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Mostrando ítems 61-70 de 3061
Linear minimum mean square filter for discrete-time linear systems with Markov jumps and multiplicative noises
(PERGAMON-ELSEVIER SCIENCE LTD, 2011)
In this paper we obtain the linear minimum mean square estimator (LMMSE) for discrete-time linear systems subject to state and measurement multiplicative noises and Markov jumps on the parameters. It is assumed that the ...
Method to measure, model, and predict depth and positioning errors of RGB-D Cameras in function of distance, velocity, and vibration
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2021-08-02)
This thesis proposes a versatile methodology for measuring, modeling, and predicting
errors as the Root Mean Square Error (RMSE) in depth and the Relative Positioning Error (RPE) using data captured from an RGB-D camera ...
ROBUST RATIO TYPE ESTIMATORS IN SIMPLE RANDOM SAMPLING USING HUBER M ESTIMATIONESTIMADORES ROBUSTOS TIPO RAZÓN EN SIMPLE MUESTREO ALEATORIO UTILIZANDO HUBER M ESTIMACION
(Departamento de Matemática Aplicada. Facultad de Matemática y Computación. Universidad de La Habana, 2023)
Pronóstico de series de tiempo de viento multifractales
(Universidad Michoacana de San Nicolás de Hidalgo, 2022-09)
In this work, the forecast errors produced by the ARIMA, Deep Learning and Persistence models, models applied to two time series to predict the wind speed one step ahead, were analyzed. The analysis consisted of verifying, ...
Avaliação da probabilidade de classificação incorreta em análises discriminantes para duas populações normais
(Universidade Federal de Alfenas, 2017)
Estimating and Forecasting the Term Structure of Interest Rates:US and Colombia Analysis
(Universidad del RosarioMaestría en Finanzas CuantitativasFacultad de Economía, 2016)
In this paper we use the most representative models that exist in the literature on term structure of interest rates. In particular, we explore affine one factor models and polynomial-type approximations such as Nelson and ...
Estimación de estados cuánticos puros y transformaciones unitarias a través del error cuadrático medio = Estimation of pure quantum states and unitary transformations through the mean squared error.
(Universidad de Concepción.Facultad de Ciencias Físicas y Matemáticas, 2022)
En este trabajo se propone un método para estimar un estado cuántico desconocido con alta precisión mediante la minimización del error cuadrático de las amplitudes de probabilidad complejas entre el estado desconocido y ...