re-samplingtoestimatethestatistics,andfinallycomparewiththeresultsoftheparametricmethod,bycomparingandanalyzingthedistributioncharacteristicsofthem,suchasmean,varianceandupperalphanumber(α=0.05),wecanfoundthatthecharacteristicsofBootstrapandtheparametermethodareverygood.Secondly,theestablishmentandevaluationoftheself-help...
“自举”(翻译自bootstrap)这个词汇在多个领域可能见到,它字面意思是提着靴子上的带子把自己提起来,这当然是不可能的,在机器学习领域可以理解为原样本自身的数据再抽样得出新的样本及统计量,也有被翻译为自助法的。 Bayesian Bootstrap是一个强大的方法,它比其他的自举法更快,并且可以给出更紧密的置信区间,并避免许...
methodofself-seekingparameterbiasestimationis introduced briefly. Secondly, four methods of self-confidence interval inference are introduced. Finally, the first two methods are used to deal with two methods. Confidence interval estimates for the ...
While bootstrapping is a powerful method, its initial impression of simplicity is misleading. To draw valid conclusions, it’s a good idea to use a package and be aware of considerations that are specific to the analysed data sample. However, if you’re already increasing your awareness of t...
Reliability of groundwater model parameters obtained by inverse analysis has been evaluated by some researchers, and applying bootstrap re-sampling method to groundwater inverse modeling, one of the reliability estimation method, has already been proposed (Masumoto & Valle 2000). However, for many ...
理论基础已经被打好,并且还在蓬勃的发展中,各种相关的方法,以及定理不断涌现,成为统计学发展史上20世纪下半年最为令人心醉的里程碑.英文原意指的是Being or relating to a process that is self-initiating or self-sustaining.Idea 是非常Intuitive的,有了这个Idea之后把统计学的发展大大推进了一步,和计算机的结合...
oversamplingalgorithmbasedontheBootstrapmethodunderthemaximumentropyprinciple.Firstly,the probabilitydistributionofthedatasampleisobtaitedthroughself⁃helpmethodandoptimizedusingthe principleofmaximumentropy.Secondly,aprobabilityenhancementalgorithmbasedonminorityclass sampledistributionisproposedbasedondifferentabilitiesofminor...
3.self-generating or self-sustaining:a bootstrap process. v.t. 4.to help (oneself) without the aid of others. 5.Computers.boot1(def. 15). Idioms: pull oneself up by one's (own) bootstraps,to become a success through one's own efforts. ...
They rely on the bootstrap principle, more precisely on a parametric bootstrap, which is a general Monte Carlo based resampling method that enables us to estimate the sampling distributions of estimators [11]. We focus here on one of the methods, called the iterative bootstrap (Algorithm 9.2)...
Bootstrap is a statistical method for estimating the sampling distribution of an estimator by sampling with replacement from the original sample, most often with the purpose of deriving robust estimates of standard errors and confidence intervals of a population parameter like a mean, median, and cor...