摘要:

Statistics is one of the few academic fields that continued to expand rapidly in the 1970's. We present data on growth in Ph.D. production, faculty size, and number of journals. Statistics is not a branch of mathematics but has both scientific and mathematical components. We examine federal support in light of the special characteristics of statistical research and the continuing growth of the field. Although the data are not completely adequate, it is clear that support of academic basic research in statistics does not reflect the increased prominence of statistics among the mathematical sciences. We make specific suggestions for fruitful use of increased resources for research.

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482862

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

Product quality has high visibility in today's economic environment. It is now widely acknowledged that most quality problems are “management” or “systems” problems requiring “statistics” in their solution. This article explores the respective roles of

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482863

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

There is a long history of cooperation between statisticians in industry and academia in the United States. This cooperation has received increased interest with the decreasing growth of student populations, reduced federal funding for academic research, and increased awareness of the importance of practical problems in the development of statistics. The various methods of interaction and cooperation at local levels and through professional societies are reviewed. We point out that fruitful cooperation begins with academic and industry statisticians getting to know each other and understanding each other's needs and objectives. Both parties have a responsibility to initiate such discussions. Industry must communicate who they are and what they do and suggest ways that universities can help. Universities can stimulate interaction by suggesting how industry can aid the educational process, by offering degree programs and short courses for industry, and by encouraging companies to use statistics in areas where they have not already been used. No single approach will work in all situations. Each program should be tailored to the needs of the organizations involved. Cooperative programs work best when both the university and company can gain clear benefits. Statisticians must recognize that computer science and some fields of engineering are experiencing many of the same pressures as statistics and that companies will view statistics as being in competition with these fields when developing and funding cooperative programs.

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482864

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

The terms “split plot” and “repeated measures” are used by many authors throughout the statistical literature. However, the former is not used in a consistent manner, since many authors use this term in reference to inherently different experimental situations, each requiring a different analysis. Conversely, quite often inherently different experiments share a common analysis, as is the case with some types of split-plot and repeated measures experiments. Four distinct analyses are employed by various authors when describing split plot and repeated measures experiments in the classic literature. Four linear models, accounting for the four analyses, are stated in this article. Detailed examples are given that illustrate the relationships between experimental setup, model specification, and subsequent analysis.

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482865

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482866

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482867

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482868

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

A mosaic is a graphical display of cross-classified data in which each count is represented by a rectangle of area proportional to the count. The positions and sides of the rectangles are set to encourage comparisons between counts in the figures. Mosaics are useful for discovering unusually high or small counts and for discovering dependencies between variables. In principle, mosaics may be used for any number of cross-classifying variables, but six seems to be a practical maximum. A mosaic is given for a four-way classification of Nielsen ratings.

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482869

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482870

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor

摘要:

This article draws together some common geometrical ideas and their statistical and probabilistic analogs and outlines them for teaching elementary statistical ideas to students inside and outside the mathematical sciences. The main benefit from this approach is an appreciation of the surprising power of a small number of underlying principles. The approach emphasizes the equivalence of the notions, expressed in different “languages,” rather than any one expression by itself.

ISSN:0003-1305    

DOI:10.1080/00031305.1984.10482871

出版商:Taylor & Francis Group    

年代:1984

数据来源: Taylor