Response surface design evaluation and comparison

Designing an experiment to fit a response surface model typically involves selecting among several candidate designs. There are often many competing criteria that could be considered in selecting the design, and practitioners are typically forced to make trade-offs between these objectives when choosing the final design. Traditional alphabetic optimality criteria are often used in evaluating and comparing competing designs. These optimality criteria are single-number summaries for quality properties of the design such as the precision with which the model parameters are estimated or the uncertainty associated with prediction. Other important considerations include the robustness of the design to model misspecification and potential problems arising from spurious or missing data. Several qualitative and quantitative properties of good response surface designs are discussed, and some of their important trade-offs are considered. Graphical methods for evaluating design performance for several important response surface problems are discussed and we show how these techniques can be used to compare competing designs. These graphical methods are generally superior to the simplistic summaries of alphabetic optimality criteria. Several special cases are considered, including robust parameter designs, split-plot designs, mixture experiment designs, and designs for generalized linear models.     

汉语“统计”考

二十世纪初,日本统计学家横山雅男说:“汉语‘统计’一词的含义,与‘合计’、‘总计’相同。”继之,他的学生沈秉诚更说:“我国‘统计’二字流传亦久,惟其义创用之于动词,如‘合计’、‘总计’等字是。”二十世纪三十年代,我国统计学家吴大钧说:“我国统计肇端最早,自三代以迄有清,统计资料散见于历代官书,惟虽有统计之实,向无统计之名”。我国统计史学家卫聚贤说:“按‘统计’二字在我国有共统一起计算之义”,又说:“日人初译此名词为‘政表’、‘综计’、‘国势’,‘政算’等。至明治十四年(公元1881年)统计院成立,此名始确定。中国用‘统计’二字是自日本搬来的。”     

“Who,What, Where,and Why”

The North Carolina Serials Conference was very fortunate to have secured Rachel Frick for its keynote speaker for 2013. The conference was a homecoming for Frick, who is a graduate of the University of North Carolina MSLS program and is currently the Director of the Digital Library Federation Program for the Council on Library and Information Resources (CLIR), a think tank and research organization located in Washington, D.C. The Digital Library Federation (DLF) has been in existence since 1995, its target audiences being digital library practitioners and other interested parties who are on the front-lines of teaching and learning in this specialty. In her address entitled “Who, What, Where, Why, and How,” Frick discussed some of the major initiatives and issues currently occurring within and around librarianship, exploring the effect that these large scale initiatives can, and should, have at the local level. She can be reached at her Twitter feed, @rlfrick.     

A monte carlo evaluation of response surface analysis based on paired-comparison data

The use of the logit transformation on paired-comparison data in the weighted least squares analysis of response surfaces for aesthetic qualities of products is discussed. Monte Carlo simulations are employed to investigate the small sample properties of the estimators and test statistics. A secondary objective of the Monte Carlo simulations is the comparison of two transformation procedures. The simulations are of standard-item paired-compar-ison experiments in which ties are not allowed.     

实事求是是研究统计科学问题的指导思想 ——评苏联《统计理论》及其“社会经济统计学”

我国社会主义四个现代化,是要实现农业现代化、工业现代化、国防现代化和科学技术现代化。由于农业、工业、国防观代化的关键在于科学现代化,因而科学不仅本身要现代化,而且要走在前面,为实现工、农业现代化作出贡献。现代的科学和技术,从自然,社会科学到科学方法技术,种类繁多,发展很快。我国的科学现代化,应该争取在科学之间相互配合、平衡的发展。从当前的社会、     

Description and evaluation of a nested cube experimental design

An incomplete factorial design based on an extension of the Fawiliar 2^kfactorial called a nested cube is proposed for use in response surface investigationso The simplicity and general efficiency of the nested cube suggest its suitability to many areas of research, especially that repeated at many locations orconductea over a long period. Comparisons to potentially competing designs are provided for bias in response estination due to fitting an ioappropriate model and for profiles of variance. merits of the nested cube are (1) a level of relative bias and variance judged to be favorable though not optimal, (2) an ability to utilize a minimum blag estimator not available to competing designs, and (3) a simplicity associated with use of equal spacing

and nearly equal replication on the margin for each factor level.