The MD-based bootstrap method
Support Vector Machine-Based Classification of AD on Bootstrap Method
... The classifier was developed using a specific procedure to parcellate the brain into ROIs. To perform parameter extraction at a regional scale, thus making the method robust to registration imperfections and ...
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Noise Reduction Based on Multilevel DTCWT Using Bootstrap Method
... PROPOSED METHOD The Bootstrap Method: The advantage of using bootstrap method with DTCWT for analyzing the image is, there is no assumption on previous statements about distribution of ...
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Bootstrap Based Surface Reconstruction
... smoothed out, therefore preserving the features and sharp edges. Under the same approach, Sun et al. [95] used normal filtering and vertex position updating. The quality of features preservation are dependant to the ...
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Robust bootstrap procedures for the chain-ladder method
... chain-ladder method, which is a deterministic ...triangles based on past claims ...chain-ladder method, classical bootstrap inference may break ...
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An urn-based Bayesian block bootstrap
... block bootstrap methods, commonly used in the literature (see Davison and Hinkley 1997 ...stationary bootstrap, the blockwise approach, the blocks of blocks method and a model-based ...
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A note on the bootstrap method for testing the existence of finite moments
... S. Resnick , C. St˘ aric˘ a (1998). Tail index estimation for dependent data. Annals of Applied Probability, 8, no. 4, pp. 1156–1183. Summary This paper discusses a bootstrap-based test, which checks if ...
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The Performance of Double Bootstrap Method for Large Sampling Sequence
... double bootstrap method have given a great impact on confidence interval ...double bootstrap. In this paper, the alternative double bootstrap method was hybrid onto an example model and ...
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Applying Bootstrap Robust Regression Method on Data with Outliers
... c Email: [email protected] Abstract Identification and assessment of outliers have a key role in Ordinary Least Squares (OLS) regression analysis. This paper presents a robust two-stage procedure to identify outlying ...
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A note on the bootstrap method for testing the existence of finite moments
... This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cases of possible misapplication. It notes, that a procedure for finding the smallest power to which ...
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On the Application of Bootstrap Method to Stationary Time Series Process
... geometric bootstrap method for stationary time se- ries ...is based on resampling blocks of random length, where the length of each blocks has a truncated geometric distribution and capable of ...
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A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication
... “non-parametric bootstrap” (based on sampling with replacement), the purpose of this short subsection is to explain the relationship with the multiplier bootstrap in Algorithm ...non-parametric ...
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An Evolutionary Bootstrap Method for Selecting Dynamic Trading Strategies
... population based search may ...population based search than the previously mentioned ...the bootstrap bias estimates if the actual forecast is going to be a function of several ...
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Balanced bootstrap resampling method for neural model selection
... the bootstrap method [ 2 ] for neural model selection, since it is more effective than the leave-one-out ...the bootstrap method’s computational load, Lendasse et ...fast bootstrap (FB) ...
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A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression
... A Bootstrap Method for Identifying and Evaluating a Structural Vector Autoregression Graph-theoretic methods of causal search based in the ideas of Pearl (2000), Spirtes, Glymour, and Scheines ...
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Truncated Geometric Bootstrap Method for Time Series Stationary Process
... a bootstrap method called truncated geometric bootstrap method for time series stationary ...The method was able to determine the block sizes b and probability p attached to its random ...
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Measurement uncertainty evaluation in FaroArm-machine using the bootstrap method
... Testing hypothesis using confidence intervals is accomplished by checking whether the theorized population quantity is or is not in a certain confidence interval. If the theorized population value is in the interval, ...
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Bootstrap-based design of residual control charts
... Although the adverse impact of model uncertainty on the run length performance is well documented, only a few studies suggest practical guidelines to tackle this issue. A significant contribution to a robust design for ...
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Bootstrap-Based Variance Estimators for A Bagging Predictor.
... random-pair bootstrap and the residual-based bootstrap methods and the bagging tech- ...rate method (FFSR) and the adaptive least absolute shrinkage and selection operator method ...the ...
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Bootstrap Based Bilateral Smoothing of Point Sets
... Bootstrap Based Bilateral Smoothing of Point Sets Ahmad Ramli, Nor Aziyatul Izni Mohd Rosli and Ioannis Ivrissimtzis Abstract—Boostrap is a statistical method widely used in applications such as ...
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Bootstrap-Based Improvements for Inference with Clustered Errors
... test based on (unadjusted) cluster-robust standard errors over-rejects if standard normal critical values are ...approach based on separate estimation within each ...proposed method does not require ...
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