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搜索结果: 1-15 共查到experimental design相关记录21条 . 查询时间(0.125 秒)
This provides an introduction to functional MRI, experimental design and data analysis procedures using statistical parametric mapping approach.
β-Alanine (βA) has been shown to improve performance during cycling. This study was the first to examine the effects of βA supplementation on the onset of blood lactate accumulation (OBLA) during in...
A f ast and s imp le metho d is prop osed th at p ro du ces ap proximate mu ltivariate lo cal D- op timal de signs of h igh e ¢ cienc y f or mo d els with binary re sp ons e. The meth o d as sume s a...
Terrestrial biosphere models (TBMs) have become an integral tool for extrapolating local observations and understanding of land–atmosphere carbon exchange to larger regions.
During the mid-Pliocene warm period (3.264 to 3.025 million years ago), global mean temperature was similar to that predicted for the next century and atmospheric carbon dioxide concentrations were s...
The Palaeoclimate Modelling Intercomparison Project has expanded to include a model intercomparison for the mid-Pliocene warm period (3.29 to 2.97 million yr ago). This project is referred to as PlioM...
This paper deals with the question of how to most effectively conduct experiments in Partially Observed Markov Decision Processes so as to provide data that is most informative about a parameter of in...
The algebraic method provides useful techniques to identify models in designs and to understand aliasing of polynomial models. The present note surveys the topic of Gr¨obner bases in experimental desi...
The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and real exper...
Abstract: The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and ...
Abstract: The problem of optimal data collection to efficiently learn the model parameters of a graphite nitridation experiment is studied in the context of Bayesian analysis using both synthetic and ...
Many statistical experimental designs are too costly or require too much raw material to be feasible for lab-scale fiber spinning experiments. In this study a four-factor response surface design is pr...
This paper presents a Bayesian methodology for computer-aided experimental design of heterogeneous scaffolds for tissue engineering applications. These heterogeneous scaffolds have spatial distributi...
Background and the purpose of the study:Lecithin organogels are formed spontaneously by adding a given amount of water to lecithin/organic solvent mixture. The aim of this research was to develop and ...

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