Proceedings of the Section on Statistical Graphics

Proceedings of the Section on Statistical Graphics PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Proceedings of the Section on Statistical Graphics

Proceedings of the Section on Statistical Graphics PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description


Proceedings of the Section on Statistical Graphics

Proceedings of the Section on Statistical Graphics PDF Author: American Statistical Association. Section on Statistical Graphics
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 392

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Statistical Graphics for Visualizing Multivariate Data

Statistical Graphics for Visualizing Multivariate Data PDF Author: William G. Jacoby
Publisher: SAGE
ISBN: 9780761908999
Category : Medical
Languages : en
Pages : 116

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Book Description
Jacoby explores a variety of graphical displays that are useful for visualising multivariate data, and introduces the concept of a 'data space'. Several methods for coding information directly into the plotting symbols are explained.

Handbook of Computational Statistics

Handbook of Computational Statistics PDF Author: James E. Gentle
Publisher: Springer Science & Business Media
ISBN: 3642215513
Category : Computers
Languages : en
Pages : 1180

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Book Description
The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.

Proceedings of the International Symposium on Computer Mapping in Epidemiology and Environmental Health

Proceedings of the International Symposium on Computer Mapping in Epidemiology and Environmental Health PDF Author:
Publisher:
ISBN:
Category : Environmental health
Languages : en
Pages : 376

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Proceedings of the Section on Statistics and the Environment

Proceedings of the Section on Statistics and the Environment PDF Author: American Statistical Association. Section on Statistics and the Environment
Publisher:
ISBN:
Category : Environmental policy
Languages : en
Pages : 772

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AMSTAT News

AMSTAT News PDF Author:
Publisher:
ISBN:
Category : Statistics
Languages : en
Pages : 960

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Directory of Published Proceedings

Directory of Published Proceedings PDF Author:
Publisher:
ISBN:
Category : Electronic journals
Languages : en
Pages : 606

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Data Mining and Data Visualization

Data Mining and Data Visualization PDF Author:
Publisher: Elsevier
ISBN: 0080459404
Category : Mathematics
Languages : en
Pages : 660

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Book Description
Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Statistical Graphics for Univariate and Bivariate Data

Statistical Graphics for Univariate and Bivariate Data PDF Author: William G. Jacoby
Publisher: SAGE
ISBN: 9780761900832
Category : Medical
Languages : en
Pages : 116

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Book Description
Author William G. Jacoby focuses on graphical displays that researchers can employ as an integral part of the data analysis process. Such visual depictions are frequently more revealing than traditional, numerical summary statistics. Accessibly written, this book contains chapters on univariate and bivariate methods. The former covers histograms, smoothed histograms, univariate scatterplots, quantile plots, box plots, and dot plots. The latter covers scatterplot construction guidelines, jittering for overplotted points, marginal box plots, scatterplot slicing, the Loess procedure for nonparametric scatterplot smoothing, and banking to 45 degrees for enhanced visual perception. This book provides strategies for examining data more effectively. The resultant insights help researchers avoid the problem of forcing an inaccurate model onto uncooperative data and guide analysts to model specifications that provide accurate representations of empirical information. Learn more about "The Little Green Book" - QASS Series! Click Here