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Mathematical statistics; Data processing

Most popular at the top

  • Computational Statistics Handbook with MATLAB, Second Editionby Wendy L. Martinez; Angel R. Martinez

    CRC Press 2007; US$ 109.95

    As with the bestselling first edition, Computational Statistics Handbook with MATLAB ® , Second Edition covers some of the most commonly used contemporary techniques in computational statistics. With a strong, practical focus on implementing the methods, the authors include algorithmic descriptions of the procedures as well as examples that illustrate... more...

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

    CRC Press 2015; US$ 61.95

    Create Top-Quality Figures Using SAS Producing High-Quality Figures Using SAS/GRAPH ® and ODS Graphics Procedures gives statisticians and SAS programmers practical guidance on presenting research data in high-quality figures that meet the publication requirements of academic institutions and various industries, such as pharmaceutical companies,... more...

  • R Graphs Cookbookby Jaynal Abedin; Hrishi V. Mittal

    Packt Publishing 2014; US$ 32.99

    Targeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries. more...

  • Advanced Lectures in Quantitative Economicsby Frederick van Der Ploeg

    Elsevier Science 2014; US$ 93.95

    Advanced Lectures in Quantitative Economics summarizes some of the efforts of a second-phase program for first-rate candidates with a Master's degree in economics who wish to continue with a doctoral degree in quantitative economics. This book is organized into three main topics?macroeconomics, microeconomics, and econometrics. This text specifically... more...

  • Handbook of Statisticsby Marepalli B. Rao; C.R. Rao

    Elsevier Science 2014; US$ 250.00

    R is open source statistical computing software. Since the R core group was formed in 1997, R has been extended by a very large number of packages with extensive documentation along with examples freely available on the internet. It offers a large number of statistical and numerical methods and graphical tools and visualization of extraordinarily... more...

  • Statistical Data Analysis and Inferenceby Y. Dodge

    Elsevier Science 2014; US$ 72.95

    A wide range of topics and perspectives in the field of statistics are brought together in this volume. The contributions originate from invited papers presented at an international conference which was held in honour of C. Radhakrishna Rao, one of the most eminent statisticians of our time and a distinguished scientist. more...

  • Statistical Computationby Roy C. Milton; John A. Nelder

    Elsevier Science 2014; US$ 72.95

    Statistical Computation covers the proceedings of a conference held at the University of Wisconsin in Madison, Wisconsin on April 28-30, 1969. The book focuses on the methodologies, techniques, principles, and approaches involved in statistical computation. The selection first elaborates on the description of data structures for statistical computing,... more...

  • R High Performance Programmingby Aloysius Lim; William Tjhi

    Packt Publishing 2015; US$ 17.99

    This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem. more...

  • Mastering Scientific Computing with Rby Paul Gerrard; Radia M. Johnson

    Packt Publishing 2015; US$ 29.99

    If you want to learn how to quantitatively answer scientific questions for practical purposes using the powerful R language and the open source R tool ecosystem, this book is ideal for you. It is ideally suited for scientists who understand scientific concepts, know a little R, and want to be able to start applying R to be able to answer empirical... more...

  • Modern Optimization with Rby Paulo Cortez

    Springer International Publishing 2014; US$ 49.99

    The goal of this book is to gather in a single document the most relevant concepts related to modern optimization methods, showing how such concepts and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized... more...