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Statistics & Computing Books

You are currently browsing 141–150 of 165 new and published books in the subject of Statistics & Computing — sorted by publish date from newer books to older books.

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New and Published Books – Page 15

  1. A Handbook of Statistical Analyses Using SPSS

    By Sabine Landau, Brian S. Everitt

    A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to...

    Published November 23rd 2003 by Chapman and Hall/CRC

  2. SAS Programming

    The One-Day Course

    By Neil H. Spencer

    Aimed at researchers and students , SAS Programming: The One-Day Course provides an introduction to the SAS programming language. It gives the reader a start in SAS programming and the basic data manipulations and statistical summaries that are available through SAS. The book has its origins in...

    Published September 25th 2003 by Chapman and Hall/CRC

  3. Subset Selection in Regression

    2nd Edition

    By Alan Miller

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition...

    Published April 14th 2002 by Chapman and Hall/CRC

  4. A Handbook of Statistical Analyses Using S-PLUS

    2nd Edition

    By Brian S. Everitt

    Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures,  and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from...

    Published December 9th 2001 by Chapman and Hall/CRC

  5. Empirical Likelihood

    By Art B. Owen

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Empirical likelihood provides inferences whose validity does not depend on specifying a parametric model for the data. Because it uses a likelihood, the method has certain inherent advantages over resampling methods: it uses the data to determine the shape of the confidence regions, and it makes it...

    Published May 17th 2001 by Chapman and Hall/CRC

  6. Algebraic Statistics

    Computational Commutative Algebra in Statistics

    By Giovanni Pistone, Eva Riccomagno, Henry P. Wynn

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    Written by pioneers in this exciting new field, Algebraic Statistics introduces the application of polynomial algebra to experimental design, discrete probability, and statistics. It begins with an introduction to Gröbner bases and a thorough description of their applications to experimental design...

    Published December 20th 2000 by Chapman and Hall/CRC

  7. Statistical Curves and Parameters

    Choosing an Appropriate Approach

    By Michael E. Tarter

    Statistical Parameters is a unique new guide to current statistical methods and research. Based on a series of interdisciplinary lectures for users of statistical methods in research and development, this book provides insights into data acquisition and statistical interpretation. The author...

    Published January 24th 2000 by A K Peters/CRC Press

  8. Quantitative Investigations in the Biosciences using MINITAB

    By John Eddison

    Until recently, acquiring a background in the basic methodological principles that apply to most types of investigations meant struggling to obtain results through laborious calculations. The advent of statistical software packages has removed much of the tedium and many of the errors of manual...

    Published December 19th 1999 by Chapman and Hall/CRC

  9. Classification, 2nd Edition

    By A.D. Gordon

    Series: Chapman & Hall/CRC Monographs on Statistics & Applied Probability

    As the amount of information recorded and stored electronically grows ever larger, it becomes increasingly useful, if not essential, to develop better and more efficient ways to summarize and extract information from these large, multivariate data sets. The field of classification does just...

    Published June 16th 1999 by Chapman and Hall/CRC

  10. Theoretical Computational Dynamics

    By Pai

    Published February 28th 1997 by Chapman and Hall/CRC