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Mathematical statistics; Data processing

Most popular at the top

  • Machine Learning with Rby Brett Lantz

    Packt Publishing 2015; US$ 43.99

    Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required. more...

  • Elements Of Computational Statisticsby James E Gentle

    Springer 2006; US$ 84.95

    Describes techniques used in computational statistics and considers some areas of applications, such as density estimation and model building, in which computationally intensive methods are useful. more...

  • Data Manipulation with Rby Phil Spector

    Springer New York 2008; US$ 79.95

    This book presents an array of methods applicable for reading data into R, and efficiently manipulating that data. In addition to the built-in functions, a number of readily available packages from CRAN (the Comprehensive R Archive Network) are also covered. more...

  • Dynamic Linear Models with Rby Giovanni Petris; Sonia Petrone; Patrizia Campagnoli

    Springer New York 2009; US$ 79.95

    This text introduces general state space models in detail before focusing on dynamic linear models, emphasizing their Bayesian analysis. It illustrates all the fundamental steps needed to use dynamic linear models in practice, using R. more...

  • Theory and Applications of Gaussian Quadrature Methodsby Narayan Kovvali

    Morgan & Claypool Publishers 2011; US$ 35.00

    Gaussian quadrature is a powerful technique for numerical integration that falls under the broad category of spectral methods. The purpose of this work is to provide an introduction to the theory and practice of Gaussian quadrature. We study the approximation theory of trigonometric and orthogonal polynomials and related functions and examine the analytical... more...

  • Quantum Mechanicsby Daniel Bes

    Springer 2012; US$ 79.95

    more...

  • An Introduction to Statistical Computingby Jochen Voss

    Wiley 2013; US$ 88.00

    A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise intractable problems. Sampling-based simulation techniques are now an invaluable tool for exploring statistical models. This book gives a comprehensive... more...

  • Datenanalyse und Modellierung mit STATISTICAby Christian Weiß

    De Gruyter 2006; US$ 63.00

    Das Buch von Christian Weiß schildert die Möglichkeiten der Datenanalyse mit Hilfe von STATISTICA. Streng thematisch gegliedert sind die einzelnen Kapitel unabhängig voneinander lesbar, weshalb man gezielt die für sich interessanten Themenbereiche erarbeiten kann, ohne das Buch auf einmal von Anfang bis Ende lesen zu müssen. Die Aufgaben eigenen sich... more...

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

    Wiley 2014; US$ 128.00

    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...

  • Meta-Analysisby Mike W.-L. Cheung

    Wiley 2015; US$ 74.50

    Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework... more...