Pages that link to "Item:Q3492678"
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The following pages link to Randomization distributions and saddlepoint approximations in generalized linear models (Q3492678):
Displaying 19 items.
- Saddlepoint \(p\)-values for two-sample bivariate tests (Q254210) (← links)
- Saddlepoint \(p\)-values and confidence intervals for a class of two sample permutation tests for current status and panel count data (Q719043) (← links)
- The weighted log-rank class under truncated binomial design: saddlepoint \(p\)-values and confidence intervals (Q746138) (← links)
- Testing for independence: saddlepoint approximation to associated permutation distributions (Q1951993) (← links)
- Saddlepoint approximations for tests of dispersion (Q2255785) (← links)
- Saddlepoint \(p\)-values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design (Q2354750) (← links)
- Saddlepoint Approximations for Stopped-Sum Distributions (Q2864690) (← links)
- Saddlepoint Approximations to the Density and the Distribution Functions of Linear Combinations of Ratios of Partial Sums (Q2873915) (← links)
- Fast approximation of small p-values in permutation tests by partitioning the permutations (Q3119824) (← links)
- Log-rank permutation tests for trend: saddlepoint<i>p</i>-values and survival rate confidence intervals (Q3636234) (← links)
- Saddlepoint approximations in resampling methods (Q3796534) (← links)
- Applied regression analysis bibliography update 1990-91 (Q4202675) (← links)
- Likelihood and higher‐order approximations to tail areas: A review and annotated bibliography (Q4715844) (← links)
- Bivariate symmetry tests for complete and competing risks data: a saddlepoint approach (Q5106850) (← links)
- Saddlepoint<i>p</i>-values for a class of tests for comparing competing risks with censored data (Q5130295) (← links)
- GAMLSS: A distributional regression approach (Q5142208) (← links)
- Saddle-point p-values and confidence intervals based on log-rank tests when dependent subunits of clustered survival data are randomized by random allocation design (Q6107597) (← links)
- Weighted log-rank tests for left-truncated data: Saddlepoint <i>p</i>-values and confidence intervals (Q6107600) (← links)
- Approximate double-transform inversion when time is one of the variables (Q6589577) (← links)