ABSTRACT
La presente investigación se desarrolla en la sala de cuidados intensivos del hospital Dr. Joaquín Castillo Duany, de Santiago de Cuba, donde se aplica el análisis multivariado con el objetivo de determinar un modelo econométrico que permita estimar y evaluar los costos de calidad, contribuyendo significativamente a la obtención de la excelencia en los servicios de salud y al proceso de perfeccionamiento hospitalario. La investigación se sustenta en la aplicación de la correlación canónica como técnica multivariante muy potente y poco explotada, utilizando los principales pilares de la econometría como ciencia aplicada, donde se recopilan los indicadores de calidad y eficiencia con la finalidad de realizar un análisis multivariado, que ha permitido obtener un modelo econométrico para la estimación de los costos de calidad en el servicio seleccionado. El modelo aplicado, ha permitido cuantificar y evaluar el comportamiento de los costos de calidad, siendo de gran utilidad para generalizarlo a otros servicios en el sector de la salud. Constituye una herramienta de trabajo para la dirección de la entidad al permitir mejorar el proceso de toma de decisiones en relación con los costos de calidad y evaluar los niveles de eficiencia en los servicios de salud(AU)
The present investigation was done at the intensive care unit of the hospital Dr. Joaquín Castillo Duany in Santiago de Cuba. Multivariate analysis is applied in order to determine and apply a scientific econometric model that helps to estimate and evaluate quality costs, this model will contribute significantly on obtaining a better health service in the hospital. The investigation helps the general fundamental theory upon the quality cost and the application of the canonical correlation as a very potent and little exploited multivariate technique using the principal pillars of the econometrics as an applied science. The indicators of quality and efficiency with the final statistics has permitted us to obtain a mathematical model that permits the estimation of quality cost in the service selected. The above mentioned model application has permitted us to quantify and evaluate the conduct of the quality cost, making it a great utility to generalise to other entity services which constitutes a tool for improve decision making in relation with the cost of quality. It also benefits the evaluation of efficiency level in the health service(AU)
Subject(s)
Humans , Multivariate Analysis , Models, Econometric , Quality Indicators, Health Care/statistics & numerical dataABSTRACT
This study was conducted on Pinus nigra sub sp. pallasiana commonly known as crimean pine. The purpose of this study was to determine the important site factors affecting the development of these forests in Sutculer district. This district experiences a transitional climate between Mediterranean and Continental regions. There is a strong water deficit in summer. The data was collected from 37 sample plots. It was analyzed statistically by using upper stand height as a dependent variable and some site characteristics as independent variables. The results revealed that there was only one important negative linear relationship between upper stand height and Ah organic matter. This result was uncommon. The reasons for this depend indirectly other site factors (aspect, slope position, altitude, slope degree and humus forms). This result was explained at 69.53% of total variance using these site factors by means of factor analysis (FA). After FA, these site factors were transferred to stepwise disciriminant analysis (SDA) to determine eigenvalue ratios of the bonitet models. As a result of SDA, three bonitets and five variables (3B5V) were found as the best model with 71.5 % of variance and 0.007 % significance level.
ABSTRACT
The postmortem stature was measured in 57 Korean adult males (age range: 20-86 years old, mean: 52.3 years old) in supine position. After dissection of the corpses, we measured the maximum length of the remaining limb-bones (humerus, radius, ulna, femur, tibia and fibula). The correlation coefficients between the stature and each limb-bone length were calculated. Simple regression equations for estimating stature from each limb-bone length and multiple regression equations from the combination of limb-bone lengths were also obtained.