Pages that link to "Item:Q1916170"
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The following pages link to On the unconditional strong law of large numbers for the bootstrap mean (Q1916170):
Displaying 20 items.
- A central limit theorem for bootstrap sample sums from non-i.i.d. models (Q338405) (← links)
- Necessary conditions for the bootstrap of the mean (Q1120210) (← links)
- Strong consistencies of the bootstrap moments (Q1187086) (← links)
- On the law of large numbers for the bootstrap mean (Q1198986) (← links)
- On the limiting behavior of randomly weighted partial sums (Q1305229) (← links)
- On the strong law for arrays and for the bootstrap mean and variance (Q1363354) (← links)
- A survey of limit laws for bootstrapped sums (Q1415136) (← links)
- Large and moderate deviation principles for the bootstrap sample quantile (Q1674048) (← links)
- Asymptotic stability of the bootstrap sample mean. (Q1766048) (← links)
- Unconditional Glivenko-Cantelli-type theorems and weak laws of large numbers for bootstrap (Q1916161) (← links)
- Another look at bootstrapping the Student \(t\)-statistic (Q2261926) (← links)
- Asymptotic probability for the bootstrapped means deviations from the sample mean (Q2566720) (← links)
- A large deviation principle for bootstrapped sample means (Q2782646) (← links)
- Complete moment convergence for <i>m</i>-ANA random variables and statistical applications (Q3390485) (← links)
- Almost Sure lim sup Behavior of Dependent Bootstrap Means (Q3423720) (← links)
- Generic Consistency for Approximate Stochastic Programming and Statistical Problems (Q4620421) (← links)
- Complete convergence of bootstrapped means and moments of the supremum of normed bootstrapped sums (Q4702155) (← links)
- General Weak Laws of Large Numbers for Bootstrap Sample Means (Q5312737) (← links)
- Almost sure lim sup behavior of bootstrapped means with applications to pairwise i. i. d. sequences and stationary ergodic sequences (Q5950617) (← links)
- Strong uniform laws of large numbers for bootstrap means and other randomly weighted sums (Q6580271) (← links)
