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"With 80% of its population living in cities, Latin America and the Caribbean is the most urbanized region on the planet. Located here are some of the largest and bes-known cities, like Mexico City, São Paulo, Buenos Aires, Rio de Janeiro, Bogota, Lima and Santiago. The region also boasts hundreds of smaller cities that stand out because of their dynamism and creativity. This edition of State of Latin American and Caribbean cities presents teh current situation of the region's urban world, including the demographic, economic, social, environmental, urban and institutional conditions in which cities are developing." -- p.4 of cover.
Based on research presented at The Harvard Business School’s first-ever conference on business approaches to poverty alleviation, Business Solutions for the Global Poor brings together perspectives from leading academics and corporate, non-profit and public sector managers. The contributors draw on practical and dynamic how-to insights from leading BOP ventures from more than twenty countries world-wide. This important volume reflects poverty’s multi-faceted nature and a broad range of actors—multinational and local businesses, entrepreneurs, civil society organizations and governments—that play a role in its alleviation.
Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the output produced by the programs.The text presents the popular ordinary least square
"Most of the research on multinationals has focused on companies from developed markets. Research on multinationals from emerging economies is relatively new and most of the attention has been focused on multinationals from Asia. Little research has been done on the internationalization strategies and challenges of Latin American multinationals. This book aims to fill this void. Studying Latin American multinationals will not only provide insights into specific strategies deployed by successful firms but will also identify best practices that can be employed by the next generation multinationals from emerging markets." --Book Jacket.
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This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.
Small-angle scattering (SAS) is the premier technique for the characterization of disordered nanoscale particle ensembles. SAS is produced by the particle as a whole and does not depend in any way on the internal crystal structure of the particle. Since the first applications of X-ray scattering in the 1930s, SAS has developed into a standard metho
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsA unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate thro