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  1. en.wikipedia.org › wiki › John_NelderJohn Nelder - Wikipedia

    John Ashworth Nelder FRS (8 October 1924 – 7 August 2010) was a British statistician known for his contributions to experimental design, analysis of variance, computational statistics, and statistical theory.

  2. 21 de ago. de 2019 · John Nelder was a statistician who made important contributions to applied statistical theory, of which three are notable: his work on general balance; his influential collaboration with Robert Wedderburn and later Peter McCullagh on the development of generalized linear models (GLMs); and his post-retirement collaboration with Youngjo Lee on ...

  3. 14 de mar. de 2011 · John Ashworth Nelder died on Saturday, August 7th, 2010, in Luton and Dunstable Hospital UK following a fall at his home. He was a pioneer of statistical computing and made major contributions to experimental design, numerical minimization, statistical modelling and statistical computation.

  4. John Nelder has received many honors for his statistical work. He was awarded the Guy Medal in Silver of the Royal Statistical Society in 1977 and elected a Fellow of the Royal Society in 1981. He has served both the International Biometrics Society (1978-1979) and the Royal Statistical Society (1985-1986) as president.

  5. Nelder-Mead es un algoritmo de optimización de búsqueda de patrones, lo que significa que requiere o usa información de gradiente de función y es apropiado para problemas de optimización donde el gradiente de la función es desconocido o no se puede calcular razonablemente.

  6. John Nelder has received many honors for his statistical work. He was awarded the Guy Medal in Silver of the Royal Statistical Society in 1977 and elected a Fellow of the Royal Society in 1981. He has served both the International Biometrics Society (1978–1979) and the Royal Statistical Society (1985–1986) as president.

  7. Los diseños Nelder son una forma de representar en campo el diseño de una plantación forestal, agrícola o agroforestal de forma sistemática según el criterio del investigador. Éstos muestran un patrón específico que permite economizar el espacio y costo del experimento.