3 citations · 4 across the 6 of their papers we have counts for
7 papers
Further properties of frequentist confidence intervals in regression that utilize uncertain prior information
Paul Kabaila, Khageswor Giri
Consider a linear regression model with n-dimensional response vector, regression parameter β= (β_1, ..., β_p) and independent and identically N(0, σ^2) distributed errors. Suppose…
Admissibility of the usual confidence interval in linear regression
Paul Kabaila, Khageswor Giri, Hannes Leeb
Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of…
Computation of confidence intervals in regression utilizing uncertain prior information
Paul Kabaila, Khageswor Giri
We consider a linear regression model with regression parameter beta =(beta_1, ..., beta_p) and independent and identically N(0, sigma^2)distributed errors. Suppose that the parame…
Simultaneous confidence intervals for the population cell means, for two-by-two factorial data, that utilize uncertain prior information
Paul Kabaila, Khageswor Giri
Consider a two-by-two factorial experiment with more than 1 replicate. Suppose that we have uncertain prior information that the two-factor interaction is zero. We describe new sim…
Large-Sample Confidence Intervals for the Treatment Difference in a Two-Period Crossover Trial, Utilizing Prior Information
Paul Kabaila, Khageswor Giri
Consider a two-treatment, two-period crossover trial, with responses that are continuous random variables. We find a large-sample frequentist 1-alpha confidence interval for the tr…
Upper bounds on the minimum coverage probability of confidence intervals in regression after variable selection
Paul Kabaila, Khageswor Giri
We consider a linear regression model, with the parameter of interest a specified linear combination of the regression parameter vector. We suppose that, as a first step, a data-ba…