Mathematical Statistics with Resampling and R

By Laura M. Chihara, Tim Hesterberg. 2011

113 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum (2015, methodology): “Theoretical statistics Nolan and Speed (1999) Teaching Statistics Theory Through Applications Nolan and Speed (2000) Stat Labs: Mathematical Statistics Through Applications Reid, Efron, and Morris (2003) Is The Math Stat Course Obsolete? Horton, Brown, and Qian (2004) Use of R as a Toolbox for Mathe”
End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography (2019, methodology): “P values for sensitivity and specificity comparisons were computed using a standard permutation test 52 using 10,000 random resamplings of the data.”
Mere Renovation is Too Little Too Late: We Need to Rethink our Undergraduate Curriculum from the Ground Up (2015, background): “…central (see Lock et al. 2012; Tintle et al. 2014 for just two of the few recent exceptions); current practice often relies on the bootstrap (see Chihara and Hesterberg 2011; Lock et al. 2012 for two of the few contemporary books that make the bootstrap a central idea, and especially, see…”