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Basic methods for the biochemical lab
Covers : quantitative methods (proteins, nucleic acids, phospholipids and carbohydrates), electrophoresis (several polyacrylamide and agarose systems, 2D-PAGE, detection methods and affinity electrophoresis), chromatographic protocols (thin-layer chromatography, GPC, IEC, affinity chromatography, HPLC), immunochemical protocols (hapten-carrier and enzyme conjugation, immunization and antibody purification, immune affinity chromatography, ELISA), centrifugation (differential and density gradient centrifugation for cells and cellular fractions), radioactivity (labeling and counting), buffers (buffer properties and compositions).
Mathematical and Statistical Methods in Insurance and Finance
The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection here published gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields, all treated in light of the successful cooperation between the two quantitative methods.
Managerial Uses of Accounting Information
“Joel Demski’s book is an excellent book in accounting that provides an insightful and comprehensive study on managerial accounting using issues through a new approach based on economic theory and quantitative methods. … this book is very insightful and worth reading. The book is recommended as teaching and research material since it motivates readers to study thoughtfully the philosophy and principles of managerial accounting, in addition addressing how to solve managerial problems based on accounting information.”
Logistics Systems : Design and Optimization
In a context of global competition, the optimization of logistics systems is inescapable. LOGISTICS SYSTEMS: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the following chapters focus on quantitative methods for the design and optimization of logistics systems.
Language, Expressivity and Cognition
The book presents how language shapes communicative and cognitive processes but at the same time is also shaped by those processes. The chapters put forward a number of disciplinary and methodological perspectives encompassing insights from cognitive and social psychology, (critical) discourse analysis, cognitive linguistics, corpus linguistics and sociolinguistics. Both intralingual as well as contrastive, each chapter also engages with qualitative and quantitative methods.
Applied Quantitative Finance
Applied Quantitative Finance (2nd edition) provides a comprehensive and state-of-the-art treatment of cutting-edge topics and methods. It provides solutions to and presents theoretical developments in many practical problems such as risk management, pricing of credit derivatives, quantification of volatility and copula modelling. The synthesis of theory and practice supported by computational tools is reflected in the selection of topics as well as in a finely tuned balance of scientific contributions on practical implementation and theoretical concepts. This linkage between theory and practice offers theoreticians insights into considerations of applicability and, vice versa, provides practitioners comfortable access to new techniques in quantitative finance.
A Benchmark Approach to Quantitative Finance
The general framework is used to provide an understanding of the nature of stochastic volatility. The book is intended for a wide audience that includes quantitative analysts, postgraduate students and practitioners in finance, economics and insurance. It aims to be a self-contained, accessible but mathematically rigorous introduction to quantitative finance for readers that have a reasonable mathematical or quantitative background. Finally, the book should stimulate interest in the benchmark approach by describing some of its power and wide applicability.
