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講座題目： Design and analysis of experiments

                            -----From traditional experiments to modern high tech

報告人：    艾明要教授，北京大學(xué)kaiyun開云官方網(wǎng)站統(tǒng)計系

主持人：    鄭海濤教授
    講座時間：  2013年11月1日上午10:30am

講座地點：  九里校區(qū)電氣館3215

內(nèi)容簡介： Design and analysis of experiments is an indispensable tool for experimenters and one of the core topics of Statistics. In this talk, we first briefly review main design and modeling methods applied in agricultural and industrial experiments, and then shift to computer experiments popular in high tech fields. The significant difference of computer experiments from the traditional experiments is discussed and the related design and modeling of these experiments is also investigated. Some general frameworks are proposed for constructing nested and sliced space-filling designs in computer experiments for more flexible parameters in which the whole design and each slice not only achieve maximum stratification in univariate margins, but also achieve stratification in two- or more-dimensional margins. Compared with other designs, the new constructed designs have better space-filling property.

主講人簡介：

      艾明要，教授、博士生導(dǎo)師，博士畢業(yè)于南開大學(xué)，現(xiàn)任北京大學(xué)數(shù)學(xué)科學(xué)學(xué)院統(tǒng)計學(xué)教研室主任,兼任中國數(shù)學(xué)會概率統(tǒng)計學(xué)會副秘書長，中國現(xiàn)場統(tǒng)計研究會理事、副秘書長，中國現(xiàn)場統(tǒng)計研究會試驗設(shè)計專業(yè)委員會副主任，國際統(tǒng)計雜志《Journal of Statistical Planning and Inference》和《STAT》編委。在Ann. Statist.、JASA、Biometrika、Statist. Sinica、Canad. J. Statist.、JSPI等國內(nèi)外頂尖期刊發(fā)表學(xué)術(shù)論文四十余篇。主持完成國家自然科學(xué)基金項目兩項，參與完成國家科技部973課題一項。目前主持2013-2016年度國家自然科學(xué)基金面上項目一項，參與2014-2018年度國家自然科學(xué)基金重點項目一項。

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