Statistical Meta-Analysis with Applications
Автор: Guido Knapp
Год издания: 0000
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies. Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individual estimates Using meta-analysis to analyze binary and ordinal categorical data Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study. Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.
Secure PHP Development: Building 50 Practical Applications
Автор: Mohammed J. Kabir
Год издания:
The personal home page (PHP) server-side scripting language is particular well adapted to connecting HTML-based web pages to a backend database for dynamic content. This book explains the entire nuts-and-bolts process of the PHP application life cycle: requirements, design, development, maintenance and tuning. It shows how PHP can be used to design and develop highly manageable and secure applications to solve practical problems.
Oracle Database 10g XML & SQL: Design, Build, & Manage XML Applications in Java, C, C++, & PL/SQL
Автор: Mark Scardina
Год издания:
Written by members of the Oracle XML group, this is a must-have reference for all IT managers, DBAs, and developers who want to learn the best practices for using XML with Oracle’s XML-enabled products. Includes real-world case studies based on theauthors’ experience managing Oracle’s XML Discussion Forum - a community of 20,000+ XML component users.
Principles and Applications of Electrical Engineering
Автор: Giorgio Rizzoni
Год издания:
Rizzoni is designed for the sophomore/junior level, Introduction to Electrical Engineering course required for non-EE majors. The most widely used book for this course, Rizzoni introduces non-majors to the three basic areas of electrical engineering: circuits, electronics, and electromechanics. The second edition continues the tradition of focusing on the topics and issues of interest to the non-electrical engineering student. To maintain student interest in these topics, Rizzoni provides numerous links between electrical engineering and other engineering fields.
Microsoft SQL Server 2005 Analysis Services. OLAP и многомерный анализ данных
Автор: А. Б. Бергер
Год издания:
Книга, написанная разработчиками Microsoft SQL Server 2005 Analysis Services, дает читателю полное представление об его функционировании и устройстве. В ней рассмотрены основы многомерного анализа данных и дано глубокое представление о многомерных моделях данных и устройстве OLAP-сервера. Описаны основные концепции языка доступа к многомерным данным MDX и его расширенные возможности, а также архитектура сервера, методы обработки данных и алгоритмы доступа к данным. Приведены внутренние и внешние протоколы обмена данными, включая протокол XML/A. Рассмотрены алгоритмы управления ресурсами Analysis Services, в том числе алгоритмы управления памятью. Описан процесс создания эффективных клиентских приложений с использованием Analysis Services, механизмы интеграции многомерных и реляционных баз данных. Уделено внимание безопасности, а также администрированию Microsoft SQL Server 2005 Analysis Services. Для разработчиков и бизнес-аналитиков.