Thomas King
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A Companion to Cultural Resource Management
Thomas F. King
- Wiley-blackwell
- 29 Mars 2011
- 9781444396041
A Companion to Cultural Resource Management is an essential guide to those wishing to gain a deeper understanding of CRM and heritage management. Expert contributors share their knowledge and illustrate CRM's practice and scope, as well as the core issues and realities in preserving cultural heritages worldwide. Edited by one of the world's leading experts in the field of cultural resource management, with contributions by a wide range of experts, including archaeologists, architectural historians, museum curators, historians, and representatives of affected groups Offers a broad view of cultural resource management that includes archaeological sites, cultural landscapes, historic structures, shipwrecks, scientific and technological sites and objects, as well as intangible resources such as language, religion, and cultural values Highlights the realities that face CRM practitioners "on the ground"
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The world certainly suffers no shortage of accounting texts. The many out there help readers prepare, audit, interpret and explain corporate financial statements. What has been missing is a book offering context and discussion for divisive issues such as taxes, debt, options, and earnings volatility. King addresses the why of accounting instead of the how, providing practitioners and students with a highly readable history of U.S. corporate accounting. More Than a Numbers Game: A Brief History of Accounting was inspired by Arthur Levitt's landmark 1998 speech delivered at New York University. The Securities and Exchange Commission chairman described the too-little challenged custom of earnings management and presaged the breakdown in the US corporate accounting three years later. Somehow, over a one-hundred year period, accounting morphed from a tool used by American railroad managers to communicate with absent British investors into an enabler of corporate fraud. How this happened makes for a good business story. This book is not another description of accounting scandals. Instead it offers a history of ideas. Each chapter covers a controversial topic that emerged over the past century. Historical background and discussion of people involved give relevance to concepts discussed. The author shows how economics, finance, law and business customs contributed to accounting's development. Ideas presented come from a career spent working with accounting information.
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Learn how to make informed decisions through statistical reasoning! Using a qualitative approach to introduce statistical reasoning, The Numerate Leader: How to Pull Game-Changing Insights from Statistical Data is a cutting-edge book that helps the reader extract information from unfamiliar data sets. Combining introductory statistics with a few ideas from the philosophy of science, this work helps generalists find patterns that may be expected to recur in the future. Identifying one or two such relationships can be a game-changer for the reader and their employer or client. Thomas A. King's revelatory writing is easy to understand and conversational in tone. King makes the complex, tedious topics that you studied in the classroom-but likely didn't yet understand-easily comprehensible. Historical examples and humorous anecdotes illuminate technical concepts so that readers may pull insights from data sets and then explain conclusions reached through effective storytelling. What's more, the book is fun to read. A natural teacher, King emphasizes that complex software is unnecessary for success in this field. Readers, however, will find: Real-life examples that help put statistical concepts into an understandable context A glossary of important statistical terms and their use An appendix detailing ten math facts numerate people should know Perfect for undergraduate and graduate students entering advanced data analytics courses, as well as data analysts and c-suite executives just starting out, The Numerate Leader is key in helping develop the skills to identify provisional relationships between disparate data sets and then assess the significance of conclusions reached.
