#' Evaluación de parámetros de la distribución sqrt-ET max
#' @param m Media
#' @param cv Coeficiente de variación
#'
#' return sqrt-ET max distribution parameters
#'
#' @export
#'
SqrtETmaxPar <- function(m, cv) {
a = c(1.318615,1.801513,-1765.86, #a0
-3.16463,2.473761,-7240.6, #a1
-1.59552,23.556200,-11785.6, #a2
-6.26911,49.957274,-9538.0, #a3
-11.3177,59.775636,-3834.3, #a4
-22.6976,35.696876,-612.68, #a5
-22.0663,8.505713,0.000) #a6
b = c(2.307319,2.342697,-0.931508, #b0
-0.136674,-0.149784,2.156709, #b1
-0.075036,-0.099312,-0.779770, #b2
-0.013464,0.003444,0.112962, #b3
0.003228,0.001014,-0.009340, #b4
0.000521,-0.000141,0.000412, #b5
-0.000141,0.000005,-0.000008) #b6
dim(a)=dim(b)=c(3,7)
if (cv<=0.99 & cv>=0.7) col=1
if (cv<=0.7 & cv>=0.3) col=2
if (cv<=0.3 & cv>=0.19) col=3
lk = 0; for (i in 0:6) lk = lk + a[col,i+1]* log(cv)^i
li = 0; for (i in 0:6) li = li + b[col,i+1]* lk^i
alfa = exp(lk)*exp(li) / (1-exp(-exp(k)) *2*m)
k = exp(lk)
return(c(alfa=alfa,k=k))
}
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