Heteroscedastic T-Optimum Designs for Multiresponse Dynamic Models

نویسندگان

  • Dariusz Uciński
  • Barbara Bogacka
چکیده

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Empirical estimates for various correlations in longitudinal-dynamic heteroscedastic hierarchical normal models

In this paper, we first define longitudinal-dynamic heteroscedastic hierarchical  normal  models. These models can be used to fit longitudinal data in which the dependency structure is constructed through a dynamic model rather than observations. We discuss different methods for estimating the hyper-parameters. Then the corresponding estimates for the hyper-parameter that causes the association...

متن کامل

T-optimum design for discrimination between two mul- tiresponse dynamic models

The paper is concerned with a problem of finding an optimum experimental design for discriminating between two rival multiresponse models. The criterion of optimality we use is based on the sum of squares of deviations between the models, and picks up the design points for which the divergence is maximum. An important part of our criterion is an additional vector of experimental conditions, whi...

متن کامل

A geometric characterization of c-optimal designs for heteroscedastic regression

We consider the common nonlinear regression model where the variance as well as the mean is a parametric function of the explanatory variables. The c-optimal design problem is investigated in the case when the parameters of both the mean and the variance function are of interest. A geometric characterization of c-optimal designs in this context is presented, which generalizes the classical resu...

متن کامل

Multiresponse Designs and Surrogate Endpoints in Clinical Trials

Incorporating plausible surrogate variates, a general class of incomplete multiresponse designs for clinical trials is considered. In this context, the basic differences between the conventional linear models and survival analysis models are discussed thoroughly. Along with some parametric and semi-parametric procedures, suitable nonparametric ones are considered, and the related asymptotic the...

متن کامل

Optimal Weighted Bayesian Design Applied to Dose-response-curve Analysis

Designs for nonlinear regression models depend on some prior information about the unknown parameters. There are three primary methods for accounting for this: The locally optimal designs, globally optimal Bayesian designs, and sequential procedures. If prior knowledge about the parameters is available from former experiments, Bayesian designs integrate this information most eeciently. If the e...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2003