نتایج جستجو برای: d optimal design

تعداد نتایج: 1794688  

2008
John A. List Mathis Wagner

Experimental economics represents a strong growth industry. In the past several decades the method has expanded beyond intellectual curiosity, now meriting consideration alongside the other more traditional empirical approaches used in economics. Accompanying this growth is an influx of new experimenters who are in need of straightforward direction to make their designs more powerful. This stud...

Journal: :Quality and Reliability Eng. Int. 2012
Wai Chung Yeong Michael B. C. Khoo Zhang Wu Philippe Castagliola

This paper proposes an economic model for the synthetic chart. The synthetic chart is an integration of the X chart and the CRL chart. A simplified algorithm to obtain the optimal parameters of the synthetic chart which minimizes the expected cost function is introduced. Numerical examples based on different values of input parameters are given, and sensitivity analyses of the parameters are pe...

2012
P. M. van de Ven

Finding optimal designs for experiments for non-linear models and dependent data is a challenging task. We show how the problem simplifies when the search is restricted to designs that are minimally supported; that is, the number of distinct runs (treatments) is equal to the number of unknown parameters, p, in the model. Under this restriction, the problem of finding a locally or pseudo-Bayesia...

Journal: :TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 1994

Journal: :Electr. J. Comb. 2013
M. R. Faghihi Ebrahim Ghorbani Gholamreza B. Khosrovshahi S. Tat

Let Dv,b,k denote the family of all connected block designs with v treatments and b blocks of size k. Let d ∈ Dv,b,k. The replication of a treatment is the number of times it appears in the blocks of d. The matrix C(d) = R(d) − 1 kN(d)N(d) > is called the information matrix of d where N(d) is the incidence matrix of d and R(d) is a diagonal matrix of the replications. Since d is connected, C(d)...

Journal: :Journal of Economic Theory 2019

Journal: :Nature Methods 2018

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