搜索结果: 1-13 共查到“统计学 E-optimal Designs”相关记录13条 . 查询时间(0.114 秒)
Optimal designs for multiple treatments with unequal variances
Optimal treatment allocation D-optimality D A -optimality Treatment contrast Product design Variance heterogeneity
2016/1/26
The response of a patient in a clinical trial usually depends on both the se-lected treatment and some latent covariates, while its variance varies across the treatment groups. A general heteroscedast...
Optimal Designs for the Proportional Interference Model
Approximate design theory equivalence theorem interference model optimal design proportional mode
2016/1/26
The interference model has been widely used and studied in block experiments where the treatment for a particular plot has effects on its neighbor plots. In this paper, we study optimal circular desig...
Optimal Designs for the Proportional Interference Model
Approximate design theory equivalence theorem interference model optimal design proportional model
2016/1/20
The interference model has been widely used and studied in block experiments where the treatment for a particular plot has effects on its neighbor plots. In this paper, we study optimal circular desig...
A delimitation of the support of optimal designs for Kiefer's $φ_p$-class of criteria
Approximate design optimum design support points design algorithm MSC62K05 90C46
2013/4/28
The paper extends the result of Harman and Pronzato [Stat. & Prob. Lett., 77:90--94, 2007], which corresponds to $p=0$, to all strictly concave criteria in Kiefer's $\phi_p$-class. Let $\xi$ be any de...
An Approximate Approach to E-optimal Designs for Weighted Polynomial Regression by Using Tchebycheff Systems and Orthogonal Polynomials
An Approximate Approach E-optimal Designs Weighted Polynomial Regression Using Tchebycheff Systems Orthogonal Polynomials
2013/4/28
In statistics, experimental designs are methods for making efficient experiments. E-optimal designs are the multisets of experimental conditions which minimize the maximum axis of the confidence ellip...
A note on the de la Garza phenomenon for locally optimal designs
Locally optimal designs saturated designs complete class the-orem moment spaces Chebyshev systems
2011/6/20
The celebrated de la Garza phenomenon states that for a polyno-
mial regression model of degree p−1 any optimal design can be based
on at most p design points. In a remarkable paper, Yang [Ann...
Optimal Designs for Two-Level Factorial Experemients
Generalized linear model full factorial design cylindrical algebraic decomposition D-optimality information matrix uniform design
2010/3/11
We consider the problem of obtaining locally D-optimal designs for factorial exper-
iments with qualitative factors at two levels each with binary response. For the 22
factorial experiment with main...
Strict Monotonicity and Convergence Rate of Titterington's Algorithm for Computing D-optimal Designs
D-optimality experimental design multiplicative algorithm
2010/3/9
We study a class of multiplicative algorithms introduced by Silvey et al. (1978) for com-
puting D-optimal designs. Strict monotonicity is established for a variant considered by
Titterington (1978)...
Asymptotic optimal designs under long-range dependence error structure
asymptotic optimal designs linear regression long-range dependence
2010/3/9
We discuss the optimal design problem in regression models with long-range dependence error
structure. Asymptotic optimal designs are derived and it is demonstrated that these designs
depend only in...
Characterization of Balanced Fractional 2m Factorial Designs of Resolution R*({1}|3) and GA-optimal Designs
association algebra BFF designs estimable parametric functions GA-optimality criterion resolution simple arrays
2009/3/10
In this paper, based on the assumption that the four-factor and higher-order interactions are to be negligible, we consider a balanced fractional 2m factorial design derived from a simple array such t...
Support points of locally optimal designs for nonlinear models with two parameters
Design of experiments optimality binary response count data Poisson model Michaelis–Menten model generalized linear model
2010/3/18
We propose a new approach for identifying the support points
of a locally optimal design when the model is a nonlinear model.
In contrast to the commonly used geometric approach, we use an
approach...
OPTIMAL AND QUASI-OPTIMAL DESIGNS
Optimal designs discriminant designs robust designs mixed designs quasi-optimal designs canonical and pseudo-canonical moments
2009/2/25
Optimal design theory deals with the choice of the allocation of the observations to
accomplish the estimation of some linear combination of the coefficients in a regression
model in an optimal way....
Optimal designs for dose-finding experiments in toxicity studies
dose-finding experiment locally c-optimal design multiple-objective design robustoptimal design Weibull model
2010/3/18
We construct optimal designs for estimating fetal malformation rate, prenatal death rate and
an overall toxicity index in a toxicology study under a broad range of model assumptions. We
use Weibull ...