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Industrial Engineering in Apparel Manufacturing
While there is pressure (from buyers), inclination (within self to do better) and a heightened aspiration among apparel manufacturers to use Industrial Engineering (IE) like other more industrialized sectors, there is no specific book as such dealing with IE in relation to apparel manufacturing. The existing books that are already written on IE possess academic rigour and generic functions applicable across industries, thus making it difficult for the practitioners to refer and clear discrete doubts related to apparel manufacturing. Undoubtedly, work study is the centrepiece of Industrial Engineering; however apart from work study, industrial engineers in apparel industry are also supposed t...
Design, Automation, and Test in Europe
In 2007 The Design, Automation and Test in Europe (DATE) conference celebrated its tenth anniversary. As a tribute to the chip and system-level design and design technology community, this book presents a compilation of the three most influential papers of each year. This provides an excellent historical overview of the evolution of a domain that contributed substantially to the growth and competitiveness of the circuit electronics and systems industry.
Quantile Regression
Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By complementing the exclusive focus of classical least squares regression on the conditional mean, quantile regression offers a systematic strategy for examining how covariates influence the location, scale and shape of the entire response distribution. This monograph is the first comprehensive treatment of the subject, encompassing models that are linear and nonlinear, parametric and nonparametric. The author has devoted more than 25 years of research to this topic. The methods in the analysis are illustrated with a variety of applications from economics, biology, ecology and finance. The treatment will find its core audiences in econometrics, statistics, and applied mathematics in addition to the disciplines cited above.
Bubble Value at Risk
Introduces a powerful new approach to financial risk modeling with proven strategies for its real-world applications The 2008 credit crisis did much to debunk the much touted powers of Value at Risk (VaR) as a risk metric. Unlike most authors on VaR who focus on what it can do, in this book the author looks at what it cannot. In clear, accessible prose, finance practitioners, Max Wong, describes the VaR measure and what it was meant to do, then explores its various failures in the real world of crisis risk management. More importantly, he lays out a revolutionary new method of measuring risks, Bubble Value at Risk, that is countercyclical and offers a well-tested buffer against market crashe...
