model confidence
2.Abstract: In this paper,empirical Euclidean likelihood ratio statistics are constructed for parametric components in a partly linear model,and its theory asymptotic confidence regions are constructed for parametric components in a partly linear model.
5.The logistic model in BMDS Version 1.3.1 was used to calculate BMD and the lower limit of BMD 95% confidence range(BMDL).
6.In this paper,We discussed the mean square error MSE( L) or MSE( H) of estimate L or H of parameter β for the linear statistic model (1) — (4) in general condition,and obtained the (1-α)—confidence intervals.
7.Pooled relatie risk (RR) and 95% confidence interal (CI) were calculated using a random-effects model.
8.Univariate non-conditional logistic regression model analysis showed that cigarette smoking was significantly associated with BV.Odds ratio (OR) for smokers was 3.273 (95% confidence interval (CI)1.663~6.442,P=0.001).
9.In this paper the AMSAA model for multi-system simultaneous development is discussed. The maximum likelihood (ML) estimates of the parameters and the confidence intervals of the (MTBF) for Weibull process are presented.
10.Morgan is based on VaR, this model is used to estimate VaR of individual assets and portfolio assets on the base of MTM( market-to-market),VaR is the maximum value loss under certain confidence level.
