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Mathematical statistics

Most popular at the top

  • Software for Data Analysisby John Chambers

    Springer 2008; US$ 129.00

    Although statistical design is one of the oldest branches of statistics, its importance is ever increasing, especially in the face of the data flood that often faces statisticians. It is important to recognize the appropriate design, and to understand how to effectively implement it, being aware that the default settings from a computer package can... more...

  • Visualize Thisby Nathan Yau

    Wiley 2011; US$ 39.99

    Practical data design tips from a data visualization expert of the modern age Data doesn?t decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear,... more...

  • Statistical Methodsby Rudolf J. Freund; Donna Mohr; William J. Wilson

    Elsevier Science 2010; US$ 119.95

    Statistical Methods , 3e provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines. This text takes a classic approach emphasizing concepts and techniques for working out problems and intepreting results. The book includes... more...

  • Asymptotic Statisticsby A. W. van der Vaart

    Cambridge University Press 1998; US$ 48.00

    A mathematically rigorous, practical introduction presenting standard topics plus research. more...

  • Design, Analysis, and Interpretation of Genome-Wide Association Scansby Daniel Stram

    Springer 2013; US$ 109.00

    This book presents the statistical aspects of designing, analyzing and interpreting the results of genome-wide association scans (GWAS studies) for genetic causes of disease using unrelated subjects. Particular detail is given to the practical aspects of employing the bioinformatics and data handling methods necessary to prepare data for statistical... more...

  • The Stata Survival Manualby David Pevalin; Karen Robson

    McGraw-Hill Education 2009; US$ 57.00

    Offers you a step by step introduction to the basics of Stata software. This book helps you with manipulating and organizing data; generating statistics; interpreting results; and, presenting outputs. more...

  • Introduction to Mixed Modellingby N. W. Galwey

    Wiley 2014; US$ 107.50

    This book first introduces the criterion of REstricted Maximum Likelihood (REML) for the fitting of a mixed model to data before illustrating how to apply mixed model analysis to a wide range of situations, how to estimate the variance due to each random-effect term in the model, and how to obtain and interpret Best Linear Unbiased Predictors (BLUPs)... more...

  • Graphics of Large Datasetsby Antony Unwin; Martin Theus; Heike Hofmann

    Springer 2007; US$ 169.00

    This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases, or large in numbers of variables, or large in both. All ideas are illustrated with displays from analyses of real datasets and the importance of interpreting displays effectively is emphasized. Graphics should be drawn to convey information and the... more...

  • Bioinformatics with R Cookbookby Paurush Praveen Sinha

    Packt Publishing 2014; US$ 32.99

    This book is an easy-to-follow, stepwise guide to handle real life Bioinformatics problems. Each recipe comes with a detailed explanation to the solution steps. A systematic approach, coupled with lots of illustrations, tips, and tricks will help you as a reader grasp even the trickiest of concepts without difficulty. This book is ideal for computational... more...

  • 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...