Approximations to expected stopping times with applications to sequential estimation
From MaRDI portal
Publication:4944013
DOI10.1080/07474949908836430zbMath1159.62322OpenAlexW1548648928MaRDI QIDQ4944013
Alexei Dmitrienko, A. A. Veksler
Publication date: 25 July 2000
Published in: Sequential Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/07474949908836430
Stopping times; optimal stopping problems; gambling theory (60G40) Sequential estimation (62L12) Renewal theory (60K05)
Related Items (2)
Approximations to generalized renewal measures ⋮ Sequential confidence regions for maximum likelihood estimates.
Cites Work
- Unnamed Item
- Nonlinear renewal theory for conditional random walks
- Sequential sampling based on the observed Fisher information to guarantee the accuracy of the maximum likelihood estimator
- Fixed accuracy estimation of an autoregressive parameter
- Second order approximation to the risk of a sequential procedure
- Sequential analysis. Tests and confidence intervals
- A nonlinear renewal theory
- On fixed-width confidence intervals associated with maximum likelihood estimation
- Sequential maximum likelihood estimation with applications to logistic regression in case-control studies
- The performance of a sequential procedure for the estimation of the mean
- Bounded regret of a sequential procedure for estimation of the mean
- Second order approximations for sequential point and interval estimation
- A nonlinear renewal theory with applications to sequential analysis. I
- A nonlinear renewal theory with applications to sequential analysis II
- Moments of randomly stopped \(U\)-statistics
- Asymptotic expansions for the moments of a randomly stopped average
- On the nonlinear renewal theorem
- Sequential estimation of the autoregressive parameter in a first order autoregressive process
- Sequential point estimation of the mean when the distribution is unspecified
- On uniform integrability and asymptotically risk-efficient sequential estimation
- On the Asymptotic Theory of Fixed-Width Sequential Confidence Intervals for the Mean
- On the Asymptotic Efficiency of a Sequential Procedure for Estimating the Mean
- On the Cost of not Knowing the Variance when Making a Fixed-Width Confidence Interval for the Mean
- AN EXAMPLE IN THE THEORY OF THE SPECTRUM OF A FUNCTION
This page was built for publication: Approximations to expected stopping times with applications to sequential estimation