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Error estimation using the bootstrap method

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication

A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication

... a bootstrap method for directly estimating the accuracy as a function of the reduced dimension (as opposed to deriving worst-case bounds on the accuracy in terms of the reduced ...proposed method ...

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Using a bootstrap method to choose the sample fraction in tail index estimation

Using a bootstrap method to choose the sample fraction in tail index estimation

... to the bias. The method also works well for the two stochastic processes. The estimates for the second order parameter  are less precise than those for the rst order parameter (after rescaling the standard ...

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Out of bootstrap estimation of generalization error curves in bagging ensembles

Out of bootstrap estimation of generalization error curves in bagging ensembles

... classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble ...These error curves are parametrized in terms of the probability that a given ...

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Bootstrap Specification Tests with Dependent Observations and Parameter Estimation Error

Bootstrap Specification Tests with Dependent Observations and Parameter Estimation Error

... parameter estimation error does not enter the limiting distribution of the test statistic; and Inoue (1999) who studies di®erent conditional features, such as conditional symmetry and conditional ...

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Estimation of INAR(p) models using bootstrap

Estimation of INAR(p) models using bootstrap

... the error terms are Poisson, in order to investigate over and under-dispersion cases, we have to assume that the error terms follow different integer ...the error term is not known, it is not ...

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On the error estimation of multi-spacecraft timing method

On the error estimation of multi-spacecraft timing method

... timing method. The error amplification effect, therefore, suggests that the uncertainties of the timing method may be large not only in the cases when the Cluster tetrahedron is greatly elongated or ...

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Recovery based error estimation for the Method of Moments

Recovery based error estimation for the Method of Moments

... solution error due to the discretisation ...solution error [3]. It should however be apparent that the error can only be minimised, and never completely ...solution error is still desir- able, ...

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Velocity estimation error reduction in stenosis areas using a correlation correction method

Velocity estimation error reduction in stenosis areas using a correlation correction method

... correlation-correction method. B. Signal Processing 1) Correlation Based Velocity Estimation: The principle of velocity estimation basically relies on displacement compu- tation with two same-size ...

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A Fast Soft Bit Error Rate Estimation Method

A Fast Soft Bit Error Rate Estimation Method

... a method to estimate the Bit Error Rate (BER) of a digital communications system instead of using the famous Monte Carlo (MC) ...This method was based on the estimation of the ...

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Error Estimation and Assessment of an Approximation in a Wavelet Collocation Method

Error Estimation and Assessment of an Approximation in a Wavelet Collocation Method

... collocation method which minimizes the sum of squares of ...the error sum of squares of an ...the error sum of squares and a criterion to assess the ...

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Statistical Issues in Predictive Modelling using Bootstrap Method

Statistical Issues in Predictive Modelling using Bootstrap Method

... [email protected] 3 Abstract. A model is a statement of reality or its approximation. Most phenomena in the social sciences are extremely complex. With a model we simplify the reality and focus on a manageable number ...

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Confidence interval of lifetime distribution using bootstrap method

Confidence interval of lifetime distribution using bootstrap method

... Lifetime estimation is significant in engineering asset ...used method for lifetime estimation, the conventional confidence interval construction methods do not perform ...adopts bootstrap ...

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A. Bootstrap and Jackknife Variance Estimation

A. Bootstrap and Jackknife Variance Estimation

... new method for the estimation of imputation uncertainty, which can be implemented as part of any imputation method, and which can be used to estimate the accuracy of the imputed values generated by ...

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The Bootstrap Estimation In Time Series

The Bootstrap Estimation In Time Series

... popular bootstrap method with fixed block length, is circular block bootstrap, also known as ...construct bootstrap procedure, these not-included observations are deleted by ...

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Practical Aspects of the Equation-Error Method for Aircraft Parameter Estimation

Practical Aspects of the Equation-Error Method for Aircraft Parameter Estimation

... A related practical issue occurs when the flight condition drifts slightly from the beginning to the end of the maneuver. This affects longitudinal cases where the short-period approximation is being used for the data ...

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The Estimation Error in the Chain-Ladder Reserving Method: A Bayesian Approach

The Estimation Error in the Chain-Ladder Reserving Method: A Bayesian Approach

... ladder method on the basis of a time-series’ model and suggest a new formula for the estimation error, which differs from the formula in the original paper [2] of ...

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A bias-variance trade-off in the prediction error estimation behavior in bootstrap methods for microarray leukemia classification

A bias-variance trade-off in the prediction error estimation behavior in bootstrap methods for microarray leukemia classification

... the error estimate rates by four bootstrap methods in the three selected classifier ...prediction error in a well-known leukemia data, we conclude that the behavior of ...

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Noise Reduction Based on Multilevel DTCWT Using Bootstrap Method

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 ...

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Measurement uncertainty evaluation in FaroArm-machine using the bootstrap method

Measurement uncertainty evaluation in FaroArm-machine using the bootstrap method

... of bootstrap method for uncertainty evaluation. Bootstrap method is a collection of sample re-use techniques designed to estimate standard errors and confidence ...uncertainty using ...

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Bootstrap Estimation of the Predictive Distributions of Reserves Using Paid and Incurred Claims

Bootstrap Estimation of the Predictive Distributions of Reserves Using Paid and Incurred Claims

... this method cannot be simply extended to the MCL method, since this model is designed for dealing with two sets of correlated data, the paid and incurred ...normal bootstrap approach: the ...

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