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potential interoperability problems, since it suggests that the software that created it expects receiving software to have greater capabilities for numeric magnitude and precision than is widely available. I think, "limits on numbers accepted" can mean rejection of some values, but not an alteration ...
Let { X n ; n ≥ 1 } \{X_n;n\ge 1\} be a sequence of independent and identically distributed random variables in a regular sub-linear expectation space ( Ω , H , E ) (\Omega,\mathscr{H},\widehat{\mathbb E}) with the finite Choquet expectation, upper mean μ \overline{\mu...
mean=0,sd=30)data<-data.frame(a=a,y=y)plot(y=y,x=a)## @knitr linreglinreg <-lm(y~a)summary(linreg)loess<-loess(y~a)summary(loess)scatter.smooth(data)abline(linreg,col="blue")## @knitr loess_fithat<-predict(loess)plot(y~a)lines(a[order(a)],hat[order(hat)],col...
“that the most general notion of object has its home in formal logic” (p. 10), which sounds all too narrow if with the term “formal logic” one associates formal languages with rigorous rules of formation and derivation, but, if I understand him correctly, Parsons’ doesn’t mean it ...
If \mu is a unitarily invariant measure on {\mathcal {H}}_N, in particular for the measures (1.1)–(1.2) generating any type of map in Table 2, \begin{aligned} \frac{\langle {\mathcal {P}}_{\lambda }(M) \rangle }{|\mathrm{Aut}\,\lambda |}= & {} \sum _{\mu \vdash...