Play-the-winner rule and adaptive designs of clinical trials.
Properties of a covariance matrix with an application to -optimal design.
Rank Tests for the 2 X 2 Split Pilot Design.
Recent Advances on Some Aspects of Stratified Sample Design. A Review of the Literature.
Recherche de plans d'expérience adaptés à des hypothèses a priori dans certains cas particuliers
Régression trigonométrique et plans d'échantillonnage pour expériences simulées
Relations between optimum chemical balance weighing designs for v and v+1 objects
Relations between regular A-optimal chemical and spring balance weighing designs with diagonal covariance matrix of errors
In this paper, we study the relationships between regular A-optimal spring balance weighing designs and regular A-optimal chemical balance weighing designs. We give the basic relation between these designs in the case where the errors are uncorrelated and they have different variances. We give some examples of methods of construction of such designs.
Restricted estimation in unbalanced factorial models: an APL programs package.
This paper describes a set of programs that provide researchers with restricted effect estimations in unbalanced factorial models when several weighing systems are imposed upon those models. The main program performing such an analysis is known as REUFM, and is written in APL⊗PLUS for IBM/PC microcomputers. An example is given in order to ilustrate the programs.
Robust experimental design. A comment on Huber's result
Robustness optimal spring balance weighing designs for estimation total weight
In this paper we develop the theory of spring balance weighing designs with non-positive correlated errors for that the lower bound of the variance of estimated total weight is attained.
Robustness to the Unavailability of Data in Block Designs.
Screening Properties of Certain Two-Level Designs.
Second-order approximation of the entropy in nonlinear least-squares estimation
Selection in parametric models via some stepdown procedures
The paper considers the problem of consistent variable selection in parametic models with the use of stepdown multiple hypothesis procedures. Our approach completes the results of Bunea et al. [J. Statist. Plann. Inference 136 (2006)]. A simulation study supports the results obtained.
Sequential and iterative designs of experiments
Sequential estimation method for the minimum of a quadratic regression function
Sequential identification algorithm and controller choice for a certain class of distributed systems
Sign and Wilcoxon tests for quadratic versus cubic regression.
In this paper sign and Wilcoxon tests for testing the null hypothesis of quadratic regression versus the alternative, cubic regression are proposed. It is shown that in the case of a simple design consisting of multiple Y observations at each of the four levels of x, the proposed tests perform reasonably well as compared to their parametric competitors, while in the case of a general design consisting of a large number of levels of x, the loss in Pitman efficiency is considerable. However their...
Some basic results on search linear models with nuisance parameters