Results 231 to 240 of about 74,338 (357)
A Local Central Limit Theorem and Loss of Rotational Symmetry of Planar Simple Random Walk
, 2013 Christian Beneš
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Limit Theorems for Branching Processes in a Random Environment [PDF]
, 1977 David Tanny
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Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
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Variances and covariances in the Central Limit Theorem for the output of a transducer.
Eur J Comb, 2015 Heuberger C, Kropf S, Wagner S.
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Decoding the Star-Forming Main Sequence or: How I Learned to Stop Worrying and Love the Central Limit Theorem [PDF]
, 2014 Daniel D. Kelson
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Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
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A REMARK ON THE CENTRAL LIMIT THEOREM [PDF]
Proceedings of the National Academy of Sciences, 1965 openaire +3 more sources
A Note on the Central Limit Theorem for the Eigenvalue Counting Function of Wigner Matrices
, 2011 Sandrine Dallaporta, Ba Van Vu
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Jackknife bias‐corrected variance estimation for the generalized regression estimator
Canadian Journal of Statistics, EarlyView.Abstract Commonly used variance estimators for the generalized regression estimator (GREG) are based on Taylor linearization and jackknife. Traditionally, a jackknife GREG variance estimator is obtained by jackknifing GREG, which consists of computing GREG from each of several subsamples of the parent sample, and estimating the variance of the parent ...
Marius Stefan, J.N.K Rao
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