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  • Contributions to Sampling Statistics

    Series series Mathematics and Statistics (R0)
    This book contains a selection of the papers presented at the ITACOSM 2013 Conference, held in Milan in June 2013. It is intended as an international forum of scientific discussion on the developments of theory and application of survey sampling methodologies and applications in human and natural sciences. The book gathers research papers carefully selected from both invited and contributed ... Read more

    $49.49 USD

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    Series series Mathematics and Statistics (R0)
    Many of the commonly used methods for modeling and fitting psychophysical data are special cases of statistical procedures of great power and generality, notably the Generalized Linear Model (GLM). This book illustrates how to fit data from a variety of psychophysical paradigms using modern statistical methods and the statistical language R. The paradigms include signal detection theory, ... Read more

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  • Exploratory Data Analysis in Business and Economics

    An Introduction Using SPSS, Stata, and Excel

    by Thomas Cleff ...
    In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and ... Read more

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  • Seamless R and C++ Integration with Rcpp

    Series series Mathematics and Statistics (R0)
    Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael Braun, MIT Sloan School of Management"Seamless R and C++ integration with Rcpp" is ... Read more

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  • Excel 2010 for Social Science Statistics

    A Guide to Solving Practical Problems

    Series series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach social science statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical social science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this ... Read more

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  • Contingency Table Analysis

    Methods and Implementation Using R

    by Maria Kateri ...
    Series series Mathematics and Statistics (R0)
    Contingency tables arise in diverse fields, including life sciences, education, social and political sciences, notably market research and opinion surveys. Their analysis plays an essential role in gaining insight into structures of the quantities under consideration and in supporting decision making.Combining both theory and applications, this book presents models and methods for the analysis of ... Read more

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  • Analysis and Modeling of Complex Data in Behavioral and Social Sciences

    Series series Springer Nature Proceedings excluding Computer Science
    This volume presents theoretical developments, applications and computational methods for the analysis and modeling in behavioral and social sciences where data are usually complex to explore and investigate. The challenging proposals provide a connection between statistical methodology and the social domain with particular attention to computational issues in order to effectively address ... Read more

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  • Matrix-Based Introduction to Multivariate Data Analysis

    by Kohei Adachi ...
    Series series Mathematics and Statistics (R0)
    This book enables readers who may not be familiar with matrices to understand a variety of multivariate analysis procedures in matrix forms. Another feature of the book is that it emphasizes what model underlies a procedure and what objective function is optimized for fitting the model to data. The author believes that the matrix-based learning of such models and objective functions is the fastest ... Read more

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  • Computerized Adaptive and Multistage Testing with R

    Using Packages catR and mstR

    Series series Mathematics and Statistics (R0)
    The goal of this guide and manual is to provide a practical and brief overview of the theory on computerized adaptive testing (CAT) and multistage testing (MST) and to illustrate the methodologies and applications using R open source language and several data examples. Implementation relies on the R packages catR and mstR that have been already or are being developed by the first author (with the ... Read more

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  • Excel 2016 for Business Statistics

    A Guide to Solving Practical Problems

    Series series Mathematics and Statistics (R0)
    This book shows the capabilities of Microsoft Excel in teaching business statistics effectively. Similar to the previously published Excel 2010 for Business Statistics, this book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially ... Read more

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  • Introduction to Statistics

    Using Interactive MM*Stat Elements

    Series series Mathematics and Statistics (R0)
    This book covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing).Each chapter starts with the necessary theoretical background, which is followed by ... Read more

    $58.49 USD

  • Indirect Questioning in Sample Surveys

    Series series Mathematics and Statistics (R0)
    Indirect questioning is a crucial topic in surveys of human populations. When the issue is about a stigmatizing characteristic (for example about illegal drug use), standard survey methodologies are destined to fail because, as expected, people are not willing to reveal incriminating information or information violating their privacy. Indirect questioning techniques have been devised so that the ... Read more

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