Results 31 to 40 of about 139,353 (284)
The bootstrap method is often used for variance estimation in sample surveys with a stratified multistage sampling design. It is typically implemented by producing a set of bootstrap weights that is made available to users and that accounts for the ...
Jean-François Beaumont, Nelson Émond
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Bootstrap, jackknife and Edgeworth approximations for finite population L-statistics
In this paper we give exact bootstrap estimators for the parameters defining one-term Edgeworth expansion of distribution function of finite population L-statistic and compare these estimators with corresponding jackknife estimators. We also compare `````
Andrius Čiginas
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The consistency of bootstrap and jackknife variance estimators for finite population L-statistics
For the linear combinations of order statistics (L-statistics), we present conditions sufficient for the consistency of their finite-population bootstrap variance estimator and the classical jackknife variance estimator.
Andrius Čiginas
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Comparison of randomized branch sampling with and without replacement at the first stage
Randomized Branch Sampling (RBS) is a multistage sampling procedure using natural branching in order to select samples for the estimation of tree characteristics. Usually, sampling units are selected with unequal probabilities.
Cancino, Jorge, Saborowski, Joachim
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On Sampling with and Without Replacement [PDF]
Certain aspects of sampling with or without replacement, with equal or unequal probabilities, are considered here in some details. Some comparisons have been made between the with and without replacement sampling schemes. When we are sampling with replacement the estimate should not depend on the number of times that any particular unit may appear in ...
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On inverse sampling without replacement [PDF]
The inverse sampling (due to Haldane, 1945) was proposed for random sampling with replacement draws when “the numberr of successes in the sample until the process of drawing is stopped” is prefixed. In this paper an extension of that result is proposed when the draws are obtained via random sampling without replacement.
M. Ruiz Espejo +3 more
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Best linear unbiased estimation for varying probability with and without replacement sampling
When sample survey data with complex design (stratification, clustering, unequal selection or inclusion probabilities, and weighting) are used for linear models, estimation of model parameters and their covariance matrices becomes complicated.
Haslett Stephen
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On death processes and urn models [PDF]
We use death processes and embeddings into continuous time in order to analyze several urn models with a diminishing content. In particular we discuss generalizations of the pill's problem, originally introduced by Knuth and McCarthy, and generalizations
Markus Kuba, Alois Panholzer
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A Game-Theoretic Analysis of Baccara Chemin de Fer
Assuming that cards are dealt with replacement from a single deck and that each of Player and Banker sees the total of his own two-card hand but not its composition, baccara is a 2 x 288 matrix game, which was solved by Kemeny and Snell in 1957. Assuming
Stewart N. Ethier, Carlos Gámez
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Objectives The association of joint replacement registries with outcomes such as revision burden is uncertain. This study aimed to evaluate whether joint replacement registries are associated with the burden of revision changes while controlling for ...
Son Nghiem, Charles Ebuka Okafor
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