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The Structural Foundations of International Finance
The principal message of this book is that international financial enterprises must be reoriented towards funding productive activities rather than potentially destabilizing speculation. The effects of financial sector operations are addressed with serious warnings that the dangers of speculative destabilization are increasing as regulatory and market discipline gradually weakens. The Structural Foundations of International Finance examines the ways in which national economies, especially those of industrialized countries, are affected by the operations of international financial markets. Although these markets provide productive funding, there is also much speculative trading in stocks and currencies which can cause booms, slumps and hinder recovery. The authors advocate entrepreneurial coordination by productive enterprises for balanced and stable growth, with reduced risks of financial crises and recessions.
Architecture as Experience
Architecture as Experience investigates the perception and appropriation of places across intervals of time and culture. The particular concern of the volume is to bring together fresh empirical research and animate it through contact with theoretical sophistication, without overwhelming the material. The chapters establish the continuity of a particular physical object and show it in at least two alternative historical perspectives, in which recognisable features are shown in different lights. The results are often surprising, inverting the common idea of a historic place as having an enduring meaning. This book shows the insight that can be gained from learning about earlier constructions of meaning which have been derived from the same buildings that stand before us today.
Advanced Introduction to Corporate Finance
This Advanced Introduction presents the modern theories of corporate finance. Its focus on core concepts offers useful managerial insights, bolstered by recent empirical evidence, to provide a richer understanding of critical corporate financial policy decisions.
International Business Strategy and Cross-Cultural Management
This comprehensive yet accessible textbook provides readers with an advanced and applied approach to traditional international business that integrates key cross-cultural management topics. Its ten chapters give profound insights into analysing, selecting and entering international markets, strategic partnerships, strategic positioning, global value chains, organizational designs, intercultural interaction, leadership and motivation and international human resources management. For each of these topics, advanced and contemporary theoretical and analytical frameworks are discussed and translated into toolsets that will assist readers in solving practical challenges.
Applied Multivariate Statistics with R
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.
Statistical Analysis of Network Data with R
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).
Italy Revisited
Drawing out her mother's childhood memories of life in southern Italy at the dawn of the twentieth century, Mary Melfi takes an unconventional approach to autobiographical writing. Italy Revisited serves as a double memoir, told in dialogue between a mother and a daughter. The conversation takes the reader to a medieval town high up in the mountains where time is told by the shadow the sun casts, where wheat and olive oil are the currency of choice (barter is in use), and where marriage is as much about property as it is about love. As they re-create that vanished world, the pair finds greater understanding of the tumultuous relationships that sometimes exist between immigrant mothers and their children.
New Statistics with R
An introductory level text covering linear, generalized linear, linear mixed-effects, and generalized mixed models implemented in R and set within a contemporary framework.
Statistical Hypothesis Testing with SAS and R
A comprehensive guide to statistical hypothesis testing with examples in SAS and R When analyzing datasets the following questions often arise: Is there a short hand procedure for a statistical test available in SAS or R? If so, how do I use it? If not, how do I program the test myself? This book answers these questions and provides an overview of the most common statistical test problems in a comprehensive way, making it easy to find and perform an appropriate statistical test. A general summary of statistical test theory is presented, along with a basic description for each test, including the necessary prerequisites, assumptions, the formal test problem and the test statistic. Examples in...
