Estimation of missing data
Top PDF Estimation of missing data:
TítuloAsymptotic properties of Local Polynomial regression with missing data and correlated errors
... the estimation of the con- ditional or unconditional mean of the response variable with the completed ...semiparametric estimation (Wang et ...
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TítuloAutomatic classification of respiratory patterns involving missing data imputation techniques
... the data imputation problem. A review of the literature reveals that the efficacy of the proposed methods depends strongly on the problem domain ...number of cases, number of variables, ...
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Archetypal analysis with missing data: see all samples by looking at a few based on extreme profiles
... handling missing or incomplete data in Archetype analysis (AA) and Archetypoid analysis ...combinations of data points, and to approximate the samples as mixtures of those ...archetypal ...
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Estimating the reliability coefficient of tests in presence of missing values
... percentage of missing responses does not exceed ...the missing data mechanism is MCAR (Botella, 2002; Howell, 2008; Enders, 2010), and also with the results obtained in a previous study where ...
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Comparison of Airborne Laser Scanning Methods for Estimating Forest Structure Indicators Based on Lorenz Curves
... complexity of the rela- tion of LA with ALS ...number of advantages in using non-parametric procedures, which can make them preferable depending on each ...method of most similar neighbour ...
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Archetypal shapes based on landmarks and extension to handle missing data
... 3 data, a well- known and simple database that appears as an example of PCA application by Dryden and Mardia ...consists of k = 13 landmarks in m = 2 dimensions from n = 30 individuals (see Dryden ...
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ESTIMATION OF ACOUSTIC FLUCTUATIONS OF RECIPROCAL TRANSMISSION IN LONG-RANGE PROPAGATION AT THE CENTRAL EQUATORIAL PACIFIC
... transmission data, the overall structures of the signal are similar to each ...structure of the overlapped signal passing through the axis of the sound-speed profile at ...difference of ...
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Chapter VIII. Forecasting and estimation from data correlated
... Forecasting is based on the assumption that the past predicts the future as accurately as possible, given all the information available including historical data and knowledge of any future events that ...
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Dialogue and Debate Case Studies Using biblical references - Syllabus Statistics for Economists, 2015 I
... Analysis of the Decline in Japan's Labor Productivity Through an International Comparison by Industry- Strategies for Increasing Productivity in Retail and ...
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STERLING: A framework for serious games to encourage recycling
... costs of sensor systems installed in ...need of a modem-based Internet connection, with the consequent reduction in communication costs and energy needed for its ...definition of the most appropriate ...
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Treatment e ect estimation under data from complex sample surveys.
... measure of individuals for ensure coverage in the eect estimation reected in an ideal sample size given by costs, specic condence level, relative error or power test purpose by practitioners, in this work ...
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TítuloA Novel Automatic Method to Estimate Visual Acuity and Analyze the Retinal Vasculature in Retinal Vein Occlusion Using Swept Source Optical Coherence Tomography Angiography
... study of 33 RVO patients and 33 healthy controls, Kang et ...cohort of 10 RVO patients to compare the single with the averaged 3 × 3 mm images, and concluded that the FAZ area and the VD on the SCP and DCP ...
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Missing sets in rational parametrizations of surfaces of revolution
... surfaces of revolution generated by real rational profile curves, and we describe a simple small superset of the real zone of the surface not covered by the ...case, of the union of a ...
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Quality control and homogenization procedure of the extreme temperature series of Murcia Region
... Statistical parameters (mean, sd, correlation, etc.) Quality control Climatol (daily and monthly) Applications Spatial consistency Temporal consistency Missing data filling Homog[r] ...
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The estimation of truncation error by tau-estimation revisited
... (23) and (24) are solved using second-order spatial schemes. An FD method associated with a second-order accurate central scheme for the computation of the second derivative was conside[r] ...
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TítuloComparative study of imputation algorithms applied to the prediction of student performance
... processing of students’ scores in a specific curriculum have several f laws for various ...absence of data from some of the student scores undermines the efficiency of any future ...
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Una propuesta para el diagnóstico de fallos en sistemas industriales mediante el uso de estrategias bioinspiradas
... process of detection and isolation of a fault ...properties of the system and produce its incapacity to fulfill the intended purpose for which they were designed ...consequences of this ...
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Point spread function reconstruction at NICI adaptive optics system
... loss of the high-frequency portion of the spectrum caused loss of image contrast, as the intensity of sharp objects spreads beyond the angular extent of the object diffraction limited ...
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TítuloSmall area estimation : an application to the estimation of the labour market variables in galician counties
... approximation of the MSE and proposed an estimator based on ...class of models when the variance components are estimated using ML or REML ...order of consis- ...reduction of bias compared ...
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Dynamic panel data : a brief survey of estimation methods
... terms of precision and small sample bias, especially when the autoregressive coefficient is relatively high and the number of periods is small (see Blundell and Bond (1998) and Bond ...advantage of ...
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