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Sampling (Statistics)

Most popular at the top

  • Network and Adaptive Samplingby Arijit Chaudhuri

    Taylor and Francis 2014; US$ 79.95

    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...

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

    Wiley 2006; US$ 124.00

    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...

  • Survey Samplingby Arijit Chaudhuri

    CRC Press 2005; US$ 104.95

    They have created tool for graduate and advanced level students and a reference for researchers and practitioners that goes beyond the coverage found in most textbooks. more...

  • Sampling Methodsby Pascal Ardilly; Yves Tillé

    Springer-Verlag New York Inc 2006; US$ 109.00

    Contains 116 exercises, demonstrating sampling methods solved in detail. Suitable for instructors, graduate students and survey practitioners, this book addresses the techniques of sampling, the use of estimators and the methods of appropriate calibration, and the understanding of problems pertaining to non-response. more...

  • Sampling Algorithmsby Yves Tillé

    Springer 2006; US$ 169.00

    Important progresses in the methods of sampling have been achieved. This book draws up an inventory of methods that can be useful for selecting samples. Forty-six sampling methods are described in the framework of general theory. This book is suitable for experienced statisticians who are familiar with the theory of survey sampling. more...

  • Handbook of Statistics_29Aby Danny Pfeffermann; C.R. Rao

    Elsevier Science 2009; US$ 285.00

    This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41... more...

  • Handbook of Statisticsby Danny Pfeffermann; C.R. Rao

    Elsevier Science 2009; US$ 285.00

    This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41... more...

  • Indirect Samplingby Pierre Lavallee

    Springer 2009; US$ 149.00

    This book is the reference on indirect sampling and the generalised weight share method. It reviews the different developments done by the author on these subjects. In addition to the underlying theory, the book presents different possible applications that drive its interest. The reader will find in this book the answer to questions that come, inevitably,... more...

  • Samplingby Steven K. Thompson

    Wiley 2012; US$ 124.00

    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 reference... more...

  • Adaptive Sampling Designsby George A.F. Seber; Mohammad M. Salehi

    Springer 2012; US$ 39.95

    This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends on the sampling information obtained to date. The sample adapts to new information as it comes in. These methods are especially used for sparse and clustered populations.Written by two acknowledged... more...