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  • Modeling Psychophysical Data in R

    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, ... Leer más

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  • Contingency Table Analysis

    Methods and Implementation Using R

    de 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 ... Leer más

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  • Exploratory Data Analysis in Business and Economics

    An Introduction Using SPSS, Stata, and Excel

    de 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 ... Leer más

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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 ... Leer más

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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 ... Leer más

    $71.99 USD

  • 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 ... Leer más

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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 ... Leer más

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  • Matrix-Based Introduction to Multivariate Data Analysis

    de 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 ... Leer más

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  • Applied Matrix and Tensor Variate Data Analysis

    Edición de Toshio Sakata ...
    Series series Mathematics and Statistics (R0)
    This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), ... Leer más

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  • Modeling Discrete Time-to-Event Data

    Series series Mathematics and Statistics (R0)
    This book focuses on statistical methods for the analysis of discrete failure times. Failure time analysis is one of the most important fields in statistical research, with applications affecting a wide range of disciplines, in particular, demography, econometrics, epidemiology and clinical research. Although there are a large variety of statistical methods for failure time analysis, many ... Leer más

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  • Statistics for Non-Statisticians

    de Birger Madsen ...
    Series series Mathematics and Statistics (R0)
    This book was written for those who need to know how to collect, analyze and present data. It is meant to be a first course for practitioners, a book for private study or brush-up on statistics, and supplementary reading for general statistics classes.The book is untraditional, both with respect to the choice of topics and the presentation.The topics were determined by what is most useful for ... Leer más

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  • Statistical Disclosure Control for Microdata

    Methods and Applications in R

    Series series Mathematics and Statistics (R0)
    This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and ... Leer más

    $58.99 USD