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Home > Education > Mathematics > Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition
Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition
by Lehtonen, Risto / Pahkinen, Erkki J.
 
 
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Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition
"Statistical complex survey analysis is a means to analyse the results, and gain information about a large population based on a complex survey of a sample of that population. A complex survey is a sample survey that divides the population into subgroups and collecting information from clusters within each subgroup and combining the results. Since the publication of the first edition in 1994, the field has changed considerably and the topic is now relevant beyond the narrow circle of survey statisticians. With large surveys becoming increasingly available for public use, researchers with little experience in survey methods are often faced with analyzing data from surveys to address scientific and programmatic issues. This practical book fills a niche by providing advanced statistical techniques for use in survey analysis, making complex surveys accessible to those working in statistics, business, economics, and the health and social sciences. "


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Title of ebook: Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition
ISBN: 9780470091630
parent-ISBN: 9780470847695
Publisher: John Wiley & Sons, Ltd.
Internet download file size: 1815 kb
Published: 01-2004
Released online for download: 01-20-2004
Author of eBook: Lehtonen, Risto
Author of eBook: Pahkinen, Erkki J.
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Practical Methods for Design and Analysis of Complex Surveys


Chapter One

Introduction

General Outline

This book deals with sample surveys that can be conceptually divided into two broad categories. In descriptive surveys, certain, usually few, population characteristics need to be precisely and efficiently estimated. For example, in a business survey, the average salaries for different occupational groups are to be estimated on the basis of a sample of business establishments. Statistical efficiency of the sampling design is of great importance. Stratification and other means of using auxiliary information, such as the sizes of the establishments, can be beneficial in sampling and estimation with respect to efficiency. Inference indescriptive surveys concerns exclusively a fixed population, although superpopulation and other models are often used in the estimation.

Analytical surveys, on the other hand, are often multi-purpose so that a variety of subject matters are covered. In the ... read full excerpt from Practical Methods for Design and Analysis of Complex Surveys, 2nd Edition ebook



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