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Mathematical statistics

  • Understanding Educational Statistics Using Microsoft Excel and SPSSby Martin Lee Abbott

    Wiley 2014; US$ 124.00

    Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences. Mobilizing interesting real-world examples from the field of education, Understanding Educational Statistics Using Microsoft Excel and SPSS supplies a seamless presentation that identifies valuable... more...

  • New Perspectives in Partial Least Squares and Related Methodsby Herve Abdi; Wynne W. Chin; Vincenzo Esposito Vinzi; Giorgio Russolillo; Laura Trinchera

    Springer 2013; US$ 169.00

    New Perspectives in Partial Least Squares and Related Methods shares original, peer-reviewed research from presentations during the 2012 partial least squares methods meeting (PLS 2012). This was the 7th meeting in the series of PLS conferences and the first to take place in the USA. PLS is an abbreviation for Partial Least Squares and is also sometimes... more...

  • Data Manipulation with Rby Jaynal Abedin

    Packt Publishing 2014; US$ 17.99

    This book is a step-by step, example-oriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R.This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected... more...

  • Statistics As Principled Argumentby Robert P. Abelson

    Taylor and Francis 2008; US$ 39.95

    First Published in 1995. Routledge is an imprint of Taylor & Francis, an informa company. more...

  • Essential Mathematics and Statistics for Forensic Scienceby Craig Adam

    Wiley 2011; US$ 97.50

    This text is an accessible, student-friendly introduction to the wide range of mathematical and statistical tools needed by the forensic scientist in the analysis, interpretation and presentation of experimental measurements. From a basis of high school mathematics, the book develops essential quantitative analysis techniques within the context of... more...

  • Methods And Models In Statisticsby Niall Adams; Martin Crowder; David J Hand

    World Scientific Publishing Company 2004; US$ 123.00

    John Nelder is one of today's leading statisticians, having made an impact on many parts of the discipline. This book contains reviews of some of those areas, written by top researchers. It is accessible to non-specialists, and is noteworthy for its breadth of coverage. more...

  • Outlier Analysisby Charu C. Aggarwal

    Springer 2013; US$ 129.00

    With the increasing advances in hardware technology for data collection, and advances in software technology (databases) for data organization, computer scientists have increasingly participated in the latest advancements of the outlier analysis field. Computer scientists, specifically, approach this field based on their practical experiences in managing... more...

  • Penalty, Shrinkage and Pretest Strategiesby S. Ejaz Ahmed

    Springer 2013; US$ 54.99

    The objective of this book is to compare the statistical properties of penalty and non-penalty estimation strategies for some popular models. Specifically, it considers the full model, submodel, penalty, pretest and shrinkage estimation techniques for three regression models before presenting the asymptotic properties of the non-penalty estimators... more...

  • Markov's Theorem and 100 Years of the Uniqueness Conjectureby Martin Aigner

    Springer 2013; US$ 69.99

    This book takes the reader on a mathematical journey, from a number-theoretic point of view, to the realm of Markov’s theorem and the uniqueness conjecture, gradually unfolding many beautiful connections until everything falls into place in the proof of Markov’s theorem. What makes the Markov theme so attractive is that it appears in... more...

  • R by Exampleby Jim Albert; Maria Rizzo

    Springer 2012; US$ 64.95

    R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a range of statistical and probability computations using... more...