Results 41 to 50 of about 7,629,903 (299)
A vibrant financial sector has a lot to offer towards the growth and development of an economy. It is in this regard that investor confidence matters most to the sector.
Paul Hammond +2 more
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The current Japanese Ministry of Health Labour and Welfare (MHLW)'s Guideline for Bioequivalence Studies of Generic Products uses averaged dissolution rates for the assessment of dissolution similarity between test and reference formulations.
H. Yoshida +3 more
semanticscholar +1 more source
In this paper, we investigate a partially single-index varying-coefficient model, and suggest two empirical log-likelihood ratio statistics for the unknown parameters in the model.
Xiang Xing, Liu Wanrong
doaj +1 more source
Simultaneous confidence regions for multivariate bioequivalence [PDF]
Demonstrating bioequivalence of several pharmacokinetic (PK) parameters, such asAUCandCmax, that are calculated from the same biological sample measurements is in fact a multivariate problem, even though this is neglected by most practitioners and regulatory bodies, who typically settle for separate univariate analyses.
Philip Pallmann, Thomas Jaki
openaire +4 more sources
Value at Risk (VaR) is used to illustrate the maximum potential loss under a given confidence level, and is just a single indicator to evaluate risk ignoring any information about income.
Wanbing Zhang, Sisi Zhang, Peibiao Zhao
doaj +1 more source
Robust confidence regions for incomplete models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Larry G. Epstein +2 more
openaire +4 more sources
In this paper, we study the estimation problems for the generalized inverted exponential distribution based on progressively type-II censored order statistics and record values.
Ismail Kınacı +2 more
doaj +1 more source
Confidence Region of Singular Subspaces for Low-Rank Matrix Regression
Low-rank matrix regression refers to the instances of recovering a low-rank matrix based on specially designed measurements and the corresponding noisy outcomes.
Dong Xia
semanticscholar +1 more source
Measuring and Controlling Bias for Some Bayesian Inferences and the Relation to Frequentist Criteria
A common concern with Bayesian methodology in scientific contexts is that inferences can be heavily influenced by subjective biases. As presented here, there are two types of bias for some quantity of interest: bias against and bias in favor.
Michael Evans, Yang Guo
doaj +1 more source
Determination of the joint confidence region of the optimal operating conditions in robust design by the bootstrap technique [PDF]
Robust design is widely recognised as a leading method for reducing variability and improving quality. Most of the engineering statistics literature focuses on finding point estimates of the optimum operating conditions for robust design.
Chanseok Park
semanticscholar +1 more source

