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para random » para mandos (Expander búsqueda), para grandes (Expander búsqueda)
1
artículo
Publicado 2023
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In this paper we extensively develop some of the results obtained in reference (Cioletti et al., 2017). We use the Wasserstein distance to obtain some central limit type theorems for one-dimensional random processes having positive associated dependence.
2
artículo
The Prim's algorithm, extracted from the graph theory, is easily adaptable for generating random mazes in the game development process. This study provides the theoretical framework of the algorithm, its adaptation to generate two-dimensional arrays of values, coding in Java and use of libraries provided by this programming language. It restricts the creation of the arrays to a minimum size of 11x11 to ensure that generates coherent sizes mazes and its application is for generating orthogonal called labyrinths (2D view). Finally, the measurement is made of the performance of the proposed encoding and concludes that in all tests, the average response time is less than a tenth of a second to generate maps of labyrinths.
3
artículo
The Prim's algorithm, extracted from the graph theory, is easily adaptable for generating random mazes in the game development process. This study provides the theoretical framework of the algorithm, its adaptation to generate two-dimensional arrays of values, coding in Java and use of libraries provided by this programming language. It restricts the creation of the arrays to a minimum size of 11x11 to ensure that generates coherent sizes mazes and its application is for generating orthogonal called labyrinths (2D view). Finally, the measurement is made of the performance of the proposed encoding and concludes that in all tests, the average response time is less than a tenth of a second to generate maps of labyrinths.
4
documento de trabajo
Publicado 2016
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We use the approach of Qu and Perron (2013) for the modeling and inference of volatility of a set of commodity prices in the presence of level shifts of unknown timing, magnitude and frequency. The model has two features: (i) it is a stochastic volatility model comprising both a level shift and a short-memory process where the .rst component is modeled as a compounded binomial process while the second one is an AR(1) process; (ii) the model is estimated using Bayesian techniques in order to obtain posterior distributions of the parameters and the two latent components. We use six commodity series: agriculture, livestock, gold, oil, industrial metals and a general commodity index. All series cover the period from January 1983 until December 2013 in daily frequency. The results show that although the occurrence of a level shift is rare (about once every 1.5 or 1.8 years), this component cl...
5
documento de trabajo
Publicado 2014
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La literatura ha mostrado que la volatilidad de los retornos bursátiles y cambiarios muestra la característica de larga memoria. Otro hecho mostrado en la literatura es que dicha característica puede ser espúria y que en realidad la volatilidad está compuesta de un proceso de corta memoria contaminado con cambios de nivel aleatorios. En este documento, seguimos el enfoque de Lu y Perron (2010) y Li y Perron (2013) estimando un modelo de cambios de nivel aleatorios (RLS) al logaritmo del valor absoluto de los retornos bursátiles y cambiarios del Perú. El modelo consta de la suma de un componente de corta memoria y un componente de cambios de nivel. El segundo componente es especificado como la suma acumulada de un proceso que es cero con probabilidad 1-α y es una variable aleatoria con probabilidad α. Los resultados muestran que existen cambios de nivel que son infrecuentes pero ...
6
documento de trabajo
Publicado 2014
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La evidencia empírica indica que la volatilidad de las series de retornos bursátiles (o .financieras en general) poseen la característica de larga memoria. Sin embargo, de otro lado, existe evidencia que ha mostrado que los procesos de memoria corta contaminados con cambios de nivel aleatorios o esporádicos a menudo pueden ser confundidos con procesos de larga memoria en cuyo caso se dice que esta larga memoria es espuria. En este caso se tiene procesos con memoria larga espúria. Este trabajo representa un estudio empírico del modelo de cambio de nivel aleatorio (RLS), utilizando el enfoque de Lu y Perron (2010) y Li y Perron (2013) para la volatilidad de los retornos bursátiles diarios de cinco países de América Latina. El modelo RLS consiste en la suma de un componente de memoria corta y un componente de cambio de nivel aleatorios, el cual se rige por un proceso de Bernoulli c...
7
artículo
Publicado 2020
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The political events of a nation rule the agglomerated milestone of opinion figures, who agitate the masses for a particular political ideology. That representation is subject to politicians representing a political party, at the same time it has to be based on programmatic ideologies with a journalistic dissemination body that points to a rule in its historical process, for example the ideological struggles in the journalistic industries: “The group tends to assimilate all the elements capable of claiming socialism without excepting those that come from gonzalezpradista radicalism and are preserved outside the political parties ”(Mariátegui, 1986, p.99)
8
artículo
Publicado 2023
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Early enteral nutrition through a feeding tube is essential for the management of severe acute pancreatitis (SAP). Nasojejunal tube nutrition has been preferred on the assumption that it provided pancreatic rest in comparison to the nasogastric tube. However, nasojejunal tube placement is complex, may delay feeding initiation and can increase hospital costs. Our aim was to compare the efficacy and safety of enteral feeding with a nasogastric tube versus nasojejunal tube in patients with SAP. We searched four databases (PubMed, Web of Science, Scopus, and Embase) until December 1, 2022. We included randomized controlled trials (RCTs) comparing enteral feeding by nasogastric and nasojejunal tubes in patients with SAP. Primary outcome was all-cause mortality. Secondary outcomes were organ failure, infection, complications, surgical intervention, duration of tube feeding and length of hospit...
9
artículo
Publicado 2013
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In this monograph we continue with the inspection initiated in [1] on the fundamental tools introduced in the approach proposed in [2,3] for the study of metastability. We give the definition of the Poisson random measures and prove the main properties that we will subsequently use to construct Markov processes with finite state space. Such construction will allow us to provide a probabilistic proof of the fact that the law of a Markov process solves the martingal problem.
10
documento de trabajo
Publicado 2016
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Following Varneskov and Perron (2014), I apply the RLS-ARFIMA(0,d,0) and the RLS-ARFIMA (1,d,1) models to the daily stock and Forex market returns volatility of Argentina, Brazil, Chile, Mexico and Peru. It is a parametric state-space model with an estimation framework that combines long memory and level shifts by decomposing the underlying process into a simple mixture model and ARFIMA dynamics. The full sample parameters estimates show that level shifts are rare but they are present in all series. A genuine long-memory component is present in volatility of some countries and the results suggest that the remaining short-memory component is nearly uncorrelated once the level shifts are accounted for. I compare the results with four RLS models as in Xu and Perron (2014) and applied in Rodríguez (2016) for same Latin-American series. An out-of-sample forecasting comparison is also perform...
11
tesis de grado
Publicado 2023
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El estudio de caso se centra en la implementación del sistema de gestión Random ERP en una empresa agroexportadora peruana con un enfoque principal en el área comercial. La presente empresa buscaba mejorar la trazabilidad documentaria con la finalidad de aumentar su competitividad en la industria. La implementación del ERP resultó en mejoras significativas en la eficiencia operativa. Los procesos de venta, facturación y seguimiento de pedidos se optimizaron. De esta manera, se redujeron los errores y se aumentó la velocidad de respuesta a los clientes. Además, se logró una mayor visibilidad en tiempo real de las operaciones comerciales, lo que permitió una toma de decisiones más informada. La empresa pudo adaptarse rápidamente a los cambios regulatorios para garantizar la calidad y trazabilidad de sus productos, lo que fue esencial para acceder a mercados exigentes. Cabe menc...
12
tesis de grado
Publicado 2025
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Entre los factores que influyen en la adquisición de capacidades y conocimientos relacionados al ajedrez se encuentran los psicológicos, cognitivos y sociales. Es fundamental tomar en cuenta estos factores para la realización de predicciones del rendimiento de estudiantes de ajedrez, las cuales permiten a los docentes generar nuevos planes de aprendizaje para la disminución del índice del fracaso académico en este ámbito. En el presente documento se detalla la elaboración de un modelo predictivo basado en el algoritmo de Machine Learning, Random Forest, para evaluar la probabilidad de éxito de los estudiantes de una academia peruana de ajedrez en torneos internos. Esta evaluación tiene como objetivo implementar mejoras en el proceso de evaluación del rendimiento de los estudiantes. Para la construcción del modelo, seleccionamos las características demográficas y académicas...
13
artículo
Publicado 2022
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Remote sensing with large-scale satellite images for precision studies in grasslands has spatial and spectral resolution limitations. Against this, using spectral signs and vegetation indices obtained with microsensors transported by unmanned aerial vehicles (UAV) constitutes a more accurate alternative for biomass estimation. In the fieldwork, images were acquired with microsensors, and fixed transects of 100 m were used where vegetation samples were collected. The photographs acquired with the UAV were processed in Pix 4D, Arc Gis, and algorithms elaborated in R programming language. The biomass estimation was carried out with Multiple Linear Regression, Vector Support Machine, and Random (Forest Random) models. The Random model showed a Kappa coefficient of 0.94 in the training set and 0.901 in the test set (R2 = 0.482). The Random Forest model predicted 3 g/pixel of MV for Puna grass...
14
artículo
Publicado 2023
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During their university years, the student of architecture carries out several hands-on works that are essential for their academic development such as the making of models, plans, and reports that are mostly discharged later without considering their value. Therefore, the aim of this research was to analyze the management of solid waste generated in the FAUA-UPAO Architecture Program, considering the principles of the 5Rs and the recycling culture that students have. For this, the waste produced was sorted out based on its lifetime and toxicity level. Secondly, 218 surveys were applied to students chosen under simple random sampling probability in order to know their ecological habits and their predisposition for recycling, obtaining an estimate of the amount of materials used and discarded at the end of the academic semester; likewise, an interview was conducted with the university boa...
15
artículo
Publicado 2018
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Los inventarios de biodiversidad en sitios contrastantes obtienen datos con distribuciones normales y lognormales, útiles para cuantificar cómo el cambio climático afecta a los bosques del mundo. Sin embargo, casi todos los biólogos están familiarizados con la normal, pero menos discuten el por qué la distribución lognormal de frecuencias relativas de especies ocurre en tantas comunidades bióticas. Pretendemos incorporar a más estudiosos a dicha discusión. Tanto la normal como la lognormal tienen medias y valores extremos. Ello es consistente con el teorema del límite central; válido cuando los datos de un muestreo provienen de procesos aleatorios y el muestreo ha sido estocástico y representativo. Según la Teoría Neutral Unificada de la Biodiversidad y la Biogeografía de Steve Hubbell, basta considerar que la natalidad, mortalidad, migraciones y especiación en una comun...
16
artículo
Publicado 2023
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Gamification is the use of game elements to promote motivation, increase participation, and enhance the teaching and learning process. The purpose of this study was to develop a methodological strategy based on gamification to reinforce the teaching and learning process of the English language at the upper basic level of the Charapotó Educational Unit. A methodology with a socio-critical approach, a mixed approach, and a descriptive research type with a non-experimental design were used. The population consisted of 3 English teachers and 295 upper basic students. The sample included all the teachers, and through a simple random probability sampling analysis, 167 students from the Charapotó Educational Unit in the province of Manabí, Ecuador, were selected. Techniques such as observation, surveys, interviews, and bibliographic analysis were employed, considering the dimensions of teach...
17
artículo
Publicado 2018
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The present article proposes to design a model that provides a generic architecture which acts autonomously in public works contracting selection processes, in order to generate an automated decision criterion in the event of a tie. For the Simplified Tender selection process, in case of a tie, it is proposed to choose the bidder by means of an electronic lottery based on a controlled randomization system of encryption and transformation. For the Public Bidding selection process, in the event of a tie, the bidder is chosen by means of a predicted compliance index according to the behavior of the companies when executing similar infrastructure projects. To this end, a model that predicts the probability of success or failure of the bidder to execute a project before initiating it is generated, using artificial neural networks as an analysis tool. This paper reviews the common characterist...
18
artículo
Publicado 2018
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The present article proposes to design a model that provides a generic architecture which acts autonomously in public works contracting selection processes, in order to generate an automated decision criterion in the event of a tie. For the Simplified Tender selection process, in case of a tie, it is proposed to choose the bidder by means of an electronic lottery based on a controlled randomization system of encryption and transformation. For the Public Bidding selection process, in the event of a tie, the bidder is chosen by means of a predicted compliance index according to the behavior of the companies when executing similar infrastructure projects. To this end, a model that predicts the probability of success or failure of the bidder to execute a project before initiating it is generated, using artificial neural networks as an analysis tool. This paper reviews the common characterist...
19
tesis de grado
Publicado 2022
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The objective of the research was to determine the factors of consumer behavior that influence the purchase pro- cess of bodegas in the context of COVID-19 in the year 2021. The study was carried out from the quantitative approach, with a research design non-experimental-transversal-explanatory. A questionnaire consisting of 31 questions was applied to 399 consumers who attended Peruvian bodegas, who were randomly selected for the application of the instrument. The results generated by structural equations show that social factors and psychological factors of consumer behavior signifi- cantly influence the purchase process (p < 0.05); however, unlike the previous results, the cultural factors of consumer behavior do not have significant implications in the purchase decision (p value = 0.054 < α = 0.05) and in the feeling after the purchase (p value = 0.082 < α = 0.05), as well as the p...
20
tesis de grado
Publicado 2021
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El presente estudio se llevó a cabo en el Instituto de Educación Superior Pedagógico Público Juliaca (IESPPJ), ubicado en el distrito de San Miguel de la Provincia de San Román, durante el año 2020, tuvo como objetivo general implementar un modelo de aprendizaje automático supervisado para identificar patrones de bajo rendimiento académico en los ingresantes al Instituto de Educación Superior Pedagógico Público – Juliaca, para su desarrollo de empleó la metodología de minería de datos denominado: CRISP-DM (Cross Industry Standard Process for Data Mining), el algoritmo Random Forest Classifier, dicho algoritmo fue entrenado con datos socioeconómicos, datos de admisión y datos académicos logrando un accuracy del 86%, permitiendo identificar las variables que más influyen en el rendimiento académico tales como: El promedio final del examen de admisión, edad, número de...
