Objective: People often have their decisions influenced by rare outcomes, such as buying a lottery and believing they will win, or not buying a product because of a few negative reviews. Previous ...

Let’s imagine that we are studying a species of beetle. The beetles come in many different colors, and we want to know how common the orange (O) coloring is in this population. This population of ...

The estimates of the parameters of the generalized geometric distribution are obtained by using ranked set sampling procedure. These estimates are compared with the ordered least squares estimates ...

Efficient Sampling for Rapid Estimation of 3D Stiffness Distribution via Active Tactile Exploration Citation: S. Yang, Jeon, S. , and Choi, J. , “Efficient Sampling for Rapid Estimation of 3D ...

The Annals of Statistics, Vol. 19, No. 2 (Jun., 1991), pp. 797-816 (20 pages) Biased sampling regression models were introduced by Jewell, generalizing the truncated regression model studied by ...

Here are four programs that demonstrate sampling distributions. For each one, a "population" of 20,000 elements is established. The user selects a sample size and random samples are drawn from the ...

Abstract: A stochastic Boolean network (SBN) emerges as a more realistic model for gene regulatory networks than a deterministic Boolean network (BN). In order to reduce output sampling while ensuring ...