This book, Applications of Operational Research and Mathematical Models in Management, includes all the papers published in the Mathematics Special Issue with the same title. All the published papers are of high quality and were subjected to rigorous peer review. Mathematics is included in the...

Decision-making on real-world problems, including individual process decisions, requires an appropriate and reliable decision support system. Fuzzy set theory, rough set theory, and neutrosophic set theory, which are MCDM techniques, are useful for modeling complex decision-making problems with...

Was erwartet mich an der Hochschule? Werde ich den Anforderungen gerechtwerden können? Wie ist das in einer Vorlesung? Wie sind die Professoren?Wer studiert außer mir das Fach? Diese und weitere Fragen beschäftigen jedenStudienanfänger. Der Schritt von der Schule oder aus der beruflichen...

In this paper we examine the implications of the statistical large sample theory for the computational complexity of Bayesian and quasi-Bayesian estimation carried out using Metropolis random walks. Our analysis is motivated by the Laplace-Bernstein-Von Mises central limit theorem, which states...

This study seeks to explain country differences in the performance at the International Mathematical Olympiad. Hypotheses on the relationship between, on one hand, performance at the Olympiads and, on the other, population size and dynamics, economic resources, human capital, schooling quantity...

Outsourcing of jobs to low-wage countries has increased the focus on the accumulation of skills - such as Math skills - in high-wage countries. In this paper, we exploit a high school pilot scheme to identify the causal effect of advanced high school Math on labor market outcomes. The pilot...

Random field regression models provide an extremely flexible way to investigate nonlinearity in economic data. This paper introduces a new approach to interpreting such models, which may allow for improved inference abour the possible parametric specification of nonlinearity.

Due primarily to the difficulty of obtaining ideal data, much remains unknown about how college majors are determined. We take advantage of longitudinal expectations data from the Berea Panel Study to provide new evidence about this issue, paying particular attention to the choice of whether to...

In Bayesian analysis of dynamic stochastic general equilibrium (DSGE) models, prior distributions for some of the taste-and-technology parameters can be obtained from microeconometric or presample evidence, but it is difficult to elicit priors for the parameters that govern the law of motion of...