IBM SPSS by Example

IBM SPSS by Example

Author: Alan C. Elliott

Publisher: SAGE Publications

Published: 2014-12-31

Total Pages: 278

ISBN-13: 1483319040

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The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.


A Handbook of Statistical Analyses Using R, Second Edition

A Handbook of Statistical Analyses Using R, Second Edition

Author: Torsten Hothorn

Publisher: Chapman and Hall/CRC

Published: 2009-07-20

Total Pages: 376

ISBN-13: 9781420079333

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A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized additive models, and simultaneous inference A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution New examples and additional exercises in several chapters A new version of the HSAUR package (HSAUR2), which is available from CRAN This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.


Data Analysis and Decision Support

Data Analysis and Decision Support

Author: Daniel Baier

Publisher: Springer Science & Business Media

Published: 2006-05-06

Total Pages: 361

ISBN-13: 3540283978

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It is a great privilege and pleasure to write a foreword for a book honor ing Wolfgang Gaul on the occasion of his sixtieth birthday. Wolfgang Gaul is currently Professor of Business Administration and Management Science and the Head of the Institute of Decision Theory and Management Science, Faculty of Economics, University of Karlsruhe (TH), Germany. He is, by any measure, one of the most distinguished and eminent scholars in the world today. Wolfgang Gaul has been instrumental in numerous leading research initia tives and has achieved an unprecedented level of success in facilitating com munication among researchers in diverse disciplines from around the world. A particularly remarkable and unique aspect of his work is that he has been a leading scholar in such diverse areas of research as graph theory and net work models, reliability theory, stochastic optimization, operations research, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer science (e.g., w- mining), business research (e.g., market segmentation), management science (e.g., decision support systems) and behavioral sciences (e.g., preference mea surement and data mining). All of his endeavors have been accomplished at the highest level of professional excellence.


The Theory of Dispersion Models

The Theory of Dispersion Models

Author: Bent Jorgensen

Publisher: CRC Press

Published: 1997-06-01

Total Pages: 264

ISBN-13: 9780412997112

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The theory of dispersion models straddles both statistics and probability, and involves an encyclopedic collection of tools, such as exponential families, asymptotic theory, stochastic processes, Tauber theory, infinite divisibility, and stable distributions. The Theory of Dispersion Models introduces the reader to these models, which serve as error distributions for generalized linear models, and looks at their applications within this context.


Agricultural Survey Methods

Agricultural Survey Methods

Author: Roberto Benedetti

Publisher: John Wiley & Sons

Published: 2010-03-18

Total Pages: 434

ISBN-13: 9780470665466

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Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics. Conducting a census, setting up frames and registers and using administrative data for statistical purposes are covered and issues arising from sample design and estimation, use of remote sensing, management of data quality and dissemination and analysis of survey data are explored. Key features: Brings together high quality research on agricultural statistics from experts in this field. Provides a thorough and much needed overview of developments within agricultural statistics. Contains summaries for each chapter, providing a valuable reference framework for those new to the field. Based upon a selection of key methodological papers presented at the ICAS conference series, updated and expanded to address current issues. Covers traditional statistical methodologies including sampling and weighting. This book provides a much needed guide to conducting surveys of land use and to the latest developments in agricultural statistics. Statisticians interested in agricultural statistics, agricultural statisticians in national statistics offices and statisticians and researchers using survey methodology will benefit from this book.


Planning the Future Space Weather Operations and Research Infrastructure: Proceedings of the Phase II Workshop

Planning the Future Space Weather Operations and Research Infrastructure: Proceedings of the Phase II Workshop

Author: National Academies Of Sciences Engineeri

Publisher: National Academies Press

Published: 2023-06-14

Total Pages: 0

ISBN-13: 9780309693660

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Affecting technological systems at a global-scale, space weather can disrupt high-frequency radio signals, satellite-based communications, navigational satellite positioning and timing signals, spacecraft operations, and electric power delivery with cascading socioeconomic effects resulting from these disruptions. Space weather can also present an increased health risk for astronauts, as well as aviation flight crews and passengers on transpolar flights. In 2019, the National Academies was approached by the National Aeronautics and Space Administration, the National Oceanic and Atmospheric Administration, and the National Science Foundation to organize a workshop that would examine the operational and research infrastructure that supports the space weather enterprise, including an analysis of existing and potential future measurement gaps and opportunities for future enhancements. This request was subsequently modified to include two workshops, the first (Phase I) of which occurred in two parts on June 16-17 and September 9-11, 2020. The Phase II workshop occurred on April 11-14, 2022, with sessions on agency updates, research needs, data science, observational and modeling needs, and emerging architectures relevant to the space weather research community and with ties to operational needs. This publication summarizes the presentation and discussion of that workshop.


Highly Structured Stochastic Systems

Highly Structured Stochastic Systems

Author: Peter J. Green

Publisher:

Published: 2003

Total Pages: 536

ISBN-13: 9780198510550

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Through this text, the author aims to make recent developments in the title subject (a modern strategy for the creation of statistical models to solve 'real world' problems) accessible to graduate students and researchers in the field of statistics.