Скиннер и Холт (2016) - это книга об анализе данных и их обработке на примере данных, полученных в результате опроса. Этот тип данных может включать вопросники или измерения, собранные в рамках процесса контроля качества. Авторы сосредоточат свое внимание на методах статистического анализа данных выборочных опросов, чтобы обновить и расширить предыдущую книгу, отредактированную Скиннером, Холтом и Смитом на тему "Анализ сложных выборок". В рамках этой книги будут рассмотрены методологические вопросы, которые возникают при применении статистических методов к данным выборочных обзоров, а также детально обсуждаться влияние сложных схем выборки. Кроме того, будут критически разобраны такие аспекты, как работа с отсутствующими данными и измерение ошибок. В течение последнего десятилетия произошли значительные улучшения в статистическом программном обеспечении, которое реализует сложные схемы выборки (например, SUDAA, STATA , WESVAR , PC CARP), что требует практического совета для тех, кто анализирует данные опроса
This book deals with statistical techniques for the proper analysis of information collected through a randomized survey. The survey might incorporate data gathered through a questionnaire or through measurements that are generated in an effort to keep good record-keeping going. Although this volume is dedicated to methodological aspects, it sees fit to update and expand on the successful Skinner volume along with Holt over Smith's "Analysis of Cluster Surveys". Attention will focus on methodological topics that emerge when usefully implementing statistical methods through study specimens. The impact of detailed sampling methods on proper statistical analysis will be thoroughly debated. Other pertinent concerns like the attributes to handle pended data and how one can calculate estimation errors will be analyzed thoroughly. Since there has been significant improvement in statistical programs that employ diverse sampling techniques (e.g., SUDAAAN, STATA, we'll take into consideration why bother, and also program for processing dataset) over the past ten years, there's a growing need for hands-on guidelines for individuals who are analyzing study data. With the goal of widening the target audience, statistics theoretical ideas will be overlooked by an extensive range of concrete examples.. This book delights a wide audience of statistician professionals, although primarily of great architectural interest to people who analyze study information. Enhanced perwp mass knowledge about the various sophisticated statistics techniques will create the book an useful online reference.
Электронная Книга «Analysis of Survey Data» написана автором C. Skinner J. в году.
Минимальный возраст читателя: 0
Язык: Английский
ISBN: 9780470864395
Описание книги от C. Skinner J.
This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.
