Whether you have owned one or just wished you did, Corvettes evoke glamour, elegance, speed, a little danger, and a sense of American pride. In this book, Harvey Goldstein pairs decades-spanning photos of these classic sportscars with great stories from Corvette owners. As you explore the words and images, you’ll gain a new appreciation for the beauty and engineering of these cars and learn why owning and driving a Corvette is a special experience. Whether opening it up on a straight-away, taking it to a race track and driving around the oval, or just being able to give the “Corvette wave” to fellow owners on the open road, this book captures the fun and excitement of driving these cars—as well as the looks of envy from people driving in mundane sedans!
Throughout the social, medical and other sciences the importance of understanding complex hierarchical data structures is well understood. Multilevel modelling is now the accepted statistical technique for handling such data and is widely available in computer software packages. A thorough understanding of these techniques is therefore important for all those working in these areas. This new edition of Multilevel Statistical Models brings these techniques together, starting from basic ideas and illustrating how more complex models are derived. Bayesian methodology using MCMC has been extended along with new material on smoothing models, multivariate responses, missing data, latent normal transformations for discrete responses, structural equation modeling and survival models. Key Features: Provides a clear introduction and a comprehensive account of multilevel models. New methodological developments and applications are explored. Written by a leading expert in the field of multilevel methodology. Illustrated throughout with real-life examples, explaining theoretical concepts. This book is suitable as a comprehensive text for postgraduate courses, as well as a general reference guide. Applied statisticians in the social sciences, economics, biological and medical disciplines will find this book beneficial.
More than half of the 116 research parks now operating in the United States were established during the 1980s, with the aim of boosting regional economic growth. But until now no one has systematically analyzed whether research parks do in fact generate new businesses and jobs. Using their own surveys of all existing parks and case studies of three of the most successful--Research Triangle Park in North Carolina, Stanford Research Park in California, and the University of Utah Research Park--Michael Luger and Harvey Goldstein examine the economic impact of such facilities. As the name suggests, a research park is typically meant to provide a spacious setting where basic and applied technological research can be quietly pursued. Because of the experience of a few older and prominent research parks, new parks are expected to generate economic growth for their regions. New or old, most parks have close ties to universities, which join in such ventures to enhance their capabilities as centers of research, provide outlets for entrepreneurial faculty members, and increase job opportunities for graduate students. Too often, the authors say, the vision of "incubating" economic growth in a gardenlike preserve of research and development has failed because of poor planning, lack of firm leadership, and bad luck. Although the longest-lasting parks have met their original goals, the newer ones have enjoyed at best only slight success. Luger and Goldstein conclude that the older facilities have captured much of the market for concentrations of research and development firms, and they discuss alternative strategies that could achieve some of the same goals as research parks, but in a less costly way. Many of these alternatives continue to include a role for universities, and Luger and Goldstein shed fresh light on the linkage between higher education and the use of knowledge for profit.
Tests in Education: A Book of Critical Reviews is a collection of reviews of tests used in education. Topics covered by the reviews include early development, language, mathematics, composite attainments, general abilities, and personality and counseling. In the introduction, the tests reviewed, their range, and their accessibility and availability are discussed, along with the issues taken into account by the reviewers in the preparation of their reviews. Some of the desiderata for published tests are considered and the principles and issues frequently referred to by the reviewers are highlighted. The next section is devoted to the test reviews, which cover early development, language, mathematics, composite attainments, general abilities, and personality and counseling. The final chapter focuses on a number of other reviews for tests such as the Comprehension Test for College of Education Students, Garnett College Test, Maitland Graves Design Judgement Test, The Meier Art Tests, Modern Language Aptitude Test, Seashore Measure of Musical Talents, and Wing Standardized Tests of Musical Intelligence. This monograph will be of value to a wide range of professionals, including teachers, higher administrative staff and educational advisers, educational psychologists, medical officers, speech therapists, pediatricians, psychiatrists, and social workers.
It is now generally recognised in many areas of the social, medical and other sciences that statistical data typically have complex hierarchical or multilevel structures in which individuals are grouped together in communities or institutions. This grouping affects their behaviour and multilevel modelling is now the accepted statistical technique for the analysis of this type of data. An understanding of these methods is vital for researchers in fields such as education, epidemiology, geography, child growth and social surveys, among others. This new edition brings the book fully up to date, explaining important new developments such as the use of Markov Chain Monte Carlo methods, bootstrapping and mulitvariate models. The book has been completely restructured for this third edition and extra space has been given to discussion of key issues such as missing data, measurement errors and multivariate models. Real-life examples are used throughout to illustrate clearly the theoretical concepts.
A comprehensive compilation of new developments in data linkage methodology The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. Methodological Developments in Data Linkage brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides Novel approach incorporates technical aspects of both linkage, management and analysis of linked data This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health.
The other thing that was great to see was although the book was written in a very understanding way, the author still managed to pack in a lot of lessons and education into the book, keeping the reader invested and their minds working as they absorbed the information packed into this fairly quick read." - Anthony Avina, Pacific Book Reviews Years of business experience have taught me what business owners, executives, and managers require and desire from a finance operation. To that end, I have written a new book, Business Finance Was Never This Easy. This is a business finance book that is easy to understand and thoroughly comprehensive. Find out about business finance, cash flow, financial planning, business investment, and much more in concise, plain, non-technical language. It takes the business executive through the accounting basics then proceeds to financial analysis, financial measuring sticks, business investment analysis (including company market or financial valuation), and product cost. The executive will also learn the three levels of cash flow, the keys to succeed in every business, and financial planning. Beyond an in-depth discussion of proper business mechanics and techniques, the executive will learn how to make policy decisions and to understand the potential impacts of these policies. It presents and discusses the mechanics, raises and discusses questions regarding financial policies, and provides other thought-provoking material. Do you want to become a financial genius? Probably not! But, if you would like to have a good understanding of the financial aspects of your business or if you would like to impress your co-workers and boss with your finance savvy, then this is the book for you. Mr. Goldstein has been the CFO or Controller of several companies ranging in size from $5 million to $80 million. He was the assistant division controller of a NYSE listed company, where he also performed all the financial work on several major business investments, including a $50 million new plant. He graduated from the City College of New York with a degree in Economics and earned his MBA at the Bernard Baruch School of Business, CUNY. He has also taught at the University of Phoenix, both in the Undergraduate and Graduate Schools of Business. Mr. Goldstein has a very successful consulting firm. During his career, he has also designed organizations and systems as well as procedures that enhanced reporting and provided greater overall business control.
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