Light-matter interactions between the metallic and dielectric layers along with controlling of electromagnetic waves can create a way to develop micro-devices moderate functionalities for advanced applications. This study describes new technique plasmatic electron packet based on an electric split-ring resonator (eSRR). All numerical experiments were performed using CST package. The proposed me...

This paper presents a general mixed model for the analysis of serial dichotomous responses provided by a panel of study participants. Each subject's serial responses are assumed to arise from a logistic model, but with regression coefficients that vary between subjects. The logistic regression parameters are assumed to be normally distributed in the population. Inference is based upon maximum l...

When modeling a dose-response for a drug based on bivariate binary data such as two co-primary efficacy endpoints in early stages of development, there is usually uncertainty about the from of the true underlying dose-response shape. Often, investigators fit several different models that are deemed plausible, but later fail to acknowledge this uncertainty in inference that is based on a single ...

We quantify the informational content of special regressors in heteroskedastic binary regressions with median-independent or conditionally symmetric errors. We measure informational content by two criteria: the set of regressor values that help point identify coe¢ cients in latent payo¤s as in (Manski 1988); and the Fisher information of coe¢ cients as in (Chamberlain 1986). We …nd for median-i...

This paper considers two recently proposed semiparametric estimators for distribution-free binary response models under a conditional median restriction. It shows that these estimators can be implemented in Stata using nl through simple modifications to the nonlinear least squares probit criterion function. We then introduce dfbr, a new Stata command which implements these estimators, and provi...

This paper studies the identification of best response functions in binary games without making strong parametric assumptions about the payoffs. The best response function gives the utility maximizing response to a decision of the other players. This is analogous to the response function in the treatment-response literature, taking the decision of the other players as the treatment, except that...