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New estimates of the demand for health : Results based on a categorical health measure and Swedish micro data

In this paper we estimate a 'Grossman' model of demand for health based on Swedish micro data. The data set consists of a random sample of over 5000 individuals taken from the Swedish adult population. Health capital is measured by a categorical measure of overall health status, and an ordered probit model is used to econometrically estimate the demand for health equation. The results are consiste

Watershed image analysis using a PSO-CA hybrid approach

Pixel classification of watershed satellite image is a challenging task in remote sensing. Uses of Particle Swarm Optimisation and Cellular Automata are significant methods in watershed image segmentation. This paper proposes a method of pixel classification using a new hybrid Particle Swarm Optimization-Cellular Automata approach. The proposed unsupervised method identifies clusters using 2-Dimen

Who controls logistics emissions? Challenges in making fragmented supply chains environmentally sustainable from a logistics service provider's perspective

Purpose The purpose of this article is to explore the environmental impact of Logistics Service Provider (LSP) activities in the light of increased customer attention and fragmentation of the industry. We try to answer the question, to what extent the LSPs can actually monitor the environmental impact of logistics activities in the supply chain? Design/methodology/approach The methodology of this

Offline writer verification based on Bangla handwritten characters using enhanced textual feature

This chapter proposes a novel offline text dependent writer verification method based on Gray Level Co-occurrence Matrix (GLCM). The method is used to combine the result of Dual Tree Complex Wavelet Transforms (DT-CWT) and GLCM features to enhance the GLCM feature performance. The texture is a very important characteristic, which is used to verify the known writer from unknown writers. We have use