Relevant bibliographies by topics / Analisi montecarlo

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Analisi montecarlo'

Author: Grafiati
Published: 22 February 2023
Last updated: 31 July 2025

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Journal articles on the topic "Analisi montecarlo"

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Adhani, Lisa, Wahyu Kartika, and Dovina Navanti. "Analisis Air Buangan Kantin di Kampus II Universitas Bhayangkara Jakarta Raya." Jurnal Jaring SainTek 2, no. 1 (2020): 13–24. http://dx.doi.org/10.31599/jaring-saintek.v2i1.62.

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Canteen is a producer of domestic liquid waste that has the potential to cause pollution. Likewise with the student canteen, it has the potential to produce waste that causes environmental pollution if it is not treated properly. The use of Montecarlo software in this study is to support quantitative analysis in predicting potential pollution from Ubhara canteen waste with Crystall ball prediction. The results of laboratory analysis in the form COD, BOD dan TSS, showed that the quality of the canteen waste water did not meet the requirements for wastewater quality standard based on Ministry of
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Saepudin, Rustama. "Analisis Keberlanjutan Model Integrasi Lebah Dengan Kebun Kopi (Sinkolema) Dalam Rangka Peningkatan Produksi Madu dan Biji Kopi." Jurnal Sain Peternakan Indonesia 8, no. 1 (2013): 1–15. http://dx.doi.org/10.31186/jspi.id.8.1.1-15.

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ABSTRAKPenelitian tentang hubungan antara produksi madu pada integrasi lebah madu dan kebun kopi telah dilaksanakan di Kabupaten Kepahiang Provinsi Bengkulu. Tujuan penelitian adalah menganalisis keberlanjutan model integrasi lebah madu dan kebun kopi. Metoda penelitian dirancang berdasarkan MDS (Multidimentional Scalling) dengan menggunakan lima dimensi keberlanjutan yang dianalisis menggunakan montecarlo dan laverage. Data sekunder maupun data primer yang didisain dan dikumpulkan melalui Focus Group Discusion (FGD). Selanjutnya dihitung masing masing indek keberlanjutan dari lima dimensi. Te
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Iswati, Helmi, Rahmat Syahni, and Maiyastri . "PERBANDINGAN PENDUGA ORDINARY LEAST SQUARES (OLS) DAN GENERALIZED LEAST SQUARES (GLS) PADA MODEL REGRESI LINIER DENGAN REGRESOR BERSIFAT STOKASTIK DAN GALAT MODEL BERAUTOKORELASI." Jurnal Matematika UNAND 3, no. 4 (2014): 168. http://dx.doi.org/10.25077/jmu.3.4.168-176.2014.

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Pendugaan parameter model regresi linier pada analisis regresi linier, biasanyadilakukan dengan metode penduga OLS. Penduga OLS harus memenuhi asumsi-asumsistatistik yang disebut dengan asumsi klasik. Jika asumsi tidak dipenuhi, maka akanmenghasilkan kesimpulan yang tidak valid sehingga penduga OLS tidak bisa digunakanlagi dalam melakukan pendugaan parameter. Oleh karena itu diperlukan metode pendugaan lain untuk memperoleh hasil yang valid yaitu penduga GLS. Pelanggaran asumsidiantaranya terdapat autokorelasi pada galat model dan regresor bersifat stokastik.Adanya autokorelasi dengan regresor
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Gomes, Oliveira Mariana, Araujo Claudionisio Souza, Silva Luis Mauro Santos, and Miranda Izildinha Souza. "Sustentabilidade do Agroecossistema: Um Estudo de Caso em um Assentamento Agroextrativista da Amazônia Brasileira." Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences 66 (December 11, 2023): 1–15. https://doi.org/10.5281/zenodo.10358553.

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The evaluating sustainability indicators can demonstrate the diversity of agroecosystems and point out strategies that can lead to better sustainability rates. The aim of this study was to analyze a set of environmental, social, and economic indicators used to characterize the sustainability of agroecosystems of Praialta Piranheira Agroextractive Settlement Project, located in Eastern Amazon. The study was developed in six sectors of the settlement (Vila Belém, Maçaranduba, Maçaranduba II, Cupú, Praialta, and Tracoá), with each sector
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Thomas, Fiedler, V. Belova Irina, and E. Murch Graeme. "Lattice Monte Carlo Analyses of Thermal Diffusion in Laminar Flow." March 28, 2010. https://doi.org/10.5281/zenodo.1078281.

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Lattice Monte Carlo methods are an excellent choice for the simulation of non-linear thermal diffusion problems. In this paper, and for the first time, Lattice Monte Carlo analysis is performed on thermal diffusion combined with convective heat transfer. Laminar flow of water modeled as an incompressible fluid inside a copper pipe with a constant surface temperature is considered. For the simulation of thermal conduction, the temperature dependence of the thermal conductivity of the water is accounted for. Using the novel Lattice Monte Carlo approach, temperature distributions and energy fluxe
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Dissertations / Theses on the topic "Analisi montecarlo"

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Bella, Maurizio. "Modellazione numerica di strutture sismoresistenti e analisi probabilistiche di tipo montecarlo." Doctoral thesis, Università degli studi di Trieste, 2010. http://hdl.handle.net/10077/3460.

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2008/2009<br>Lo scopo della presente Tesi è lo sviluppo e la messa a punto di una serie di modelli numerici e codici di calcolo atti a modellare il comportamento di strutture sismoresistenti di tipo intelaiato sottoposte ad azione sismica al fine di poter effettuare una valutazione dell'affidabilità strutturale per mezzo di analisi probabilistiche di tipo Montecarlo. In particolare la modellazione dei giunti composti trave-colonna, è stata realizzata definendo un modello meccanico per componenti, atto a descrivere il comportamento del giunto modellato per mezzo di un insieme di elementi rigid
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Ceccomarini, Nicolò. "Applicazione della metodologia Montecarlo per l’analisi stocastica della fattibilità tecnica ed economica per il trattamento biologico della frazione organica dei rifiuti solidi urbani." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amslaurea.unibo.it/17523/.

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L'elaborato di tesi svolto in collaborazione con la Prof.ssa Bonoli ed in seguito ad un'esperienza semestrale con i docenti dell'Università di Granada, UGR, presso il dipartimento di Ingegneria Civile, è inerente ad uno studio di fattibilità tecnico-economica rivolto agli impianti di trattamento biologico della frazione organica dei rifiuti solidi urbani (FORSU). Lo studio in prima analisi si serve degli strumenti offerti dalla letteratura finanziaria, ossia attraverso l'analisi del Valore Attuale Netto. A partire da un'analisi costi / benefici effettuata attraverso lo studio delle fonti lette
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Rava, Andrea. "Analisi di Sensitività Globale (GSA) del modello di erosione del suolo RUSLE per il territorio dell’U.E." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Il Joint Research Center (JRC) utilizza il modello Revised Universal Soil Loss Equation (RUSLE) per stimare il potenziale di erosione idrica nell’UE, utilizzando i dati spaziali raccolti dallo European Soil Data Center (ESDAC). L’analisi di sensitività è uno strumento utilizzato per valutare la robustezza del modello e per definire le priorità dei fattori. Dipende dall’estensione dello spazio dei parametri analizzato e, in particolare per modelli non lineari e non additivi come RUSLE è preferibile utilizzare il metodo della varianza. Infatti, l’obiettivo dello studio era: (a) verificare la r
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Omiccioli, Andrea. "Sviluppo di modelli e metodi di ottimizzazione per il dock assignment in un magazzino cross-docking: Il caso OneExpress Italia S.p.A." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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Il seguente elaborato evidenzia il processo utilizzato per arrivare allo sviluppo di uno strumento che favorisca il processo decisionale all’interno dell’azienda One Express. Riporta le attività preliminari realizzate per arrivare ad una comprensione chiara e univoca del processo, in particolare: mappatura BPMN, realizzazione del layout aziendale e analisi “tempi e metodi”. Dall’analisi sono emerse le principali criticità che sono state classificate sia in termini strategici come la mancanza di un sistema a supporto per la scelta della buca di scarico ottimale, sia in termini operativi come
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Ballesteros, Villegas Marco Arturo, Zimbron Carlos Alberto Rotter, Villegas Mario Arturo BAllesteros, and Zimbrón Carlos Alberto Rotter. "Analisis de la contaminacion del aire en los municipios de Toluca, Metepec, San Mateo Atenco y Zinacantepec a traves de la metodologia de simulacion bajo el metodo de montecarlo, 2000-2020." Tesis de Licenciatura, Universidad Autonoma del Estado de Mexico, 2014. http://hdl.handle.net/20.500.11799/63991.

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Ubicada en la porción ce ntral del Estado de México, la zona m etropolitana del Valle de Toluca (ZMVT) se extiende sobre una superficie de 1,208.55 km 2 en la que habitan 1’361,500 personas, que la sitúan como la segunda concentración poblacional en importancia de la entidad y la quinta a nivel nacional. La evolución de la ZMVT es similar a la de otr as ciudades del país, al pasar de una economía rural a una industrial y de servicios, aunada a un continuo proceso de urbanización con una demanda de servicios y satisfactores a costa de los recursos n
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VALERI, GIOVANNA. "Una metodologia semplificata per la stima dell'affidabilità della valutazione sismica di strutture di muratura affette da elevata incertezza." Doctoral thesis, 2016. http://hdl.handle.net/11573/952758.

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L’attività di ricerca si propone di mettere a punto una metodologia in grado di fornire gli strumenti per una gestione agevole delle varie incertezze presenti nella valutazione sismica di strutture esistenti in muratura. Il livello di confidenza nella determinazione della risposta del sistema viene valutato ricorrendo a simulazioni statistiche di tipo Monte Carlo realizzate su un modello numerico non lineare sviluppato ad hoc e rappresentativo di una struttura in muratura. Lo studio probabilistico sviluppato nel lavoro impiega una procedura deterministica che ha origine dallo studio di una pa
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Book chapters on the topic "Analisi montecarlo"

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"Numerical Analysis and Montecarlo Simulations." In Statistical Signal Processing in Engineering. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119294016.ch10.

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Bittelli, Marco, Roberto Olmi, and Rodolfo Rosa. "Markov Chain Monte Carlo." In Random Process Analysis With R. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198862512.003.0008.

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Abstract Chapter 7 presents the Markov Chain Montecarlo method with a description of the probably the most famous algorithm in stochastic theory, the Metropolis algorithm. After a through description of the theory and code, the travelling salesman problem is presented, with the simulated annealing approach. The Travelling Salesman Problem is solved with the simulated annealing algorithm that exploits Markov Chains. The concept of Bayesian analysis is here briefly introduced and leading into the next Chapter.
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Conference papers on the topic "Analisi montecarlo"

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Cheldi, Tiziana, Paolo Cavassi, Luciano Lazzari, and Luca Pezzotta. "Use of Decision Tree Analysis and Montecarlo Simulation for Downhole Material Selection." In CORROSION 1997. NACE International, 1997. https://doi.org/10.5006/c1997-97018.

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Abstract The paper describes how corrosion engineers can use the decision tree analysis in order to evaluate and select the best materials for the completion of a new oil field, characterised by high CO2 and H2S content. The method has been based on the decision tree analysis and the Montecarlo simulation to obtain the probability distribution of some events to occur (for instance, number of workovers, corrosion inhibitor efficiency, coating damage rate). The corrosion study leads to four different technical solutions, showing different risk and reliability: carbon steel with corrosion allowan
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Magrin, Demetrio, Roberto Ragazzoni, Maria Bergomi, et al. "Manufacturing and alignment tolerance analysis through Montecarlo approach for PLATO." In SPIE Astronomical Telescopes + Instrumentation, edited by Howard A. MacEwen, Giovanni G. Fazio, Makenzie Lystrup, Natalie Batalha, Nicholas Siegler, and Edward C. Tong. SPIE, 2016. http://dx.doi.org/10.1117/12.2232565.

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Yang, Zhiyong, Xiaohui Qi, and Dianqing Li. "Reliability Sensitivity Analysis of Reinforced Tunnel System Using Advanced MonteCarlo Simulation." In Proceedings of the 7th International Symposium on Geotechnical Safety and Risk (ISGSR 2019). Research Publishing Services, 2019. http://dx.doi.org/10.3850/978-981-11-2725-0-is1-11-cd.

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Molina, Marco, and Amalia Ercoli Finzi. "MonteCarlo Techniques in Thermal Analysis – Design Margins Determination Using Reduced Models and Experimental Data." In International Conference On Environmental Systems. SAE International, 2006. http://dx.doi.org/10.4271/2006-01-2113.

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Boccardi, Alberto, Andrea Giubileo, and Claudio Cadegiani. "New Software for OPEX Estimation: Cost Driver Estimation (CODE) Tool with Montecarlo Risk Analysis Simulation." In SPE Production and Operations Conference and Exhibition. Society of Petroleum Engineers, 2010. http://dx.doi.org/10.2118/133555-ms.

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Yao, Xi-fan, Shi-yong Chen, and Bin Li. "Optimized Modal Research for a Manipulator using Bayesian based Model Updating after Montecarlo-based Sensitivity Analysis." In International Conference on Information System and Management Engineering. SCITEPRESS - Science and and Technology Publications, 2016. http://dx.doi.org/10.5220/0006448602570262.

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Garcia-Alfonso, Harold, and Diana-Margarita Cordova-Esparza. "Comparison of uncertainty analysis of the Montecarlo and Latin Hypercube algorithms in a camera calibration model." In 2018 IEEE 2nd Colombian Conference on Robotics and Automation (CCRA). IEEE, 2018. http://dx.doi.org/10.1109/ccra.2018.8588138.

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Caruanambo Carhuayano, Gian Pierre, Leslie Huancahuire Gamboa, Junior Julcamoro, Jimy Frank Oblitas Cruz, Aurorita Tello Zavala, and Walter Enrique Tiznado Rojas. "Prospective Analysis, AHP, Causal Loop Diagram and Montecarlo Simulation to reduce costs of a metal-mechanic company." In 22nd LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2024): “Sustainable Engineering for a Diverse, Equitable, and Inclusive Future at the Service of Education, Research, and Industry for a Society 5.0.”. Latin American and Caribbean Consortium of Engineering Institutions, 2024. http://dx.doi.org/10.18687/laccei2024.1.1.271.

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Sabit, M. Iqbal, Agus Mansur, and Faizuddin Firdaus. "Policy determination of inventory control of batik fabric using Q and P lost sale probabilistic model through montecarlo simulation approach as the system testing analysis." In THE 5TH INTERNATIONAL CONFERENCE ON INDUSTRIAL, MECHANICAL, ELECTRICAL, AND CHEMICAL ENGINEERING 2019 (ICIMECE 2019). AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0004281.

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Al-sharea, Maher, and Saif Alkaabi. "Uncertainty Analysis of Wellbore Instability: Impact of Parameters Interdependence on Drilling Decisions." In GOTECH. SPE, 2025. https://doi.org/10.2118/224812-ms.

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Abstract Uncertainty in input parameters and inconsistencies in wellbore stability analysis methods can lead to costly consequences. While the impact of uncertain parameters on wellbore stability has been widely discussed, the interdependence of these parameters and their influence on decision-making is rarely explored. This paper provides a consistent uncertainty analysis of wellbore stability considering uncertainty in input parameters and shows how the correlation of input parameters affects drilling decisions. A quantitative uncertainty analysis, decision analytics, and Monte Carlo simulat
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