1. The Effect of Response Level Ordering on Parameter Estimate Interpretation 2. Odds Ratios 2.1 Binary Explanatory Variable Modeling the Event 2.2 Binary Explanatory Variable Modeling the Nonevent 2.3 Continuous Explanatory Variable 3. Predicted Probabilities 4. Predicted by Observed Classification Tables 4.1 Classification Using Predicted Probabilities 4.2 Classification Using Bias-adjusted P...

Abstract In option pricing, it is customary to first specify a stochastic underlying model and then extract valuation equations from it. However, possible reverse this paradigm: starting an arbitrage-free formula, one could derive family of risk-neutral probabilities corresponding asset process. paper, we start two simple equations, inspired by the log-sum-exponential function $\ell ^{p}$ <mml:...

Due to the introduction of extended producer responsibility, Original Equipment Manufacturers are forced to set up a reverse logistic system for their 'own' discarded products. As part of this set-up, they have to determine strategies for the recovery of these products. In some of our previous works, we have described OR-optimisation models that give decision support in determining optimal reco...

The municipal solid waste system is a complex reverse logistic chain which comprises several optimisation problems. Although these problems are interdependent—i.e., the solution to one of restricts other—they usually solved sequentially in related literature because each computationally problem. We address two tactical planning this by means Benders decomposition approach: determining location ...

Logistic regression may be useful when we are trying to model a categorical dependent variable (DV) as a function of one or more independent variables. This paper reviews the case when the DV has more than two levels, either ordered or not, gives and explains SAS R © code for these methods, and illustrates them with examples.

Due to the introduction of extended producer responsibility, Original Equipment Manufacturers are forced to set up a reverse logistic system for their 'own' discarded products. As part of this set-up, they have to determine strategies for the recovery of these products. In some of our previous works, we have described OR-optimisation models that give decision support in determining optimal reco...

In this study, we consider two different inequivalent formulations of the logistic difference equation $x_{n+1}= beta x_n(1- x_n), n=0,1,..., $ where $x_n$ is a sequence of fuzzy numbers and $beta$ is a positive fuzzy number. The major contribution of this paper is to study the existence, uniqueness and global behavior of the solutions for two corresponding equations, using the concept of Huku...