Time Series Errors
Mostrando 1-12 de 32 artigos, teses e dissertações.
-
1. Case Series of Right Colon Diverticulitis in the West: A Neglected Disease?
Abstract Introduction Right colon diverticulitis (RCD) is an uncommon condition in Western populations, but its incidence has increased over the last decades. Due to its rarity, many surgeons are unfamiliar with this disease, which is often mistakenly diagnosed as acute appendicitis. The lack of data about the diagnosis and management of RCD in Western popu
Journal of Coloproctology (Rio de Janeiro). Publicado em: 2022
-
2. SYHDA – System of Hydrological Data Acquisition and Analysis
RESUMO A aquisição e a análise de séries hidrológicas são tarefas indispensáveis para estudos hidrológicos em bacias hidrográficas, no entanto, demandam tempo e normalmente apresentam complexidade e estão susceptíveis a erros humanos. A fim de minimizar estes problemas, frequentemente são empregadas ferramentas computacionais de análises hidrol
RBRH. Publicado em: 18/02/2019
-
3. Simple but accurate periodic solutions for the nonlinear pendulum equation
Abstract Despite its elementary structure, the simple pendulum oscillations are described by a nonlinear differential equation whose exact solution for the angular displacement from vertical as a function of time cannot be expressed in terms of an elementary function, so either a numerical treatment or some analytical approximation is ultimately demanded. Su
Rev. Bras. Ensino Fís.. Publicado em: 21/09/2018
-
4. Variabilidad de Baja Frecuencia de la Persistencia de la Temperatura en el Sudeste de Sudamérica
Abstract Eight reference stations in south-eastern South America are analysed to derive the auto-covariance and auto-correlations of maximum and minimum temperature. Through the analysis are observed oscillations of periods between 18 and 25 years in the series studied. These periodicities show changes over time, especially in the 1950-1970 period. The excep
Rev. bras. meteorol.. Publicado em: 2017-03
-
5. COMPARISON OF METHODS FOR ESTIMATING REFERENCE EVAPOTRANSPIRATION: AN APPROACH TO THE MANAGEMENT OF WATER RESOURCES WITHIN AN EXPERIMENTAL BASIN IN THE BRAZILIAN CERRADO
ABSTRACT This study aimed to compare methods for estimating reference evapotranspiration using an experimental basin in the Brazilian Cerrado, for water management purposes. For that, we estimated daily reference evapotranspiration over a certain period (time series between 1982 and 2012) through different empirical methods. These methods consisted of Blaney
Eng. Agríc.. Publicado em: 2016-12
-
6. Modelagem de volatilidade via modelos GARCH com erros assimétricos: abordagem Bayesiana / Volatility modeling through GARCH models with asymetric errors: Bayesian approach
A modelagem da volatilidade desempenha um papel fundamental em Econometria. Nesta dissertação são estudados a generalização dos modelos autorregressivos condicionalmente heterocedásticos conhecidos como GARCH e sua principal generalização multivariada, os modelos DCC-GARCH (Dynamic Condicional Correlation GARCH). Para os erros desses modelos são con
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/06/2012
-
7. AplicaÃÃo do MÃtodo das Isozonas na ObtenÃÃo das EquaÃÃes IDF de Chuvas Intensas dos MunicÃpios de Juazeiro do Norte, Barbalha e Crato - CE / Isozones Method applied in the obtention of the heavy rainfall IDF equations of the Juazeiro do Norte, Barbalha and Crato (CE) municipalities.
The increase in use of urban and rural land demands knowledge on statistically treated data on intensity, duration and frequency of heavy rainfall, allowing better forecasting of peak flow rates - used in the design of drainage networks. The damage caused by flooding of urban and rural areas are only avoided by well dimensioned drainage works, resulting in c
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/11/2011
-
8. Prediction of the level of Paraguay river using neural networks.
Backpropagation neural networks are implemented for prediction of the level of Paraguay River at Ladario city, MS. Using 274 monthly mean values, the trained network predicts the levels of the four next months with relative errors smaller than 17%. For some special points, the prediction results also show that the neural network method seems to be useful to
Pesquisa Agropecuaria Brasileira. Publicado em: 2011
-
9. Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.
Despite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of
INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES. Publicado em: 2011
-
10. Soy production area estimates in Mato Grosso, Brazil, using MODIS NDVI time series.
Brazil is the second largest soy producer in the world, with an estimated crop of 57 million tons in 2008/2009 season (CONAB). Total planted area accounted for 21.7 million ha, 26% of which is located in Mato Grosso state (MT). Given the large extent of Brazilian soy production and its economical impact for both national and international markets, crop area
MEETING OF THE AMERICAN. Publicado em: 2011
-
11. Non-parametric regression with correlated errors using wavelets / Regressão não-paramétrica com erros correlacionados via ondaletas.
In this thesis, rates of convergence to zero are obtained for the estimation risk, for non-parametric regression using wavelets, when the errors are correlated. Four non-parametric regression methods using wavelets, with un-equally spaced design are studied in the presence of correlated errors, that come from stochastic processes. Conditions on the errors an
Publicado em: 2008
-
12. Structural damage detection using time series analysis and piezoelectries actuators and sensors / Detecção de danos estruturais usando analise de series temporais e atuadores e sensores piezeletricos
This work proposes a novel approach to detect and locate incipient damage in structures by using only acceleration responses and coupled piezoelectric actuators and sensors. Though the major focus in smart damage detection is given by on the monitoring of the electrical impedance in the frequency domain, the current contribution applies a novel technique bas
Publicado em: 2008