Smoothing Parameters
Mostrando 1-12 de 15 artigos, teses e dissertações.
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1. Relationship of gender and age on thyroid hormone parameters in a large Chinese population
ABSTRACT Objective This study aimed to present the impact of age and gender on thyroid hormone levels in a large Chinese population with sufficient iodine intake. Subjects and methods A total of 83643 individuals were included and were stratified by age and gender. The median, 2.5th and 97.5th of thyrotropin (TSH), free triiodothyronine (FT3), free thyro
Arch. Endocrinol. Metab.. Publicado em: 2020-02
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2. Relationship of gender and age on thyroid hormone parameters in a large Chinese population
ABSTRACT Objective This study aimed to present the impact of age and gender on thyroid hormone levels in a large Chinese population with sufficient iodine intake. Subjects and methods A total of 83643 individuals were included and were stratified by age and gender. The median, 2.5th and 97.5th of thyrotropin (TSH), free triiodothyronine (FT3), free thyro
Arch. Endocrinol. Metab.. Publicado em: 30/09/2019
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3. A Time-Varying Fiscal Reaction Function for Brazil
Resumo Este artigo avalia a sustentabilidade da dívida pública brasileira usando dados mensais de janeiro de 2003 a junho de 2016 com base na estimação de funções de reação fiscal cujos coeficientes variam ao longo do tempo. Consideramos três métodos de estimação: filtro de Kalman, suavização por spline penalizado e cointegração variante no t
Estud. Econ.. Publicado em: 2019-03
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4. Chromophoreasy, an Excel-Based Program for Detection and Integration of Peaks from Chromatographic and Electromigration Techniques
This paper describes the development, evaluation, features and applications of Chromophoreasy, an alternative Excel-based program for recognition and integration of chromatographic and electrophoretic peaks. The proposed recognition is made according to parameters adjustable by the analyst, such as time range, noise smoothing window size and slope/curvature
J. Braz. Chem. Soc.. Publicado em: 2016-10
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5. Integrating Ridge-type regularization in fuzzy nonlinear regression
In this paper, we deal with the ridge-type estimator for fuzzy nonlinear regression models using fuzzy numbers and Gaussian basis functions. Shrinkage regularization methods are used in linear and nonlinear regression models to yield consistent estimators. Here, we propose a weighted ridge penalty on a fuzzy nonlinear regression model, then select the number
Comput. Appl. Math.. Publicado em: 2012
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6. BIAS DETECTION IN DEMAND FORECASTING / DETECÇÃO DE VIÉS NA PREVISÃO DE DEMANDA
The purpose of this dissertation is to propose two new methods for detection of biases in demand forecasting. These methods are adaptations of two statistical process control techniques, the EWMA control chart and the CUSUM control chart (or CUSUM algorithm), to the context of the detection of biases in demand forecasting. The performance of the proposed met
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/09/2011
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7. Taxas de SobrevivÃncia de Participantes de Fundos de PensÃo Vinculados ao Setor ElÃtrico Nacional / Survival Rates of Participants of Pension Funds Deposits with the National Electric Power Sector
This paper aims to calculate the survival rates of the participants of the Pension Funds electricity sector as well as finding the parametric survival model that best represents the data in the study. For development work we used data from 14 organizations with information of participants and retirees, with the exception of the disabled, for the period 2001
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 28/02/2011
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8. Estudo comparativo de métodos geoestatísticos de estimativas e simulações estocásticas condicionais / Comparative study of geostatistical estimation methods and conditional stochastic simulations
Different geostatistical methods present themselves as the optimal solution to different realities according to the characteristics displayed by the data in analysis. Some of the most popular estimation methods include ordinary kriging and lognormal ordinary kriging, this last one involving the transformation of data from their original space to a Gaussian d
Publicado em: 2009
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9. A study of ordinary kriging smoothing effect using diferent statistics distributions / Estudo do efeito de suavização da krigagem ordinária em diferentes distribuições estatísticas
This dissertation presents the results of an investigation into the effectiveness of the post-processing algorithm for correcting the smoothing effect of ordinary kriging estimates. Three different statistical distributions have been considered in this study: gaussian, lognormal and inverted lognormal. As we know among these distributions, the lognormal dist
Publicado em: 2007
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10. Determinação simultanea e não-destrutiva de solidos totais e soluveis, licopeno e beta-caroteno em produtos de tomate por espectroscopia no infravermelho proximo utilizando calibração multivariada
SIMULTANEOUS AND NON-DESTRUCTIVE DETERMINATION OF TOTAL AND SOLUBLE SOLIDS, LYCOPENE AND BETA-CAROTENE IN TOMATO PRODUCTS BY NEAR INFRARED SPECTROSCOPY AND MULTIVARIATE CALIBRATION brings the development of calibration models by using chemometrical techniques of rnultivariate data regression. The sirnultaneous and non-destructive determination of important p
Publicado em: 2004
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11. AN INTEGRATING MODEL FOR THE ACQUISITION AND USE OF METALLURGICAL COALS IN STEELWORKS
The coal supply to steelworks is usually seen as presenting two distinct but related problems: (i) how to determine the amounts of different types of coals to buy from the available suppliers, typically planned ahead for a year and (ii) the operational problem of using the coals available in the stockyards on a daily and weekly basis. The supply model develo
Publicado em: 1995
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12. Uma ferramenta computacional para processamento de imagens obtidas por cineangiocardiografia e avaliação da função ventricular esquerda
Cineangiocardiography has been considered the most reliable technique to examine cardiac functions. Although subjective visual interpretation of ventriculography data is the most widely method used, many studies show a high interobsel Verand intraobserver variability. In order to perform a semiautomatic analysis of the left ventricle function, it has been de
Publicado em: 1993