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Studying Human Populations

An Advanced Course in Statistics

  • Nicholas T. Longford

Part of the Springer Texts in Statistics book series (STS)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Pages 67-101
  3. Pages 103-127
  4. Pages 129-161
  5. Pages 163-199
  6. Pages 233-263
  7. Pages 265-299
  8. Back Matter
    Pages 397-477

About this book

Introduction

Studying Human Populations is a textbook for graduate students and research workers in social statistics and related subject areas. It follows a novel curriculum developed around the basic statistical activities of sampling, measurement and inference. Statistics is defined broadly as making decisions in the presence of uncertainty that arises as a consequence of limited resources available for collecting information. A connecting link of the presented methods is the perspective of missing information, catering for a diverse class of problems that include nonresponse, imperfect measurement and causal inference. In principle, any problem too complex for our limited analytical toolkit could be converted to a tractable problem if some additional information were available. Ingenuity is called for in declaring such (missing) information constructively, but the universe of problems that we can address is wide open, not limited by a discrete set of procedures.

The monograph aims to prepare the reader for the career of an independent social statistician and to serve as a reference for methods, ideas for and ways of studying human populations: formulation of the inferential goals, design of studies, search for the sources of relevant information, analysis and presentation of results. Elementary linear algebra and calculus are prerequisites, although the exposition is quite forgiving, especially in the first few chapters. Familiarity with statistical software at the outset is an advantage, but it can be developed concurrently with studying the text.

Nicholas T. Longford directs the statistical research and consulting company SNTL in Reading, England. He had held senior research posts at the Educational Testing Service, Princeton, NJ, and De Montfort University, Leicester, England. He was awarded the first Campion Fellowship by the Royal Statistical Society (2000-2002). He is a member of the editorial boards of the British Journal of Mathematical and Statistical PsychologyB and of Survey Research Methods, and a former Associate Editor of the Journal of Educational and Behavioral Statistics, Journal of Multivariate Analysis and Journals of the Royal Statistical Society Series A and D. He is the author of three other monographs, the latest entitled Missing Data and Small-Area Estimation (Springer, 2005).

Keywords

Analysis Experiment causal inference measurement missing data sampling statistical models statistical software statistics

Authors and affiliations

  • Nicholas T. Longford
    • 1
  1. 1.SNTL Statistics Research and Consulting, ReadingEngland

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-387-73251-0
  • Copyright Information Springer-Verlag New York 2008
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-0-387-98735-4
  • Online ISBN 978-0-387-73251-0
  • Series Print ISSN 1431-875X
  • Buy this book on publisher's site