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Sampling (Statistics)

  • Sampling Methodsby Pascal Ardilly; Yves Tillé

    Springer New York 2006; US$ 109.00

    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...

  • Maximum Likelihood Estimation for Sample Surveysby Raymond L. Chambers; David G. Steel; Suojin Wang; Alan Welsh

    CRC Press 2012; US$ 91.95

    Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to... more...

  • Modern Survey Samplingby Arijit Chaudhuri

    CRC Press 2014; US$ 99.95

    Starting from the preliminaries and ending with live examples, Modern Survey Sampling details what a sample can communicate about an unknowable aggregate in a real situation. The author lucidly develops and presents numerous approaches. He details recent developments and explores fresh and unseen problems, hitting upon possible solutions. The... more...

  • Randomized Response and Indirect Questioning Techniques in Surveysby Arijit Chaudhuri

    CRC Press 2010; US$ 115.95

    For surveys involving sensitive questions, randomized response techniques (RRTs) and other indirect questions are helpful in obtaining survey responses while maintaining the privacy of the respondents. Written by one of the leading experts in the world on RR, Randomized Response and Indirect Questioning Techniques in Surveys describes the current... more...

  • Network and Adaptive Samplingby Arijit Chaudhuri

    CRC Press 2014; US$ 99.95

    Combining the two statistical techniques of network sampling and adaptive sampling, this book illustrates the advantages of using them in tandem to effectively capture sparsely located elements in unknown pockets. It shows how network sampling is a reliable guide in capturing inaccessible entities through linked auxiliaries. The text also explores... more...

  • Indirect Questioning in Sample Surveysby Arijit Chaudhuri; Tasos Christofides

    Springer Berlin Heidelberg 2013; US$ 109.00

    This book reviews techniques of indirect questioning, including various versions of randomized response, the item count technique, the nominative technique, the three-card method and negative surveys, and explores the key aspect of protecting privacy. more...

  • Survey Samplingby Arijit Chaudhuri; Horst Stenger

    CRC Press 2005; US$ 121.95

    Foreword Preface to the Second Edition Preface to the First Edition ESTIMATION IN FINITE POPULATIONS: A UNIFIED THEORY Introduction Elementary Definitions Design-Based Inference Sampling Schemes Controlled Sampling STRATEGIES DEPENDING ON AUXILIARY VARIABLES Representative Strategies Examples of Representative Strategies Estimation of the... more...

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

    Wiley 2006; US$ 128.00

    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...

  • 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...