W. Walter Piegorsch Скачать все книги 2 Количество книг
Жанр в блоке книги Техническая Литература
This book provides thorough and specific guidance on how to prepare defense-related scientific and technical reports, including classified scientific and technical reports. It includes an appendix describing the workings of the Defense Technical Information Center, the central repository for defense-related scientific and technical reports, and an appendix addressing tone and style, including pertinent information from the United States Government Printing Office Style Manual 2000, the official style guide of the U.S. Government and, therefore, the Department of Defense. Every facet of preparing defense-related scientific and technical reports is addressed, thereby making it unnecessary for the user to have to refer to the standards and numerous regulations pertaining to this subject. In effect, the book provides «one-stop shopping» for the user. Also, some of the official guidance on preparing defense-related scientific and technical reports requires interpretation, and in those cases the book provides a prudent analysis of that information and prescribes a «best practices» course for the user.
Жанр в блоке книги Математика
Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.
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