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Introduction and Comparison of Data Envelopment Analysis Software Packages

This book presents and compares 11 software packages of Data Envelopment Analysis (DEA). Performance measurement is done by various methods;

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Applied Longitudinal Data Analysis For Epidemiology

presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely;

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Applied Longitudinal Data Analys Epidemi

presents new features of longitudinal data analysis. Explanations have been clarified where necessary and several chapters have been completely;

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Applied Longitudinal Data Analysis For Epidemiology

problem of missing data in longitudinal studies. Finally, an extensive overview of (and a comparison between) different software packages;

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Advances In Data Envelopment Analysis

dealing with ordinal data.Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the;

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Data Visualization and Analysis in Second Language Research

coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The;

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Data Visualization and Analysis in Second Language Research

coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The;

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Introduction To Computer-Intensive Methods Of Data Analysis In Biology

This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;

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Introduction To Computer-Intensive Methods Of Data Analysis

This 2006 guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological;

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Managing Service Productivity

This volume describes how frontier efficiency methodologies such as Data Envelopment Analysis (DEA) and other techniques such as multi;

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Handbook of Functional MRI Data Analysis

Analysis provides a comprehensive and practical introduction to the methods used for fMRI data analysis. Using minimal jargon, this book explains;

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Applications of Management Science

envelopment analysis, and managerial applications. Section A focuses on multiple criteria applications in college course scheduling, offshore;

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Disease Mapping with WinBUGS and MLwiN

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Open Source Software for Statistical Analysis of Big Data

software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big Data: Emerging;

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Clinical Trial Data Analysis Using R and SAS

updated R packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS;

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Clinical Trial Data Analysis Using R and SAS

packages. Includes correlated data analysis with multivariate analysis of variance. Applies R and SAS to clinical trial data from;

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Statistical Data Analysis Using Your Personal Computer

interpret the results. The book begins with a general introduction to doing research and tips for using the three statistical packages. The;

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Measurement of Hospital Efficiency Using Data Envelopment Analysis

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Applied Mixed Model Analysis

of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and;

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Applied Mixed Model Analysis

of mixed models, such as the study of group differences, longitudinal data analysis, multivariate mixed model analysis, IPD meta-analysis, and;

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Data Science and Productivity Analytics

practically and theoretically important areas of 'productivity analysisdata envelopment analysis' and 'data science/big data'. Data science;

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Strategies for Quantitative Research

of analysis and explains the assumptions that underlie them. It deals with fundamental issues, such as what kinds of data are common in the field;

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Strategies for Quantitative Research

of analysis and explains the assumptions that underlie them. It deals with fundamental issues, such as what kinds of data are common in the field;

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Data Science Tools

application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using;

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Introduction to 3D Data

Render three-dimensional data and maps with ease. Written as a self-study workbook, Introduction to 3D Data demystifies the sometimes;

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Computational Bayesian Statistics

text are the extensive discussion of available software packages combined with a brief but complete and mathematically rigorous introduction to;

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