y <- (x-3)^3 + 3*x - .25*(x^2 * (x-3)) + rnorm(n=10000, mean=0, sd=3) dat <- data.frame(x = x, y = y) One of our most fundamental goals as data scientists is to produce predictions that are *good*. In ...

I am writing to express my sincere appreciation for your excellent research. Your work has been incredibly insightful and has sparked my curiosity in several areas. I have a question regarding ...

Abstract: Consider the problem of estimating the expectation of a non linear function of a conditional expectation. This function is allowed to be non-differentiable and discontinuous at a finite set ...

Department of Statistics, Sardar Patel University, Anand, India. Several characterizations of power function distribution have been made notably by Fisz [1], Basu [2], Govindarajulu [3] and Dallas [4] ...