Results 71 to 80 of about 967 (90)

Jackknife, Bootstrap and Other Resampling Methods in Regression Analysis

Annals of Statistics, 1986
Statistical inference based on data resampling has been mostly based on the assumption of independence and identical distribution, the i.i.d. case. The author maintains that resampling methods justifiable in the i.i.d. case may not work in more complex situations. These methods are studied in the context of regression models.
C F J Wu
exaly   +4 more sources

Jackknife resampling parameter estimation method for weighted total least squares

Communications in Statistics - Theory and Methods, 2020
Leyang Wang
exaly  

Jackknife based generalized resampling reliability approach for rock slopes and tunnels stability analyses with limited data: Theory and applications

Journal of Rock Mechanics and Geotechnical Engineering, 2022
, Gaurav Tiwari
exaly  

Accelerating Jackknife Resampling for the Canonical Polyadic Decomposition

Frontiers in Applied Mathematics and Statistics, 2022
Christos Psarras, Paolo Bientinesi, Rasmus Bro   +2 more
exaly  

New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes

Computers and Electronics in Agriculture, 2020
Rodrigues P C, Sérgio Arciniegas-Alarcón, Marisol Garcia-Penã   +2 more
exaly  

Confidence limits for air quality model evaluations, as estimated by bootstrap and jackknife resampling methods

Atmospheric Environment, 1989
Steven Hanna
exaly  

An ensemble method for reconstructing gene regulatory network with jackknife resampling and arithmetic mean fusion

International Journal of Data Mining and Bioinformatics, 2015
Shao-Wu Zhang
exaly  

Bootstrap Methods: Another Look at the Jackknife

Annals of Statistics, 1979
B Efron
exaly  

The jackknife: a resampling method with connections to the bootstrap

Wiley Interdisciplinary Reviews: Computational Statistics, 2012
exaly