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Sampling (Statistics)

Most popular at the top

  • Statistical Matchingby Marcello D'Orazio; Marco Di Zio; Mauro Scanu

    Wiley 2006; US$ 132.00 US$ 114.40

    There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information... more...

  • Sampling Statisticsby Wayne A. Fuller

    Wiley 2011; US$ 140.00 US$ 121.33

    Discover the latest developments and current practices in survey sampling Survey sampling is an important component of research in many fields, and as the importance of survey sampling continues to grow, sophisticated sampling techniques that are both economical and scientifically reliable are essential to planning statistical research and the... more...

  • Samplingby Steven K. Thompson

    Wiley 2012; US$ 132.00 US$ 114.40

    Praise for the Second Edition "This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." — Technometrics "Well-written . . . an excellent book on an important subject. Highly recommended." — Choice "An ideal... more...

  • Spatio-temporal Designby Jorge Mateu; ; Werner G. ller

    Wiley 2012; US$ 117.00 US$ 101.40

    A state-of-the-art presentation of optimum spatio-temporal sampling design - bridging classic ideas with modern statistical modeling concepts and the latest computational methods. Spatio-temporal Design presents a comprehensive state-of-the-art presentation combining both classical and modern treatments of network design and planning for spatial... more...

  • Sampling Methodsby Pascal Ardilly; Yves TillÚ

    Springer New York 2006; US$ 95.01

    Whenweagreedtoshareallofourpreparationofexercisesinsamplingtheory to create a book, we were not aware of the scope of the work. It was indeed necessary to compose the information, type out the compilations, standardise the notations and correct the drafts. It is fortunate that we have not yet measured the importance of this project, for this work probably... more...

  • Sampling Algorithmsby Yves TillÚ

    Springer New York 2006; US$ 126.68

    Over the last few decades, important progresses in the methods of sampling have been achieved. This book draws up an inventory of new methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. more...

  • Analysis of Health Surveysby Edward L. Korn; Barry I. Graubard

    Wiley 2011; US$ 190.00 US$ 164.67

    How to apply statistical methods to survey data--a guide to effective analysis of health surveys. With large health 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 questions. This practical book provides... more...

  • Sample Size Methodologyby M. M. Desu

    Elsevier Science 2012; US$ 72.95

    One of the most important problems in designing an experiment or a survey is sample size determination and this book presents the currently available methodology. It includes both random sampling from standard probability distributions and from finite populations. Also discussed is sample size determination for estimating parameters in a Bayesian setting... more...

  • Advanced Sampling Theory with Applicationsby S. Singh

    Springer Netherlands 2013; US$ 95.01

    Advanced Sampling Theory with Applications: How Michael "selected" Amy is a comprehensive exposÚ of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology. This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical... more...

  • Incomplete Categorical Data Designby Guo-Liang Tian; Man-Lai Tang

    CRC Press 2016; US$ 94.95

    Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially inaccurate data. Addressing this difficulty, non-randomized... more...