Statistics for experimenters. An introduction to design, data analysis, and model building.
- Journal
- CERN Document Server (European Organization for Nuclear Research)
In The Last Decade
doi.org/w5229890 →Countries where authors are citing Statistics for experimenters. An introduction to design, data analysis, and model building.
This map shows the geographic impact of Statistics for experimenters. An introduction to design, data analysis, and model building.. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Statistics for experimenters. An introduction to design, data analysis, and model building. with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Statistics for experimenters. An introduction to design, data analysis, and model building. more than expected).
Fields of papers citing Statistics for experimenters. An introduction to design, data analysis, and model building.
This network shows the impact of Statistics for experimenters. An introduction to design, data analysis, and model building.. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Statistics for experimenters. An introduction to design, data analysis, and model building..
About Statistics for experimenters. An introduction to design, data analysis, and model building.
This paper, published in 1978, received 3.3k indexed citations . Written by George E. P. Box, William G. Hunter and J. Stuart Hunter covering the research area of Management Science and Operations Research. It is primarily cited by scholars working on Biomedical Engineering (451 citations), Molecular Biology (423 citations) and Mechanical Engineering (328 citations). Published in CERN Document Server (European Organization for Nuclear Research).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
This paper is also available at doi.org/w5229890.