bootstrap method
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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On the Application of Bootstrap Method to Stationary Time Series Process
... This article introduces a resampling procedure called the truncated geometric bootstrap method for stationary time se- ries process. This procedure is based on resampling blocks of random length, where the ...
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Estimating the New Keynesian Model by Bootstrap Method for Johor Economy Tourism
... hybridize bootstrap approach with Keynesian Model to obtain accu- rate estimation results which are known as the Bootstrap Keynesian Model ...the Bootstrap Keynesian Model is the best model compared ...
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Noise Reduction Based on Multilevel DTCWT Using Bootstrap Method
... Abstract- The main aim of this project is to reduce a noise introduced by new method which is known as bootstrap method. Image enhancement technique is clearly based on the random spray sampling ...
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The Implementation of Double Bootstrap Method in Structural Equation Modeling
... As well as the bias values, bias values de- cline when double bootstrap method was ap- plied onto the traditional SEM. As when n = 75, bias value for Double BOOT SEM is 0.093188, compared to the BOOT SEM ...
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Truncated Geometric Bootstrap Method for Time Series Stationary Process
... the bootstrap may be found in the work of ...the bootstrap that are applicable to weakly dependent sta- tionary ...stationary bootstrap method generated by resampling blocks of random size, ...
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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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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 ...the bootstrap ...
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Probabilistic evaluation of the final moisture content of kiln-dried lumber using the bootstrap method
... the bootstrap method (‘‘bootstrap SD’’), and the histograms of bootstrap SD were depicted for each drying test in ...the bootstrap SD for drying test 1 ranged from ...
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A note on the bootstrap method for testing the existence of finite moments
... In this section two Monte-Carlo examples are presented to illustrate the perfor- mance of the test in case of distributions with infinitely large number of moments, and no finite positive moments at all. This Monte-Carlo ...
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Support Vector Machine-Based Classification of AD on Bootstrap Method
... The main approach is based on the use of structural images of magnetic imaging, mild cognitive impairments and AD patients to distinguish the normal controls between their phase images. Independent Component Analysis ...
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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 observations ...
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Confidence Intervals in QTL Mapping by Bootstrapping
... In practice, one could use both resampling methods: first, the permutation method to test for a significant QTL effect, and given significance, then the bootstrap method[r] ...
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Confidence intervals construction for difference of two means with incomplete correlated data
... tion of x is unknown, the asymptotic distributions of the constructed test statistics may not be reliable, especially with small sample size. On the other hand, estimators of some nuisance parameters have not the ...
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On the folded normal distribution
... Abstract: The characteristic function of the folded normal distribution and its moment function are derived. The entropy of the folded normal distribution and the Kullback–Leibler from the normal and half normal ...
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Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach
... proposed bootstrap ap- proach is that, by resampling the systematic data set to fill the gaps in the historical time period, the shape of the flood frequency curve is influenced in the domain corresponding to ...
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The Prediction of Non Life Claim Reserves under Inflation—An Analysis including Diagonal Effects
... The extraction of various reserves is one of the most important measures that guarantee insur- ance companies’ solvency. Accurate assessment of non-life insurance claim reserves needs to con- sider the volatility risks ...
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A Methodology for Statistical Behavioral Fault Modeling
... The Bootstrap method is a well- established robust statistical ...Although Bootstrap has been widely employed in the social sciences [8] and signal processing [9], there are few reports of applying ...
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Parametric Bootstrap Analysis of Gini Index in Gamma Distribution
... The Gini index is commonly used in the analysis of income distribution, and it is determined that the Gamma distribution, in many situations fits family income better than the other statistical distribution. However, ...
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Bootstrap Approximation to Prediction MSE for State Space Models with Estimated Parameters
... nonparametric bootstrap methods for estimating the prediction mean square error (PMSE) of state vector predictors that use estimated model ...parametric method consists of generating parametrically a large ...
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