Results 61 to 70 of about 768,227 (181)
Rancangan D-Optimal Model Gompertz dengan Maple
Media Statistika, 2017 Gompertz model is used in many areas including biological growth studies, animal and husbandry, chemistry, and agricultural. Locally D-optimal designs for Gompertz models with three parameters is investigated.
Tatik Widiharih, Budi Warsito
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Optimal designs for multivariable spline models [PDF]
, 2009 In this paper, we investigate optimal designs for multivariate additive spline regressionmodels. We assume that the knot locations are unknown, so must be estimated from thedata.
David C. Woods +5 more
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Optimal designs for free knot least squares splines [PDF]
In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of the literature on optimal design for spline regression models it is assumed that the knots of the spline are also estimated from the ...
Dette, Holger +2 more
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$T$-optimal discriminating designs for Fourier regression models [PDF]
, 2015 In this paper we consider the problem of constructing $T$-optimal discriminating designs for Fourier regression models. We provide explicit solutions of the optimal design problem for discriminating between two Fourier regression models, which differ by ...
Dette, Holger +2 more
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Extensions of D-optimal Minimal Designs for Symmetric Mixture Models. [PDF]
, 2017 The purpose of mixture experiments is to explore the optimum blends of mixture components, which will provide desirable response characteristics in finished products.
Chervoneva, Inna +2 more
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On the number of D-optimal designs
Journal of Combinatorial Theory, Series A, 1994 The main result of the paper is the theorem: For \(n=18\), there are precisely three essentially different matrices with elements \(\pm 1\) having the maximum determinant. Only one of these is of the circulant type, but all are of the skew type. This means that there are three \(D\)-optimal designs for \(n=18\).
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D-optimally Lack-of-Fit-Test-efficient Designs and Related Simple Designs
Austrian Journal of Statistics, 2016 In practice it is often more popular to use a uniform than an optimal design for estimating the unknown parameters of a linear regression model. The reason is that the model can be checked by a uniform design but it cannot be checked by an optimal design
Wolfgang Bischoff
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RANCANGAN D-OPTIMAL MODEL MICHAELIS MENTEN DAN EMAX DENGAN MATLAB
Media Statistika, 2015 Michaelis Menten and Emax models are widely used in chemistry, pharmacokinetics and pharmacodynamics areas. D-optimal criteria is criteria with the purpuse to minimize the variance of the estimator of parameters in the model. In this paper will discuss
Tatik Widiharih +3 more
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Recent developments in D-optimal designs
Communications in Statistics - Theory and Methods, 2018 In the paper, some issues concerned with the determining spring balance weighing designs satisfying the criterion of D-optimality under the assumption measurement errors are uncorrelated and they have the same variances are discussed. In addition, highly D-efficient spring balance weighing designs are also considered.
B. Ceranka, M. Graczyk
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Exact optimal designs for weighted least squares analysis with correlated errors [PDF]
In the common linear and quadratic regression model with an autoregressive error structure exact D-optimal designs for weighted least squares analysis are determined.
Dette, Holger, Kunert, Joachim
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