Estimation in some binary regression models with prescribed accuracy
From MaRDI portal
Publication:1346658
DOI10.1016/0378-3758(94)00054-YzbMath0811.62076MaRDI QIDQ1346658
Publication date: 9 April 1995
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
uniform integrabilityasymptotic efficiencylast timelogistic regressionstopping rulelinear combinationsbinary regression modelsequential confidence intervalprobit analysisfixed size confidence regions
Related Items
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Sequential estimation in regression models using analogues of trimmed means
- Estimation in the general linear model when the accuracy is specified before data collection
- On the last time and the number of times an estimator is more than \(\epsilon\) from its target value
- Fixed size confidence regions for parameters of a logistic regression model
- A nonlinear renewal theory with applications to sequential analysis. I
- A nonlinear renewal theory with applications to sequential analysis II
- Some One-Sided Theorems on the Tail Distribution of Sample Sums with Applications to the Last Time and Largest Excess of Boundary Crossings
- On the Asymptotic Theory of Fixed-Size Sequential Confidence Bounds for Linear Regression Parameters
- On the Asymptotic Theory of Fixed-Width Sequential Confidence Intervals for the Mean
- Fixed Size Confidence Ellipsoids for Linear Regression Parameters
- On Limiting Distributions for Sums of a Random Number of Independent Random Vectors
- A Two-Sample Test for a Linear Hypothesis Whose Power is Independent of the Variance
