search for: tverski

Dear WizaRds, I would like to fit a curve to ten points with nls() for one unknown parameter gamma in the Kahnemann/ Tversky function, but somehow it won't work and I am unable to locate my mistake. p.kum <- seq(0.1,1, by=0.1) felt.prob.kum <- c(0.16, 0.23, 0.36, 0.49, 0.61, 0.71, 0.85, 0.89, 0.95, 1) ## how to find a function that fits these points nicely? plot(p.kum,

I have recently uploaded a new package to CRAN called eba, which stands for elimination-by-aspects models. It allows for fitting and testing probabilistic choice models, especially the BTL model (Bradley & Terry, 1952; Luce, 1959), elimination-by-aspects (EBA) models (Tversky, 1972), and preference tree (Pretree) models (Tversky & Sattath, 1979). I believe that the functions in this

I have recently uploaded a new package to CRAN called eba, which stands for elimination-by-aspects models. It allows for fitting and testing probabilistic choice models, especially the BTL model (Bradley & Terry, 1952; Luce, 1959), elimination-by-aspects (EBA) models (Tversky, 1972), and preference tree (Pretree) models (Tversky & Sattath, 1979). I believe that the functions in this

On 9/4/23 16:43, Joseph S. Testa II wrote: > I very often see IT personnel and developers simply use the default > options for ssh-keygen. They just don't care/don't know to care. > Switching the default to ED25519 would bring the equivalent security > up from 112-bits to 128-bits (as 2048-bit RSA is equivalent to 112-bits > of symmetric strength), which would be a nice

DeaRs, i'm looking for some references on a statement as follows: "Humans are good at spotting trends and patterns in data, but they are also good at spotting those patterns where none really exist". This is not verbatim but there must be some scholarly work on this. I can't remember where I came across it - perhaps I dreamed it up? Help, anyone? Best wishes Paul -- View this

I am looking for hints on how to estimate ratings for competitors in an ongoing pairwise competition using R... my particular area of interest being the game of Go, but the idea of identifying ratings (on a continuous scale) rather than relative rankings seems easily generalized to other competitions so I thought someone might be studying something related already. I presume the rating of a