Department of Statistics, Texas A& M University, College Station, TX, 77843Taylor And FrancisJournal of the American Statistical AssociationR. Maitra, V. Melnykov, and S. Lahiri, "Bootstrapping for significance of compact clusters in multi-dimensional datasets," Journal of the American Statistical...
In statistics, bootstrapping is a general purpose parameter estimation approach falling within a broader class of resampling methods [1]. Bootstrapping allows one to assess whether the data distribution has been influenced by stochastic effects. Non-parametric bootstrapping proceeds by generating pseudo...
Bootstrap Intervals Parametric Confidence Intervals A Better Estimate of Bias Bootstrap Tests of Significance Balanced Bootstrap Sampling Applications of Bootstrapping in Biology Single Species Ecology Genetics, Evolution and Natural Selection ... B Manley 被引量: 3418发表: 1997年 Bayes or bootstrap?
We present an example that emphasizes the use of both confidence interval estimation and significance testing. The example is particularly pertinent because it represents a more complex problem than has generally been discussed by critics of... RF Woolson,JC Kleinman - 《Annual Review of Public He...
The examples below demonstrate how to use these functions in practice. How to test the significance of a mediation effect (datasciencetut.com) Bootstrapping a Single Statistic The code below demonstrates how to compute the standard error for the R-squared of a simple linear regression model: se...
Sign in to download full-size image Figure 3.Nine possible situations that can arise concerning the significance (or otherwise) of cost and effect differences illustrated on the CE plane. Boxes indicate the area bounded by the individual confidence limites on cost and effect: statistically significan...
the course of diversification, relative to a second trait; significance is determined by bootstrapping from maximum-likelihood ancestral state reconstructions. ... DD Ackerly,DW Schwilk,CO Webb - 《Ecology》 被引量: 1470发表: 2006年 Comparing smoothing techniques in Cox models for exposure–respons...
According to simulation results, the R-squared-bootstrapping method performs excellently in detecting Gegenbauer-type processes (e.g. with long memory behavior associated with frequencies $$f\in (0,0.5]$$ f 鈭( 0 , 0.5 ] ) while at the same time controlling observed significance levels. ...
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Significance testingand confidence intervals[显着性检验和置信区间](PPT-48) 置信区间 Profile Likelihood Confidence Intervals for GLM's:轮廓似然置信区间的GLM与#的39; 《置信区间》课件 [7]置信区间 Confidence Interval Estimation[置信区间估计](PPT-70) Confidence Interval Review - Department of Statistics置...