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Mathematical statistics

  • Statistical Computing with Rby Maria L. Rizzo

    CRC Press 2016; US$ 99.95

    Computational statistics and statistical computing are two areas that employ computational, graphical, and numerical approaches to solve statistical problems, making the versatile R language an ideal computing environment for these fields. One of the first books on these topics to feature R, Statistical Computing with R covers the traditional core... more...

  • Developments in Statisticsby Paruchuri R. Krishnaiah

    Elsevier Science 2016; US$ 72.95

    Development in Statistics, Volume 2 is a collection of papers that deals with one- and two- dimensional structures, the statistical theory of linear systems, bispectra, and energy transfer in grid-generated turbulence. Several papers discuss simultaneous test procedures, stochastic Markovian fields, as well as the stopping of invariant sequential probability... more...

  • Introduction to the Theory of Statistical Inferenceby Hannelore Liero; Silvelyn Zwanzig

    CRC Press 2016; US$ 81.95

    Based on the authors? lecture notes, Introduction to the Theory of Statistical Inference presents concise yet complete coverage of statistical inference theory, focusing on the fundamental classical principles. Suitable for a second-semester undergraduate course on statistical inference, the book offers proofs to support the mathematics. It illustrates... more...

  • Measurement Data Modeling and Parameter Estimationby Zhengming Wang; Dongyun Yi; Xiaojun Duan; Jing Yao; Defeng Gu

    CRC Press 2016; US$ 132.95

    Measurement Data Modeling and Parameter Estimation integrates mathematical theory with engineering practice in the field of measurement data processing. Presenting the first-hand insights and experiences of the authors and their research group, it summarizes cutting-edge research to facilitate the application of mathematical theory in measurement... more...

  • Dynamic Documents with R and knitrby Yihui Xie

    CRC Press 2016; US$ 62.95

    The cut-and-paste approach to writing statistical reports is not only tedious and laborious, but also can be harmful to scientific research, because it is inconvenient to reproduce the results. Dynamic Documents with R and knitr introduces a new approach via dynamic documents, i.e. integrating computing directly with reporting. A comprehensive... more...

  • Randomized Response and Indirect Questioning Techniques in Surveysby Arijit Chaudhuri

    CRC Press 2016; 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...

  • Practical Statistical Methodsby Lakshmi Padgett

    CRC Press 2016; US$ 97.95

    Practical Statistical Methods: A SAS Programming Approach presents a broad spectrum of statistical methods useful for researchers without an extensive statistical background. In addition to nonparametric methods, it covers methods for discrete and continuous data. Omitting mathematical details and complicated formulae, the text provides SAS programs... more...

  • Methods of Statistical Model Estimationby Joseph M. Hilbe; Andrew P. Robinson

    CRC Press 2016; US$ 94.95

    Methods of Statistical Model Estimation examines the most important and popular methods used to estimate parameters for statistical models and provide informative model summary statistics. Designed for R users, the book is also ideal for anyone wanting to better understand the algorithms used for statistical model fitting. The text presents algorithms... 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...