Graphic Statistics in Management
Author | : William Henry Smith |
Publisher | : |
Total Pages | : 378 |
Release | : 1924 |
Genre | : Business |
ISBN | : |
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Author | : William Henry Smith |
Publisher | : |
Total Pages | : 378 |
Release | : 1924 |
Genre | : Business |
ISBN | : |
Author | : W.H. Smith |
Publisher | : |
Total Pages | : |
Release | : 1934 |
Genre | : |
ISBN | : |
Author | : George Fletcher |
Publisher | : Springer |
Total Pages | : 186 |
Release | : 2018-10-31 |
Genre | : Computers |
ISBN | : 3319961934 |
This book presents a comprehensive overview of fundamental issues and recent advances in graph data management. Its aim is to provide beginning researchers in the area of graph data management, or in fields that require graph data management, an overview of the latest developments in this area, both in applied and in fundamental subdomains. The topics covered range from a general introduction to graph data management, to more specialized topics like graph visualization, flexible queries of graph data, parallel processing, and benchmarking. The book will help researchers put their work in perspective and show them which types of tools, techniques and technologies are available, which ones could best suit their needs, and where there are still open issues and future research directions. The chapters are contributed by leading experts in the relevant areas, presenting a coherent overview of the state of the art in the field. Readers should have a basic knowledge of data management techniques as they are taught in computer science MSc programs.
Author | : Nicholas J. Horton |
Publisher | : CRC Press |
Total Pages | : 299 |
Release | : 2010-07-28 |
Genre | : Mathematics |
ISBN | : 1439827567 |
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsUsing R for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in R, without having to navigate through the extensive, idiosyncratic, and sometimes
Author | : Ken Kleinman |
Publisher | : CRC Press |
Total Pages | : 325 |
Release | : 2009-07-21 |
Genre | : Mathematics |
ISBN | : 1420070592 |
An All-in-One Resource for Using SAS and R to Carry out Common TasksProvides a path between languages that is easier than reading complete documentationSAS and R: Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in both SAS and R, without having to navigate through the extensive, id
Author | : Nicholas J. Horton |
Publisher | : CRC Press |
Total Pages | : 280 |
Release | : 2015-03-10 |
Genre | : Mathematics |
ISBN | : 1482237377 |
This book covers the aspects of R most often used by statistical analysts. Incorporating the use of RStudio and the latest R packages, this second edition offers new chapters on simulation, special topics, and case studies. It reorganizes and enhances the chapters on data input and output, data management, statistical and mathematical functions, programming, high-level graphics plots, and the customization of plots. It also provides a detailed discussion of the philosophy and use of the knitr and markdown packages for R.
Author | : Ken Kleinman |
Publisher | : CRC Press |
Total Pages | : 473 |
Release | : 2014-07-17 |
Genre | : Mathematics |
ISBN | : 1466584491 |
An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent Tasks The first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily perform an analytical task in both SAS and R, without having to navigate through the extensive, idiosyncratic, and sometimes unwieldy software documentation. The book covers many common tasks, such as data management, descriptive summaries, inferential procedures, regression analysis, and graphics, along with more complex applications. New to the Second Edition This edition now covers RStudio, a powerful and easy-to-use interface for R. It incorporates a number of additional topics, including using application program interfaces (APIs), accessing data through database management systems, using reproducible analysis tools, and statistical analysis with Markov chain Monte Carlo (MCMC) methods and finite mixture models. It also includes extended examples of simulations and many new examples. Enables Easy Mobility between the Two Systems Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. SAS users can look up tasks in the SAS index and then find the associated R code while R users can benefit from the R index in a similar manner. Numerous example analyses demonstrate the code in action and facilitate further exploration. The datasets and code are available for download on the book’s website.
Author | : Ken Kleinman |
Publisher | : CRC Press |
Total Pages | : 308 |
Release | : 2010-07-28 |
Genre | : Mathematics |
ISBN | : 1439827583 |
Quick and Easy Access to Key Elements of Documentation Includes worked examples across a wide variety of applications, tasks, and graphicsA unique companion for statistical coders, Using SAS for Data Management, Statistical Analysis, and Graphics presents an easy way to learn how to perform an analytical task in SAS, without having to navigate thro
Author | : Ken Kleinman |
Publisher | : CRC Press |
Total Pages | : 425 |
Release | : 2014-07-17 |
Genre | : Mathematics |
ISBN | : 1466584505 |
An Up-to-Date, All-in-One Resource for Using SAS and R to Perform Frequent TasksThe first edition of this popular guide provided a path between SAS and R using an easy-to-understand, dictionary-like approach. Retaining the same accessible format, SAS and R: Data Management, Statistical Analysis, and Graphics, Second Edition explains how to easily p
Author | : Robert Riegel |
Publisher | : |
Total Pages | : 586 |
Release | : 1924 |
Genre | : Business |
ISBN | : |