Customer behavior is often assumed to follow weak rationality, which implies that adding a product an assortment will not increase the choice probability of another in assortment. However, increasing amount research has revealed customers are necessarily rational when making decisions. In this paper, we propose new nonparametric model relaxes assumption and can wider range customer behavior, su...

SUMMARY Comparison of the accuracy of two diagnostic tests using the receiver operating characteristic (ROC) curves from two diagnostic tests has been typically conducted using fixed sample designs. On the other hand, the human experimentation inherent in a comparison of diagnostic modalities argues for periodic monitoring of the accruing data to address many issues related to the ethics and ef...

This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. Our approach employs series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression wi...

Li & Racine (2008) consider the nonparametric estimation of conditional cumulative distribution functions (CDF) in the presence of discrete and continuous covariates along with the associated conditional quantile function. However, they did not propose an optimal data-driven method of bandwidth selection and left this important problem as an ‘open question’. In this paper we propose an automati...

in this study, total factor productivity(tfp) growth of sugar beet in iran during 1989-1990 through 2007-2008 was analyzed, using nonparametric malmquist approach. so, amounts of inputs usage including seeds, fertilizers, insecticides, herbicides, labor, water use and acreage in one hand and output of sugar beet production on the hand were taken into account. results showed that sugar beet prod...

There has been increasing interest in applying Bayesian nonparametric methods in large samples and high dimensions. As Markov chain Monte Carlo (MCMC) algorithms are often infeasible, there is a pressing need for much faster algorithms. This article proposes a fast approach for inference in Dirichlet process mixture (DPM) models. Viewing the partitioning of subjects into clusters as a model sel...

The main objective of the study is at fi rst identifying the expectation gap about audit responsibility and the second quantifying the expectation gap in Iran. In order to collecting data, a questionnaire designed and developed between auditors and investors. Collected data analyzed by employing non-parametric statistics test. The results show that there is expectation gap between auditors and ...

Using county-level Vital Statistics of the United States data from 1974-2009, we employ a differencesin-differences framework comparing influenza mortality rates in Super Bowl-participating counties to non-participants. Having a local team in the Super Bowl causes an 18% increase in influenza deaths for the population over age 65, with evidence suggesting one mechanism is increased local social...