D- and V-optimal population designs for the quadratic regression model with a random intercept term

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Sparse Sampling D-Optimal Designs in Quadratic Regression With Random Effects

In mixed effect models the variability of the regression parameters has substantial influence on the choice of the optimal design. If less observations per individual are possible than parameters are to be estimated, the optimality results of single-group designs no longer hold.

متن کامل

Bayesian model selection for logistic regression models with random intercept

Data, collected to model risk of an interesting event, often have a multilevel structure as patients are clustered within larger units, e.g. clinical centers. Risk of the event is usually modeled using a logistic regression model, with a random intercept to control for heterogeneity among clusters. Model specification requires to decide which regressors have a non-negligible effect, and hence, ...

متن کامل

Shrinkage simplex-centroid designs for a quadratic mixture model

A simplex-centroid design for q mixture components comprises of all possible subsets of the q components, present in equal proportions. The design does not contain full mixture blends except the overall centroid. In real-life situations, all mixture blends comprise of at least a minimum proportion of each component. Here, we introduce simplex-centroid designs which contain complete blend...

متن کامل

V-optimal designs for heteroscedastic regression

We obtain V-optimal designs, which minimize the average variance of predicted regression responses, over a finite set of possible regressors. We assume a general and possibly heterogeneous variance structure depending on the design points. The variances are either known (or at least reliably estimated) or unknown. For the former case we exhibit optimal static designs; our methods are then modif...

متن کامل

Constrained D-and D 1 -optimal Designs for Polynomial Regression

In the common polynomial regression model of degree m we consider the problem of determining the D-and D 1-optimal designs subject to certain constraints for the D 1-eeciencies in the models of degree m ? j; m ? j + 1; : : : ; m + k (m > j 0; k 0 given). We present a complete solution of these problems, which on the one hand allow a fast computation of the constrained optimal designs and on the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Statistical Planning and Inference

سال: 2011

ISSN: 0378-3758

DOI: 10.1016/j.jspi.2010.08.011