We consider the estimation of parameters in a particular segmented generalized linear model with additive measurement error in predictors, with a focus on linear and logistic regression. In epidemiologic studies segmented regression models often occur as threshold models, where it is assumed that the exposure has no influence on the response up to a possibly unknown threshold. Furthermore, in o...

This paper develops a uniform test of linearity against thresholds effects in the quantile regression framework. The test is based on the supremum of the Wald process over the space of quantile and threshold parameters. We establish the asymptotic null distribution of the test statistic for stationary weakly dependent processes, and propose a simulation method to approximate the critical values...

This paper investigates the nonlinear relationship between capital structure and firm performance in MENA region using a sample of 499 listed firms over 2007–2020 period, or 6986 firm-year observations. Specifically, we examine size-threshold effect structure–firm nexus. To do so, this study applies dynamic panel threshold regression model (DPTR). The findings show that there is debt (Tobin’s Q...

In conventional 3D-CT image processing, the images are influenced by subjective threshold settings. The purpose of this study was to evaluate an objective threshold setting technique based on the discriminant analysis method. The concentration of contrast medium in a joint of a simulated upper cervical spine phantom was changed, and its threshold was measured from scanned data by using the disc...

We investigate the large sample behavior of a p-value based procedure for estimating the threshold level at which a regression function takes off from its baseline value – a problem that frequently arises in environmental statistics, engineering and other related fields. The estimate is constructed via fitting a “stump” function to approximate p-values obtained from tests for deviation of the r...

Automatic threshold selection in regression method of change detection in remote sensing images is investigated in this paper. We have reviewed the three well-known automatic threshold selection methods in the image processing field; namely, convex hull, Otsu, and ISODATA. We have then described the adaptive threshold selection concept. We have then shown that from these three methods, only the...

Abstract—Analysis of the uncertainty quantification related to nuclear safety margins applied to the nuclear reactor is an important concept to prevent future radioactive accidents. The nuclear fuel performance code may involve the tolerance level determined by traditional deterministic models producing acceptable results at burn cycles under 62 GWd/MTU. The behavior of nuclear fuel can simulat...

There are various causes for inflation in macroeconomics. One of the important channels of experiencing inflation is through the international economy caused by external shocks. In this context, the impact of exchange rate volatilities on domestic prices known as Exchange Rate Pass-Through (ERPT) plays a vital role. The present paper deals with the impact of Exchange Rate Pass-Through on inflat...