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Vincent average

In applied statistics, Vincentization[1] was described by Ratcliff (1979),[2] and is named after biologist S. B. Vincent (1912),[3] who used something very similar to it for constructing learning curves at the beginning of the 1900s. It basically consists of averaging subjects' estimated or elicited quantile functions in order to define group quantiles from which can be constructed.

To cast it in its greatest generality, let represent arbitrary (empirical or theoretical) distribution functions and define their corresponding quantile functions by

The Vincent average of the 's is then computed as

where the non-negative numbers have a sum of .

References edit

  1. ^ Genest, Christian (1992). "Vincentization Revisited" (PDF). 20 (2). The Annals of Statistics: 1137–1142. Retrieved 5 Sep 2018. {{cite journal}}: Cite journal requires |journal= (help)
  2. ^ Ratcliff, Roger (1979). "Group Reaction Time Distributions and an Analysis of Distribution Statistics" (PDF). Psychological Bulletin. 86 (3): 446–461. doi:10.1037/0033-2909.86.3.446. PMID 451109. Retrieved 18 November 2016.
  3. ^ Vincent, Stella; Burnham (1912). "The function of the viborissae in the behavior of the white rat". 1. Behavior Monographs. {{cite journal}}: Cite journal requires |journal= (help)

vincent, average, applied, statistics, vincentization, described, ratcliff, 1979, named, after, biologist, vincent, 1912, used, something, very, similar, constructing, learning, curves, beginning, 1900s, basically, consists, averaging, displaystyle, subjects, . In applied statistics Vincentization 1 was described by Ratcliff 1979 2 and is named after biologist S B Vincent 1912 3 who used something very similar to it for constructing learning curves at the beginning of the 1900s It basically consists of averaging n 2 displaystyle n geq 2 subjects estimated or elicited quantile functions in order to define group quantiles from which F displaystyle F can be constructed To cast it in its greatest generality let F1 Fn displaystyle F 1 dots F n represent arbitrary empirical or theoretical distribution functions and define their corresponding quantile functions by Fi 1 a inf t R Fi t a 0 lt a 1 displaystyle F i 1 alpha inf t in mathbb R F i t geq alpha quad 0 lt alpha leq 1 The Vincent average of the Fi displaystyle F i s is then computed as F 1 a wiFi 1 a 0 lt a 1 i 1 n displaystyle F 1 alpha sum w i F i 1 alpha quad 0 lt alpha leq 1 quad i 1 ldots n where the non negative numbers w1 wn displaystyle w 1 dots w n have a sum of 1 displaystyle 1 References edit Genest Christian 1992 Vincentization Revisited PDF 20 2 The Annals of Statistics 1137 1142 Retrieved 5 Sep 2018 a href Template Cite journal html title Template Cite journal cite journal a Cite journal requires journal help Ratcliff Roger 1979 Group Reaction Time Distributions and an Analysis of Distribution Statistics PDF Psychological Bulletin 86 3 446 461 doi 10 1037 0033 2909 86 3 446 PMID 451109 Retrieved 18 November 2016 Vincent Stella Burnham 1912 The function of the viborissae in the behavior of the white rat 1 Behavior Monographs a href Template Cite journal html title Template Cite journal cite journal a Cite journal requires journal help Retrieved from https en wikipedia org w index php title Vincent average amp oldid 1102256371, wikipedia, wiki, book, books, library,

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