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Mathematical statistics

  • Data Analysis with Competing Risks and Intermediate Statesby Ronald B. Geskus

    CRC Press 2015; US$ 79.95

    Data Analysis with Competing Risks and Intermediate States explains when and how to use models and techniques for the analysis of competing risks and intermediate states. It covers the most recent insights on estimation techniques and discusses in detail how to interpret the obtained results. After introducing example studies from the biomedical... more...

  • Power Analysis of Trials with Multilevel Databy Mirjam Moerbeek; Steven Teerenstra

    CRC Press 2015; US$ 89.95

    Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial... more...

  • Mastering Predictive Analytics with Rby Rui Miguel Forte

    Packt Publishing 2015; US$ 39.99

    This book is intended for the budding data scientist, predictive modeler, or quantitative analyst with only a basic exposure to R and statistics. It is also designed to be a reference for experienced professionals wanting to brush up on the details of a particular type of predictive model. Mastering Predictive Analytics with R assumes familiarity with... more...

  • Empirical Likelihood Method in Survival Analysisby Mai Zhou

    CRC Press 2015; US$ 89.95

    Add the Empirical Likelihood to Your Nonparametric Toolbox Empirical Likelihood Method in Survival Analysis explains how to use the empirical likelihood method for right censored survival data. The author uses R for calculating empirical likelihood and includes many worked out examples with the associated R code. The datasets and code are available... more...

  • Causality in a Social Worldby Guanglei Hong

    Wiley 2015; US$ 90.00

    Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions... more...

  • Intermediate Statisticsby Keenan A. Pituch; Tiffany A. Whittaker; James P. Stevens

    Taylor and Francis 2015; US$ 81.95

    James Stevens? best-selling text, Intermediate Statistics,  is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving the results.  SAS and SPSS are an integral part of each chapter.  Definitional formulas are used on small data sets to provide... more...

  • R Data Analysis Cookbookby Viswa Viswanathan; Shanthi Viswanathan

    Packt Publishing 2015; US$ 35.99

    This book is ideal for those who are already exposed to R, but have not yet used it extensively for data analytics and are seeking to get up and running quickly for analytics tasks. This book will help people who aspire to enhance their skills in any of the following ways:• perform advanced analyses and create informative and professional charts•... more...

  • Beyond Basic Statisticsby Kristin H. Jarman

    Wiley 2015; US$ 59.95

    Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the... more...

  • Statistik-Formeln für Dummiesby Timm Sigg

    Wiley 2015; US$ 11.50 US$ 9.20

    more...

  • Producing High-Quality Figures Using SAS/GRAPH® and ODS Graphics Proceduresby Charlie Chunhua Liu

    CRC Press 2015; US$ 59.95

    "This is a nice reference for someone wanting to go beyond the basics of graphics, especially if they want to make one of the graph types discussed. While different subject areas are represented, most examples are medical in nature." ?David A. Dickey, Department of Statistics, North Carolina State University "SAS programmers looking to master SAS... more...