Stochastic Randomized Response Model for a Quantitative Sensitive Random Variable

A two-level discount model for coordinating a decentralized supply chain considering stochastic price-sensitive demand

In this paper, a discount model is proposed to coordinate pricing and ordering decisions in a two-echelon supply chain (SC). Demand is stochastic and price sensitive while lead times are fixed. Decentralized decision making where downstream decides on selling price and order size is investigated. Then, joint pricing and ordering decisions are extracted where both members act as a single entity ...

Computing tolerance interval for binomial random variable

Tolerance interval is a random interval that contains a proportion of the population with a determined confidence level and is applied in many application fields such as reliability and quality control. In this educational paper, we investigate different methods for computing tolerance interval for the binomial random variable using the package Tolerance in statistical software R. 

Generalized Forced Quantitative Randomized Response Model

A new generalized forced quantitative randomized response (GFQRR) model for estimating the population total of a sensitive variable is proposed and studied under a unified setup. The bias and variance expressions are derived under unequal probability sampling design. It is shown that the models due to Eichhorn and Hayre (1983), Bar-Lev, Bobovitch, and Boukai (2004), Liu and Chow (1976a, 1976b),...

A Non-Random Dropout Model for Analyzing Longitudinal Skew-Normal Response

In this paper, multivariate skew-normal distribution is em- ployed for analyzing an outcome based dropout model for repeated mea- surements with non-random dropout in skew regression data sets. A probit regression is considered as the conditional probability of an ob- servation to be missing given outcomes. A simulation study of using the proposed methodology and comparing it with a semi-parame...

A Stochastic Optimization Model for Groundwater Management