3 resultados para MQE


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The application of airborne laser scanning (ALS) technologies in forest inventories has shown great potential to improve the efficiency of forest planning activities. Precise estimates, fast assessment and relatively low complexity can explain the good results in terms of efficiency. The evolution of GPS and inertial measurement technologies, as well as the observed lower assessment costs when these technologies are applied to large scale studies, can explain the increasing dissemination of ALS technologies. The observed good quality of results can be expressed by estimates of volumes and basal area with estimated error below the level of 8.4%, depending on the size of sampled area, the quantity of laser pulses per square meter and the number of control plots. This paper analyzes the potential of an ALS assessment to produce certain forest inventory statistics in plantations of cloned Eucalyptus spp with precision equal of superior to conventional methods. The statistics of interest in this case were: volume, basal area, mean height and dominant trees mean height. The ALS flight for data assessment covered two strips of approximately 2 by 20 Km, in which clouds of points were sampled in circular plots with a radius of 13 m. Plots were sampled in different parts of the strips to cover different stand ages. The clouds of points generated by the ALS assessment: overall height mean, standard error, five percentiles (height under which we can find 10%, 30%, 50%,70% and 90% of the ALS points above ground level in the cloud), and density of points above ground level in each percentile were calculated. The ALS statistics were used in regression models to estimate mean diameter, mean height, mean height of dominant trees, basal area and volume. Conventional forest inventory sample plots provided real data. For volume, an exploratory assessment involving different combinations of ALS statistics allowed for the definition of the most promising relationships and fitting tests based on well known forest biometric models. The models based on ALS statistics that produced the best results involved: the 30% percentile to estimate mean diameter (R(2)=0,88 and MQE%=0,0004); the 10% and 90% percentiles to estimate mean height (R(2)=0,94 and MQE%=0,0003); the 90% percentile to estimate dominant height (R(2)=0,96 and MQE%=0,0003); the 10% percentile and mean height of ALS points to estimate basal area (R(2)=0,92 and MQE%=0,0016); and, to estimate volume, age and the 30% and 90% percentiles (R(2)=0,95 MQE%=0,002). Among the tested forest biometric models, the best fits were provided by the modified Schumacher using age and the 90% percentile, modified Clutter using age, mean height of ALS points and the 70% percentile, and modified Buckman using age, mean height of ALS points and the 10% percentile.

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This research evaluated the quality of the management of Brazilian stock funds on the period from January 1997 to October 2006. The analysis was based on the Modern Portfolio Theory measures of performance. In addition, this research evaluated the relevance of the performance measures The sample with 21 funds was extracted from the 126 largest Brasilian stock options funds because they were the only with quotas on the whole period. The monthly mean rate of return and the following indexes were calculated: total return, mean monthly return, Jensen Index, Treynor Index, Sharpe Index, Sortino Index, Market Timing and the Mean Quadratic Error. The initial analysis showed that the funds in the sample had different objectives and limitations. To make valuable comparisons, the ANBID (National Association of Investment Banks) categories were used to classify the funds. The measured results were ranked. The positions of the funds on the rankings based on the mean monthly return and the indexes of Jensen, Treynor, Sortino and Sharpe were similar. All of the ten ACTIVE funds of this research were above the benchmark (IBOVESPA index) in the measures above. Based on the CAPM, the managers of these funds got superior performance because they might have compiled the available information in a superior way. The six funds belonging to the ANBID classification of INDEXED got the first six positions in the ranking based on the Mean Quadratic Error. None of the researched funds have shown market timing skills to move the beta of their portfolios in the right direction to take the benefit of the market movements, at the significance level of 5%.

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Este análisis muestra detalladamente la línea de producción de la planta de Volkswagen, ubicada en México en el estado de Puebla. Se describe la capacidad operativa utilizada para satisfacer la demanda de la planta de producción de automóviles más grande de Latinoamérica, siendo clave para mantenerse en el mercado con estándares de calidad altos y contribuir al desarrollo de la economía del país. Asimismo, a nivel regional, esta planta se abastece de proveedores estratégicos ubicados en una zona cercana, ayudando a disminuir costos de transporte de piezas y tiempos de respuesta. Inicialmente se realiza una breve descripción del entorno económico de la empresa a nivel regional y del sector a nivel global para hacer énfasis en lo competitivo que es el mercado de la producción de automóviles. Posteriormente se describe la finalidad que tiene esta misión empresarial soportada por la Universidad del Rosario, donde se afianzan conocimientos importantes sobre un mercado de talla mundial. El siguiente aspecto es un diagnóstico de la empresa, donde se dan a conocer las marcas que hacen parte del grupo Volkswagen y la situación financiera que refleja la marca desde el 2012, revelando los ingresos obtenidos durante el período 2012-2014, gastos operacionales y factores que no se destacan positivamente como un flujo de caja negativo para el 2014. Posteriormente se plasman los conceptos teóricos necesarios para que el lector comprenda las variables inmersas en una planta de producción, destacando la teoría de colas y el diseño del layout de la empresa. Finalmente, se da una descripción detallada del proceso de producción en esta planta, donde se muestra la línea de producción, el ensamble y la importancia de un sistema operativo interno que depende principalmente de una alta inversión de tecnología e ingeniería que permite obtener un mayor beneficio en cada etapa del proceso.