Results 11 to 20 of about 20,921 (290)

D-optimal plans in observational studies [PDF]

open access: yes, 2005
This paper investigates the use of Design of Experiments in observational studies in order to select informative observations and features for classification.
Morik, Katharina   +3 more
core   +5 more sources

ON D-OPTIMAL CHEMICAL BALANCE WEIGHING DESIGNS [PDF]

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2015
The paper deals with the problem of determining the chemical balance weighing designs satisfying the criterion of D-optimality under assumption that the measurement errors are equal correlated and they have the same variances.
Bronisław Ceranka, Małgorzata Graczyk
doaj   +4 more sources

D-optimal and nearly D-optimal exact designs for binary response on the ball

open access: yesStatistical Papers, 2023
AbstractIn this paper the results of Radloff and Schwabe (Stat Papers 60:165–177, 2019) will be extended for a special class of symmetrical intensity functions. This includes binary response models with logit and probit link. To evaluate the position and the weights of the two non-degenerated orbits on thek-dimensional ball usually a system of three ...
Martin Radloff, Rainer Schwabe
openaire   +3 more sources

New Results on D‐Optimal Matrices [PDF]

open access: yesJournal of Combinatorial Designs, 2012
AbstractWe construct a number of new supplementary difference sets (SDS) with v odd and . In particular, these give rise to D‐optimal matrices of the four new orders 206, 242, 262, 482, constructed here for the first time.
Đoković, Dragomir Ž.   +1 more
openaire   +3 more sources

Modified Bayesian D-Optimality for Accelerated Degradation Test Design With Model Uncertainty

open access: yesIEEE Access, 2019
Accelerated degradation test (ADT) has become the main method to assess system reliability. In ADT, Bayesian D-optimality criterion is an effective objective function to deal with the model parameter uncertainty in designing an ADT plan.
Yong Yu   +3 more
doaj   +1 more source

Optimal Designs for Generalized Pareto Model [PDF]

open access: yesInternational Journal of Mathematical, Engineering and Management Sciences, 2019
The generalized Pareto model plays an important role in modelling extreme events. Hosking and Wallis (1987) discussed the parameter and quantile estimation for generalized Pareto distribution.
Poonam Singh, Ashok Kumar
doaj   +1 more source

Optimasi Geometri Jaring GNSS dan RTS untuk Pemantauan Deformasi Kontinu Saluran Induk Kalibawang di Jembatan Talang Bowong, Kabupaten Kulon Progo

open access: yesJournal of Geospatial Information Science and Engineering, 2021
Kegiatan rehabilitasi dan pemeliharaan di Jembatan Talang Bowong membutuhkan pemantauan gerakan massa tanah secara real-time dan kontinu. Penelitian ini berusaha mendesain jaring kontrol pemantauan gerakan massa tanah secara geometrik dengan data ...
Ghea Ayunda Siami   +2 more
doaj   +1 more source

Optimization of SLS Process Parameters Using D-Optimality [PDF]

open access: yes, 2003
Solid Freeform Fabrication (SFF) refers to a group of processes that manufacture parts of arbitrarily complex geometry without tooling. Currently, the operation of most SFF machines requires skilled operators with expertise in choosing process ...
Crawford, Richard H.   +2 more
core   +1 more source

R/D optimal linear prediction [PDF]

open access: yesIEEE Transactions on Speech and Audio Processing, 2000
A common technique to extend linear prediction to nonstationary signals is time segmentation: the signal is split into small portions and the modelization is carried out locally. The accuracy of the analysis is, however, dependent on the window size and on the signal characteristics, so that the problem of finding a good segmentation is crucial to the ...
P. Prandoni, M. Vetterli
openaire   +1 more source

A Review on Optimal Subsampling Method [PDF]

open access: yesBIO Web of Conferences
Optimal subsampling method is an efficient method for massive data because it can not only downsize the data amount but also save computational time. Subsampling methods have been essential to statistical analysis throughout history.
Xu Yuan
doaj   +1 more source

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