractive events at HERA." Nuclear Physics B - Proceedings Supplements 25 (March 1992): 274–77. http://dx.doi.org/10.1016/0920-5632(92)90405-h.

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8

Martin, Pablo, Juan J. Gaitero, Jorge S. Dolado, and Hegoi Manzano. "KIMERA: A Kinetic Montecarlo Code for Mineral Dissolution." Minerals 10, no. 9 (2020): 825. http://dx.doi.org/10.3390/min10090825.

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KIMERA is a scientific tool for the study of mineral dissolution. It implements a reversible Kinetic Monte Carlo (KMC) method to study the time evolution of a dissolving system, obtaining the dissolution rate and information about the atomic scale dissolution mechanisms. KIMERA allows to define the dissolution process in multiple ways, using a wide diversity of event types to mimic the dissolution reactions, and define the mineral structure in great detail, including topographic defects, dislocations, and point defects. Therefore, KIMERA ensures to perform numerous studies with great versatili
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9

La Manna, Gianfranco, and Carmelo E. Notaro. "Montecarlo calculation of the structure of liquid acetonitrile." Journal of Molecular Liquids 54, no. 1-3 (1992): 125–30. http://dx.doi.org/10.1016/0167-7322(92)80075-s.

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10

Setiawan, Suganta Handaru, Erman Sumirat, and Raden Aswin Rahadi. "INVESTMENT DECISION OF BIOMEDICAL IMPLANT PRODUCTION UNDER UNCERTAINTY CONDITION: A MONTECARLO SIMULATION APPROACH." Dynamic Management Journal 8, no. 1 (2024): 233. http://dx.doi.org/10.31000/dmj.v8i1.10588.

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PT. Langit Biru make investment project plan in biomedical implant production to grab the attractive market potential of biomedical implant and to diversify the business footprint in medical segment. Investment decision is made by considering the impacts of discrete risks using scenario analysis, and montecarlo simulations analysis for exploring the consequences of continuous risk to the project NPV.Based on the analysis, the project is feasible and exhibits a relatively low risk under discrete and continuous risk where based on scenario analysis NPV in worst case scenario is positive with val
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11

OTT, RICARDO, and EVERTON NEI LOPES RODRIGUES. "Two new species of orb-weaving spiders of the genus Larinia (Araneae, Araneidae) in meridional Brazil." Zootaxa 4247, no. 1 (2017): 89. http://dx.doi.org/10.11646/zootaxa.4247.1.13.

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The araneid genus Larinia Simon currently includes 56 species, eleven of them with New World distribution (World Spider Catalog, 2016). North American species of the genus were revised first time by Levi (1975) and South American species by Harrod et al. (1991). According to these authors there are four species known from subtropical South America (Larinia bivittata Keyserling 1885; L. montecarlo (Levi, 1988); L. t-notata (Tullgren, 1905); L. tucuman Harrod, Levi & Leibensperger, 1991) and also four species known from tropical South America (L. ambo Harrod, Levi & Leibensperger, 1991;
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12

Gutiérrez Urzúa, Mauricio I. "Proyección del ratio de pago de dividendos a través de la simulación de Montecarlo." Horizontes Empresariales 8, no. 1 (2015): 9–22. http://dx.doi.org/10.22320/hem.v8i1.2038.

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La presente investigación estima la tasa de pago de dividendos de las empresas chilenas, mediante la simulación de Montecarlo. El comportamiento de las variables exógenas del modelo se estimó a través de la teoría de agencia. La investigación se realizó para el período 2001 y 2005, por medio de una regresión de mínimos cuadrados generalizados (GLS), luego la variable endógena se proyectó utilizando la simulación de Montecarlo. Los resultados obtenidos mostraron que las empresas chilenas pagarían en promedio el 65% de sus utilidades como dividendos. AbstractThis paper estimated dividend payout
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13

Abdul Mongid, Suhartono Suhartono, Evi Sistiyarini, and Sutan Emir Hidayat. "HISTORICAL STRESS TEST OF CREDIT RISK USING MONTECARLO SIMULATION: INDONESIA ISLAMIC BANKING." International Journal of Business and Society 24, no. 2 (2023): 608–19. http://dx.doi.org/10.33736/ijbs.5947.2023.

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This study was conducted to assess the vulnerability of Islamic banking credit portfolios under macroeconomic shocks and their impact on NPFs, using the linear regression analysis. From the three proposed models, namely OLS, ARIMAX and Error Correction Model (ECM), the ECM model was selected as the best. By using the Montecarlo simulation, an estimate was made of the possible future value of the NPF in Islamic banking. The study established that exchange rates, economic disparities, inflation, economic growth and interest rates showed positive and significant effects on bank credit risk wherea
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14

Zea Gutiérrez, Jimmy Alejandro, Marco Javier Suárez Barón, and Juan Sebastián González Sanabria. "Aprendizaje por refuerzo como soporte a la predicción de la precipitación mensual. Caso de estudio: Departamento de Boyacá - Colombia." TecnoLógicas 27, no. 60 (2024): e3017. http://dx.doi.org/10.22430/22565337.3017.

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La emisión de gases de efecto invernadero, atribuida directa o indirectamente a la actividad humana, es la principal causa del cambio climático a nivel mundial. Entre los gases emitidos, el dióxido de carbono (CO2) es el que más contribuye a la variación espacio temporal de magnitudes físicas como la humedad relativa, la presión atmosférica, la temperatura ambiente y, de manera más significativa, la precipitación. El objetivo de la investigación fue presentar un análisis de la predicción de la precipitación mensual en el departamento de Boyacá mediante el uso de modelos basados en aprendizaje
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15

黄超, 黄超, 王治强 王治强, 张斌 张斌, and 刘薇 刘薇. "MonteCarlo Simulation of the Point Spread Function of CCD." Acta Optica Sinica 30, no. 9 (2010): 2703–9. http://dx.doi.org/10.3788/aos20103009.2703.

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16

Arunmohan, A. M., and M. Lakshmi. "Analysis of modern construction projects using montecarlo simulation technique." International Journal of Engineering & Technology 7, no. 2.19 (2018): 41. http://dx.doi.org/10.14419/ijet.v7i2.19.14535.

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Today, Construction based Industry is the prospering industry which has a high economical influence on any nation. Delay in the huge construction project increases the total project cost. Henceforth, uncertainties as well as risks must be significantly regarded during the project. For organizing and completing the projects in a financially, timely and qualitatively accountable manner, careful scheduling of projects is compulsory. Effectual scheduling of project assures project success. This study concentrates on qualitative analysis, risk identification, together with quantitative analysis. Th
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17

Agodi, A., та G. Andronico. "Probing finite size effects in (λΦ4)4 MonteCarlo calculations". Nuclear Physics B - Proceedings Supplements 73, № 1-3 (1999): 730–32. http://dx.doi.org/10.1016/s0920-5632(99)85187-1.

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18

Negishi, Saiko, Hiroshi Negishi, Minoru Sasaki, and Masasi Inoue. "Montecarlo Simulation of Intercalated Atomic Distributions in Layered Dichalcogenide." Molecular Crystals and Liquid Crystals Science and Technology. Section A. Molecular Crystals and Liquid Crystals 341, no. 2 (2000): 69–74. http://dx.doi.org/10.1080/10587250008026119.

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19

Carrasco-Machado, Jaime, Antony Macías Ramos, and Ronald Morales-Muñoz. "Un modelo probabilístico de inventarios por demanda independiente mediante el uso de GRASP." Ecuadorian Journal of Science, Research and Innovation 4, no. 1 (2020): 26–31. http://dx.doi.org/10.46480/ejsri.4.1.42.

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El objetivo de este estudio es minimizar el gasto de pedido innecesario que realiza la pañalera “La mejor pañalera”, debido a la poca demanda que tienen ciertos productos. Esta problemática surge debido a que los dueños tienen una incorrecta percepción sobre la demanda de los productos, realizando pedidos de forma empírica provocando que exista excedentes de estos en el establecimiento y por consiguiente se producen perdidas monetarias. Para llevar a cabo el objetivo de este estudio, se implementará una metodología que implica la aplicación del algoritmo Greedy Randomized Adaptive Search Proce
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20

Carrasco-Machado, Jaime, Antony Macías Ramos, and Ronald Morales-Muñoz. "Un modelo probabilístico de inventarios por demanda independiente mediante el uso de GRASP." Ecuadorian Science Journal 4, no. 1 (2020): 26–31. http://dx.doi.org/10.46480/esj.4.1.42.

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El objetivo de este estudio es minimizar el gasto de pedido innecesario que realiza la pañalera “La mejor pañalera”, debido a la poca demanda que tienen ciertos productos. Esta problemática surge debido a que los dueños tienen una incorrecta percepción sobre la demanda de los productos, realizando pedidos de forma empírica provocando que exista excedentes de estos en el establecimiento y por consiguiente se producen perdidas monetarias. Para llevar a cabo el objetivo de este estudio, se implementará una metodología que implica la aplicación del algoritmo Greedy Randomized Adaptive Search Proce
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21

Gaigals, Gatis, and Juris Roberts Kalniņš. "MODELLING OF AN A+B → A REACTION KINETICS IN CASE OF PARTICLES BIG FREE MEAN PATH." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (August 3, 2015): 249. http://dx.doi.org/10.17770/etr2009vol2.1021.

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The aim of the work is to develop model and program for particle simulations working on laws of particle diffusion in expansion mode and, using approach of MonteCarlo, allows analyzing regularity in two-dimensional A+B → A reactions in case of B particle large mean free path, providing visualization of results and handy further processing of results, using data export ability. In the work are examined regularities in A+B → A reactions, special issues of these reactions, found approximate formula to determine velocity of reaction on centre of absorption surface using simulated data, developed p
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22

Deng, Dongya, and Cuiye Peng. "New Methods with Capped Options for Pricing American Options." Journal of Applied Mathematics 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/176306.

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We propose two new methods: improved binomial methods and improved least square MonteCarlo methods (LSM), for pricing American options. These two methods are developed using the nice capped options which have closed-form formulas. Numerical examples are provided to verify that these two new methods are pretty efficient.
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23

Guerra Hernández, Mariano, Fernando Borrego Escalante, Arnoldo Oyervides García, and José Manuel Fernández Brondo. "Evaluación de genotipos de tomate considerando criterios fisiológicos, fenológicos y de rendimiento, bajo condiciones de alta temperatura, en invernadero." Revista Agraria 15, no. 1 (1999): 55–77. http://dx.doi.org/10.59741/agraria.v15i1.252.

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Se evaluaron doce genotipos de tomate con amplia diversidad genética, de abril a octubre de 1993, bajo condiciones de producción intensiva y alta temperatura, en invernadero. Para efectuar los análisis estadísticos correspondientes las variables en estudio se agruparon en variables fisiológicas y fenológicas, y en cuantitativas y cualitativas del rendimiento. 
 Las variables fisiológicas: fechas de evaluación y posición de la hoja mostraron efectos altamente significativos en fotosíntesis, transpiración, conductancia estomática y uso eficiente de agua. Los genotipos mostraron diferencias
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24

Medina Hurtado, Santiago, Jorge Restrepo-Morales, and Alejandro Bedoya. "Pérdidas Esperadas y Detrimento Patrimonial por Hurto Vehículos en Colombia." Cuadernos de Economía 36, no. 71 (2017): 261–92. http://dx.doi.org/10.15446/cuad.econ.v36n71.47450.

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Este trabajo presenta una aproximación metodológica basada en el concepto de valor en riesgo operativo (VaRop) para la estimación de las pérdidas económicas máximas esperadas por el hurto de vehículos asegurados en Colombia, desagregado por empresa aseguradora y para las principales ciudades del país. También se estima la pérdida patrimonial para propietarios cuyos vehículos no están asegurados. Para el primer propósito, se identificaron las distribuciones de probabilidad asociadas a las series de hurtos tanto para la frecuencia como para la pérdida económica mensual, las cuales fueron agregad
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25

Marcer, G., A. Zohar, A. Dal Molin, et al. "Analytical and MonteCarlo approaches to infer the total gamma ray emission from the JET tokamak." Journal of Instrumentation 18, no. 05 (2023): C05020. http://dx.doi.org/10.1088/1748-0221/18/05/c05020.

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Abstract A single gamma-ray spectrometer installed at the end of a collimator can be used to infer the total emission from a tokamak plasma if the transport of gamma-rays from the plasma to the detector is known. In such analysis, the plasma emission profile plays a fundamental role, since it impacts the fraction of plasma volume intercepted by the detector line of sight. In this work, the DT 17 MeV fusion gamma-rays emission profile of the JET discharge #99608 from second 46 to 48 has been estimated both with the TRANSP code and reconstructed through tomographic inversion based on the neutron
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Lascano, Julio, Luis Chiza, Roberth Saraguro, Carlos Quinatoa, and Jessy Tapia. "Estimación de la Demanda de una Estación de Carga para Vehículos Eléctricos Mediante la Aplicación de Métodos Probabilísticos." Revista Técnica "energía" 20, no. 1 (2023): 52–64. http://dx.doi.org/10.37116/revistaenergia.v20.n1.2023.569.

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En el presente artículo se presenta el estudio de la estimación de demanda de una estación de carga de vehículos eléctricos basado en el uso de simulación de Montecarlo. La modelación del sistema eléctrico se lo realiza a través del software de PowerFactory, por otra parte, para el desarrollo de las simulaciones de Montecarlo y el procesamiento de la información, se lo realiza a través del uso del software de Python. El análisis en general está enfocado en determinar el impacto de la integración de vehículos eléctricos en la red eléctrica, de forma que se generan escenarios que emulen la opera
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27

BONESINI, M., A. CALEGARI, P. ROSSI, and V. ROSSI. "MONTECARLO SIMULATIONS FOR A LEP EXPERIMENT WITH UNIX WORKSTATION CLUSTERS." International Journal of Modern Physics C 05, no. 05 (1994): 845–54. http://dx.doi.org/10.1142/s0129183194000982.

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Modular systems of RISC CPU based computers have been implemented for large productions of Montecarlo simulated events for the DELPHI experiment at CERN. From a pilot system based on DEC 5000 CPU’s, a full size system based on a CONVEX C3820 UNIX supercomputer and a cluster of HP 735 workstations has been put into operation as a joint effort between INFN Milano and CILEA.
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28

Gandica de Roa, Elizabeth María. "Potencia y Robustez en Pruebas de Normalidad con Simulación Montecarlo." Revista Scientific 5, no. 18 (2020): 108–19. http://dx.doi.org/10.29394/scientific.issn.2542-2987.2020.5.18.5.108-119.

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En esta investigación se planteó como objetivo general, examinar la potencia y robustez de las pruebas de normalidad en muestras grandes y pequeñas, generadas con simulación Montecarlo. Se aplicaron pruebas de hipótesis no paramétricas que miden el grado de discrepancia entre las distribuciones empíricas y la función de distribución acumulada normal, que analizan la correlación entre la distribución teórica y la experimental y las que se sustentan en el estudio de la asimetría y curtosis. La comparación se hizo en dos grupos con tamaño de muestras distintas. En las muestras grandes se comparar
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Yang, Yue, Jia Ping Yao, Xiu Jin Yang, and Zhi Bo Yang. "The Montecarlo Method in Application of Fatigue Life Reliability Analysis." Applied Mechanics and Materials 395-396 (September 2013): 822–25. http://dx.doi.org/10.4028/www.scientific.net/amm.395-396.822.

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Based on the probability theory, combined with the deterministic method for estimating the fatigue fracture mechanics, the formula was deduced to calculate the fatigue crack propagation life of examples components. The uncertainty and randomness of main assessment parameters were considered:initial crack size, practical working load,fracture toughness, mechanical intensity and coefficients. Since there are not many data, Weibull distribution was adopted to denote the life distribution of equipment approximately. A computer program was developed by using numerical integration method, and the fa
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Chen, Yuhua, Yongguo Yang, and Jinhui Luo. "Uncertainty Analysis of Coalbed Methane Economic Assessment with Montecarlo Method." Procedia Environmental Sciences 12 (2012): 640–45. http://dx.doi.org/10.1016/j.proenv.2012.01.329.

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Quino, L. Vazquez, S. Stathakis, A. Gutiérrez, C. Shi, and N. Papanikolaou. "SU-GG-T-435: Novalis Tx MonteCarlo Based Linear Accelerator." Medical Physics 37, no. 6Part22 (2010): 3286. http://dx.doi.org/10.1118/1.3468832.

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Camussi, A., and FM Stefanini. "The identification of poplar clones by montecarlo methods: the random forests." Forest@ - Rivista di Selvicoltura ed Ecologia Forestale 2, no. 2 (2005): 217–24. http://dx.doi.org/10.3832/efor0279-0020217.

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Inquilla-Mamani, Juan, and Omar Moisés Rodríguez-Limachi. "Análisis de riesgo mediante el método de simulación de Montecarlo aplicado a la inversión pública en el sector educativo peruano: el caso del departamento de Puno." Praxis 15, no. 2 (2019): 163–76. http://dx.doi.org/10.21676/23897856.2858.

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Los Estados en general invierten recursos económicos y financieros con la finalidad de mejorar los servicios educativos en los diferentes ámbitos y contextos. Para este propósito ejecutan proyectos de distintos tipos (infraestructura y de servicios). El objetivo de esta pesquisa es ofrecer un análisis de riesgo en los proyectos de inversión en el sector educación en el departamento de Puno. El estudio se basa en la aplicación del método de simulación de Montecarlo mediante el programa informático Risk Simulator y Crystal Ball. Los resultados indican que, para el proyecto de inversión pública e
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Cieslak, Mikolaj, Christiane Lemieux, Jim Hanan, and Przemyslaw Prusinkiewicz. "Quasi-Monte Carlo simulation of the light environment of plants." Functional Plant Biology 35, no. 10 (2008): 837. http://dx.doi.org/10.1071/fp08082.

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The distribution of light in the canopy is a major factor regulating the growth and development of a plant. The main variables of interest are the amount of photosynthetically active radiation (PAR) reaching different elements of the plant canopy, and the quality (spectral composition) of light reaching these elements. A light environment model based on Monte Carlo (MC) path tracing of photons, capable of computing both PAR and the spectral composition of light, was developed by Měch (1997), and can be conveniently interfaced with virtual plants expressed using the open L-system formalism. To
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Bettanti, Alberto, and Antonella Lanati. "A quantitative approach to risk-driven strategy formulation: A case study introducing a real-options framework." Frontiers in Management and Business 3, no. 2 (2022): 238–51. http://dx.doi.org/10.25082/fmb.2022.02.006.

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The thesis of this article advocates that a quantitative and analytical approach to the business value vs. risk relationship can effectively support company strategy formulation processes dealing with uncertain business scenarios. Within the grounded theory methodology, a suitable case study was selected among SMEs, and a real-options (RO) framework was applied to address the research question. This inductive-empirical methodology shows that the RO framework, in conjunction with the Montecarlo method, is a valuable tool capable of supporting the best strategy formulation by purposefully connec
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Villa Olmedo, Germán Francisco. "Modelo de Predicción del Precio de Bitcoin Mediante el Uso de Redes Bayesianas y Simulación de Montecarlo." Ciencia Latina Revista Científica Multidisciplinar 9, no. 2 (2025): 8422–50. https://doi.org/10.37811/cl_rcm.v9i2.17575.

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Se busca diseñar un modelo para la predicción del precio de Bitcoin través del tiempo, basado en una red bayesiana y la simulación de Montecarlo. Bitcoin es un medio de pago electrónico que permite transacciones irreversibles, persona a persona. Su precio varía por factores políticos, económicos, etc.; mismos que, organizados en una Red Bayesiana e iterados en una Simulación de Montecarlo, pueden predecir el precio. Se eligió un enfoque cuantitativo, una investigación predictiva, bibliográfica, con método deductivo, de muestra se tomó el precio de 5 189 días; se realizaron 10 000 iteraciones.
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GuzmanRosellon, Mariana Cassandra, and Gema Daniela Ramos Ortiz. "Quitosano: Evaluación económica para la producción industrial de un biopolímero." Memorias del Concurso Lasallista de Investigación, Desarrollo e innovación 6, no. 2 (2020): 15–18. https://doi.org/10.26457/mclidi.v6i2.2160.

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Se realizó una evaluación económica para decidir si el desarrollo de una planta productiva del biopolímero Quitosano, era rentable en México. Se encontró que la obtención de Quitosano es un proceso sencillo pues consta solo de mezcladores, tanques de lavado y prensas. Esto, porque el quitosano proviene de la quitina, material del que está conformado el exoesqueleto de ciertos artrópodos, de los cuales destacan los camarones. Por lo que, para obtener la quitina, basta con remover las impurezas, proteínas y minerales de la cáscara del camarón. A partir de la quitina, el quitosano se obtiene por
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38

Gil Miranda, Andres David, Walter Serna Serna, and Lina Marieth Zuleta Gilon. "Validación de resultados a través de algoritmo Montecarlo en procedimiento de calibración de temperatura." Ingeniería y Desarrollo 41, no. 01 (2023): 6–27. http://dx.doi.org/10.14482/inde.41.01.611.072.

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Los organismos evaluadores de la conformidad (OEC) acreditados por ISO/IEC 17025 realizan la validación de resultados, con el fin de confirmar mediante la revisión de competencia técnica la provisión de evidencia objetiva, evaluando el cumplimiento de los requisitos normativos necesarios para una aplicación específica [1]. La Guía para la expresión de la incertidumbre en la medición (GUM) proporciona dos alternativas para evaluar y expresar la incertidumbre de medición. La primera es una metodología basada en un modelo lineal de propagación de incertidumbre, y la segunda es un procedimiento al
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39

Castillo, M. S., V. Muñoz, and F. A. Calderón. "Using Montecarlo Optimization for an Improved Solar Active Region Algorithm Detection Scheme." Journal of Physics: Conference Series 2839, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1742-6596/2839/1/012012.

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Abstract In the present work we propose a new methodology for the automatic identification of solar active regions in solar magnetograms, that uses Montecarlo method to find the optimized filter parameters. The results not only show that it is possible to reconstruct the counts of databases, but also to a robust characterization of its shapes, yielding to the profiling of the active regions area distribution and longevity.
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40

HUANG, KERSON. "CONDITIONED SELF-AVOIDING WALK (CSAW): STOCHASTIC APPROACH TO PROTEIN FOLDING." Biophysical Reviews and Letters 02, no. 02 (2007): 139–54. http://dx.doi.org/10.1142/s1793048007000386.

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Conditioned self-avoiding walk (CSAW) is a model of protein folding that combines the features of self-avoiding walk (SAW) and the MonteCarlo method. It simulates the Brownian motion of a chain-molecule in the presence of interactions. The model is designed so that one can add desired features step by step. It can be used as guide to structure prediction, as well as theoretical laboratory.
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41

López, A., C. Pérez, A. Arias, et al. "STRAWBERRY FRUIT YIELD FORECAST BASED ON MONTECARLO METHODOLOGY AND ARTIFICIAL VISION." Acta Horticulturae, no. 1049 (August 2014): 551–52. http://dx.doi.org/10.17660/actahortic.2014.1049.84.

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42

Volken, W., M. Fix, D. Frei, M. Zulliger, and P. Manser. "1384 poster ANALYSIS OF THE DETECTOR RESPONSE FOR CT USING MONTECARLO." Radiotherapy and Oncology 99 (May 2011): S515. http://dx.doi.org/10.1016/s0167-8140(11)71506-7.

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43

Giner-Sanz, J. J., E. M. Ortega, and V. Pérez-Herranz. "Montecarlo based quantitative Kramers–Kronig test for PEMFC impedance spectrum validation." International Journal of Hydrogen Energy 40, no. 34 (2015): 11279–93. http://dx.doi.org/10.1016/j.ijhydene.2015.03.135.

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Braglia, G. L., G. L. Ricci, J. Wilhelm, and R. Winkler. "Montecarlo and boltzmann calculations of electron energy distributions in RF fields." Il Nuovo Cimento D 13, no. 10 (1991): 1235–46. http://dx.doi.org/10.1007/bf02458732.

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45

Swain, M., Prasanta Kumar Rath, Balaji Padhy, et al. "Understanding The Projectile Breakup Mechanism Using Monte Carlo Simulation Technique." East European Journal of Physics, no. 4 (November 18, 2024): 195–99. https://doi.org/10.26565/2312-4334-2024-4-18.

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A montecarlo modeling simulation has been performed to understand the breakup bellow the barrier and for 7Li+208Pb reaction. A wider detection cone has been found for near target breakup compaired to assomptotic breakup. The exclusive coincidence particle spectrum for alpha and triton has also simulated and found the breakup from difeerent resonant state. The data has also represented.A classical approach has been adopted to understand the reaction meachanism.
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46

Estela Urbina, Ronald Omar, Elisa Contreras Barsallo, Alcides Raúl Cuti Gutierrez, Luis Miguel Villegas Santamaría, Gustavo Adolfo Ulloa Ubillus, and José Orlando Namuche Paiva. "VARIEDAD GEOMÉTRICA DEL CACAO (THEOBROMA CACAO L.) DE BAGUA Y SU MODELACIÓN MATEMÁTICA EN PYTHON." REVISTA CIENTIFICA EPISTEMIA 6, no. 1 (2022): 74–89. http://dx.doi.org/10.26495/re.v6i1.2133.

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El objetivo de esta investigación es clasificar geométricamente el cacao que se produce en la provincia de Bagua, midiendo sus parámetros físico-geométricos, así como simular su volumen interno haciendo uso del método de Montecarlo a partir de la elaboración e implementación de dos modelos matemáticos codificados en el lenguaje de programación Python. La metodología empleada consistió en cinco fases que se fundamenta en construir un registro de 113 muestras de cacao producidos es la provincia de Bagua-Amazonas, realizada por estudiantes de la Universidad Nacional Intercultural “Fabiola Salazar
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47

Sánchez-Périz, Ixeia, Isabel Barrachina-Martínez, Javier Díaz-Carnicero, Andreu M. Climent, and David Vivas-Consuelo. "Cost-Effectiveness Mathematical Model to Evaluate the Impact of Improved Cardiac Ablation Strategies for Atrial Fibrillation Treatment." Mathematics 11, no. 4 (2023): 915. http://dx.doi.org/10.3390/math11040915.

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Atrial fibrillation (AF) is the most common form of cardiac arrhythmia. Despite the frequency of the disease, the treatment strategies for AF are inefficient. We developed a cost-effectiveness model to evaluate potential improvements in the application of cardiac ablations to treat AF. These are surgical procedures to terminate the arrhythmia and restore Sinus Rhythm. A Markov Model with a time horizon of five years was built to represent the management of patients in AF. A Montecarlo simulation was developed as a sensitivity analysis when the effectiveness increases the estimate of the potent
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Suazo, Álvaro, Camilo Sanhueza, Gerardo Coloma, and Gilda Espinoza. "Validación mediante simulación de Montecarlo de la eficiencia de un amortiguador de columna de líquido sintonizado óptimo para excitaciones de alto contenido de frecuencias." Obras y Proyectos, no. 34 (December 13, 2023): 55–68. http://dx.doi.org/10.21703/0718-2813.2023.34.2446.

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En esta investigación se analiza el valor de la eficiencia del Amortiguador de Columna de Líquido Sintonizado (ACLS), calculada a través de la teoría estocástica de vibraciones. Se emplean tres criterios o funcionales de optimización. El modelo consiste en un sistema principal de un grado de libertad, con comportamiento no lineal, controlado por un ACLS no lineal. El análisis estocástico supone un estado estacionario y realiza una linealización estadística equivalente, para el comportamiento no lineal, con lo que se obtienen reducciones teóricas de desplazamiento y de energía histerética. Lueg
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Cambillo-Moyano, Emma, Ysela Agüero-Palacios, Alicia Riojas-Cañari, Pedro Pesantes-Grados, and Roxana López-Cruz. "Bayesian estimation of parameters in a SI mathematical model for the transmision dynamics of an infectious disease in Peru." Selecciones Matemáticas 10, no. 01 (2023): 41–50. http://dx.doi.org/10.17268/sel.mat.2023.01.04.

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The objective of the research is to estimate the transmission rate of an infection (β) in the SI epidemical model, using Bayesian statistical methods from observed data in Peru. After studying the SI mathematical model and Bayesian statistical inference metho'ds, a Bayesian estimator is proposed to estimate the transmisión rate of an infection in this model and a procedure is proposed to estimate this rate using Montecarlo simulation based on Markov chains - MCMC.
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Bruzual A., Gustavo. "Stellar Populations in Star Clusters: The Role Played by Stochastic Effects." Symposium - International Astronomical Union 207 (2002): 616–24. http://dx.doi.org/10.1017/s0074180900224443.

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In this paper I combine the results of a set of population synthesis models with simple Montecarlo simulations of stochastic effects in the number of stars occupying sparsely populated stellar evolutionary phases, to show that the scatter observed in the magnitudes and colors of LMC and NGC 7252 star clusters can be understood in the framework of current stellar evolution theory, without the need to introduce ad-hoc corrections (e.g. artificially increasing the number of AGB stars).
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