Generalized additive models (GAMs) are a well-established statistical tool for modeling complex nonlinear relationships between covariates and response assumed to have conditional distribution in the exponential family. In this article, P-splines Laplace approximation coupled flexible fast approximate Bayesian inference GAMs. The proposed Laplace-P-spline model contributes development of new me...

In this supply chain, blood and products are investigated as a product from donor to patient. Specific characteristics of chain such perishability existence uncertainty in the structure have caused problems for planning regard. However, point should be considered that importance cannot compared perishable products. Life death issue is main difference between other Therefore, comprehensive model...

The assignment problem is a that takes many forms in optimization and graph theory, by changing some of the constraints or interpreting them differently adding other constraints, it can be converted to routing, distribution, scheduling problems. Showing such correlations one aims this paper. For derived problems having exponential time complexity, question arises their solvability for larger in...

Purpose The purpose of this paper is to maximize the total demand covered by established additive manufacturing and distribution centers literal weight assigned drones. Design/methodology/approach Disaster management or humanitarian supply chains (HSCs) differ from commercial in fact that aim HSCs minimize response time a disaster as compared profit maximization goal chains. In paper, authors d...

Abstract. Topographic effects on Cs-137 concentrations in a forested area were quantitatively examined using 58 soil core samples collected village Fukushima, Japan, which was directly impacted by the radioactive plume emitted during 2011 Fukushima Daiichi Nuclear Power Plant (FDNPP) accident. In this study, five topographic parameters and two properties evaluated as controls concentration gene...

High-resolution measurements of ultrafine particle concentrations in ambient air are needed for the study health human effects long-term exposure. This work, carried out framework VIEPI project (Integrated Evaluation Indoor Particulate Exposure), aims to extend current knowledge on small-scale spatio-temporal variability Particle Number Concentration (PNC, considered a proxy particles) at local...

The interrupted time series analysis is a quasi-experimental design used to evaluate the effectiveness of an intervention. Segmented linear regression models have been most carry out this analysis. However, they assume trend that may not be appropriate in many situations. In paper, we show how generalized additive (GAMs), non-parametric regression-based method, can useful accommodate nonlinear ...