Results 251 to 260 of about 24,206 (303)

Two new species of <i>Neohelicomyces</i> (<i>Tubeufiaceae</i>, <i>Tubeufiales</i>) from southern China revealed by morphological and multi-locus phylogenetic analyses. [PDF]

MycoKeys
Zhang LJ, Bai S, Ma J, Lu YZ.
europepmc   +1 more source

Morphological and phylogenetic analyses reveal one new genus and six new species in <i>Irpicaceae</i> and <i>Steccherinaceae</i> (<i>Polyporales</i>, <i>Basidiomycota</i>) from the Yunnan-Guizhou Plateau, Asia. [PDF]

IMA Fungus
Deng Y, Chen M, Wang K, Liu W, Chen D, Yang S, Li W, Zhou H, Zhao C.   +8 more
europepmc   +1 more source

Morphological and phylogenetic analyses revealed <i>Cystidichaete alba</i> gen. et sp. nov. (Phanerochaetaceae, Polyporales) from Southwest China. [PDF]

MycoKeys
Zhang X, Chen D, Zhao C.
europepmc   +1 more source

A hybrid artificial neural network-random forest model for enhanced wet bulb temperature prediction in arid urban environments. [PDF]

Sci Rep
Kafy AA, Rafi AH, Alsulamy S, Shohan AAA, Baky AA, Bahiru TK.   +5 more
europepmc   +1 more source

Two new wood-decaying fungi, <i>Resupinatus tropicus</i> and <i>Scopuloides hainanensis</i> (Agaricomycetes, Basidiomycota) from Hainan Province, southern China. [PDF]

MycoKeys
Guan QX, Zhao H, Wu F, Zhang X, Dai YC, Zhu AH.   +5 more
europepmc   +1 more source

Prediction Model of Malignant Risk of Gastrointestinal Stromal Tumor Based on Endoscopic Ultrasonography.

Dig Dis
Lin K, Luo F, Hou J, Huang R, Liu W, Hu S.   +5 more
europepmc   +1 more source

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The bootstrap: To smooth or not to smooth?

Biometrika, 1987
In the statistical bootstrap the sample is resampled with replacement. However, these samples with replacement are not drawn from the unknown distribution F itself but from the empirical distribution function \(F_ n\) of the observed data. Because \(F_ n\) is a discrete distribution, samples constructed from \(F_ n\) in the bootstrap simulations will ...
Bernard W Silverman, G A Young
exaly   +4 more sources

Smooth bootstrap methods for analysis of longitudinal data [PDF]

Statistics in Medicine, 2007
AbstractIn analysis of longitudinal data, the variance matrix of the parameter estimates is usually estimated by the ‘sandwich’ method, in which the variance for each subject is estimated by its residual products. We propose smooth bootstrap methods by perturbing the estimating functions to obtain ‘bootstrapped’ realizations of the parameter estimates ...
Li, Yue, Wang, You-Gan
openaire   +6 more sources