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D-Optimal Designs for Binary and Weighted Linear Regression Models: One Design Variable
Mathematics, 2023 D-optimality is a well-known concept in experimental design that seeks to select an optimal set of design points to estimate the unknown parameters of a statistical model with a minimum variance.
Necla Gündüz, Bernard Torsney
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Optimal design of injection mold for plastic bonded magnet [PDF]
, 1991 The optimal design of an injection mold for producing a stronger multipole magnet is carried out using the finite element method and the direct search method. It is shown that the maximum flux density in the cavity obtained by the optimal design is about
A. Morii +4 more
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D-optimization based model calibration for air mass flow in engines
Nihon Kikai Gakkai ronbunshu, 2016 The aim of this paper is to explore the model calibration method consisting of the effective design of experiment (DoE) and the model selection for DoE.
Mitsuru TOYODA, Tielong SHEN
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Discrete Mathematics, 1996 Let \(g(n)\) (resp. \(\gamma(n)\)) be the maximum absolute value of the determinant of all \(n\times n\) matrices whose entries are from \(\{1,-1\}\) (resp. \(\{1,-1,i,-i\})\). The following theorems are proved: (1) \(g(2m)\geq 2^m(\gamma(m))^2\), with equality iff there exists a matrix of the form \((\begin{smallmatrix} A & B\\ -B & A\end{smallmatrix})
openaire +2 more sources
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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Pediatric Blood &Cancer, EarlyView.ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Linear-Time FPT Algorithms via Network Flow [PDF]
, 2013 In the area of parameterized complexity, to cope with NP-Hard problems, we introduce a parameter k besides the input size n, and we aim to design algorithms (called FPT algorithms) that run in O(f(k)n^d) time for some function f(k) and constant d. Though
Iwata, Yoichi +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Sparse Polynomial Chaos Expansions via Compressed Sensing and D-optimal Design
, 2017 In the field of uncertainty quantification, sparse polynomial chaos (PC) expansions are commonly used by researchers for a variety of purposes, such as surrogate modeling. Ideas from compressed sensing may be employed to exploit this sparsity in order to
Diaz, Paul +2 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
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