Robert Nicholas Curnow

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Robert Nicholas Curnow was born in 1933. In 1992, Curnow was awarded the Guy Medal in Silver.

In 1997 Curnow was appointed President of the Royal Statistical Society. He served until 1999. During his term of office, Curnow contributed to the Green Paper "Statistics: a matter of trust" (Treasury, 1998a) and "Your right to know" (Treasury, 1998b). [1] [2]

Curnow is co-author of 146 publications. His last was “How phenotypic matching based on neutral mating cues enables speciation in locally adapted populations” in November 2019. [3] [4] [5]

Related Research Articles

Engineering statistics combines engineering and statistics using scientific methods for analyzing data. Engineering statistics involves data concerning manufacturing processes such as: component dimensions, tolerances, type of material, and fabrication process control. There are many methods used in engineering analysis and they are often displayed as histograms to give a visual of the data as opposed to being just numerical. Examples of methods are:

  1. Design of Experiments (DOE) is a methodology for formulating scientific and engineering problems using statistical models. The protocol specifies a randomization procedure for the experiment and specifies the primary data-analysis, particularly in hypothesis testing. In a secondary analysis, the statistical analyst further examines the data to suggest other questions and to help plan future experiments. In engineering applications, the goal is often to optimize a process or product, rather than to subject a scientific hypothesis to test of its predictive adequacy. The use of optimal designs reduces the cost of experimentation.
  2. Quality control and process control use statistics as a tool to manage conformance to specifications of manufacturing processes and their products.
  3. Time and methods engineering use statistics to study repetitive operations in manufacturing in order to set standards and find optimum manufacturing procedures.
  4. Reliability engineering which measures the ability of a system to perform for its intended function and has tools for improving performance.
  5. Probabilistic design involving the use of probability in product and system design
  6. System identification uses statistical methods to build mathematical models of dynamical systems from measured data. System identification also includes the optimal design of experiments for efficiently generating informative data for fitting such models.
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References

  1. Applied Statistics at the University of Reading. ISBN   0704911272.
  2. Curnow, Robert N. (2006). Applied statistics at the University of Reading: the first forty years. University of Reading. ISBN   978-0-7049-1127-7.
  3. "Robert Nicholas Curnow University of Reading Department of Mathematics and Statistics Ph.D."
  4. Reading, The University of. "Items where Author is "Curnow, Professor Robert" - CentAUR". centaur.reading.ac.uk. Retrieved August 1, 2022.
  5. Curnow, Robert N. (1999). "Unfathomable Nature and Government Policy". Journal of the Royal Statistical Society, Series D (The Statistician). 48 (4): 463–476. doi:10.1111/1467-9884.00205. ISSN   0039-0526.
Academic offices
Preceded by Robert Nicholas Curnow President of the Royal Statistical Society
1997–1999
Succeeded by