Visual Statistics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Visual Statistics

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Young, Forrest W./ Valero-mora, Pedro M./ Friendly, Michael 作者
John Wiley & Sons Inc
譯者
2006-8 出版日期
400 頁數
896.00元 價格
HRD
叢書系列
9780471681601 圖書編碼

Visual Statistics 在線電子書 圖書標籤: 統計學  統計  Visualization  時空EDA  原始/圖形思維  0待購   


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Visual Statistics 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Visual Statistics 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Visual Statistics 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Visual Statistics 在線電子書 圖書描述

A visually intuitive approach to statistical data analysis

Visual Statistics brings the most complex and advanced statistical methods within reach of those with little statistical training by using animated graphics of the data. Using ViSta: The Visual Statistics System-developed by Forrest Young and Pedro Valero-Mora and available free of charge on the Internet-students can easily create fully interactive visualizations from relevant mathematical statistics, promoting perceptual and cognitive understanding of the data's story. An emphasis is placed on a paradigm for understanding data that is visual, intuitive, geometric, and active, rather than one that relies on convoluted logic, heavy mathematics, systems of algebraic equations, or passive acceptance of results.

A companion Web site complements the book by further demonstrating the concept of creating interactive and dynamic graphics. The book provides users with the opportunity to view the graphics in a dynamic way by illustrating how to analyze statistical data and explore the concepts of visual statistics.

Visual Statistics addresses and features the following topics:

* Why use dynamic graphics?

* A history of statistical graphics

* Visual statistics and the graphical user interface

* Visual statistics and the scientific method

* Character-based statistical interface objects

* Graphics-based statistical interfaces

* Visualization for exploring univariate data

This is an excellent textbook for undergraduate courses in data analysis and regression, for students majoring or minoring in statistics, mathematics, science, engineering, and computer science, as well as for graduate-level courses in mathematics. The book is also ideal as a reference/self-study guide for engineers, scientists, and mathematicians.

With contributions by highly regarded professionals in the field, Visual Statistics not only improves a student's understanding of statistics, but also builds confidence to overcome problems that may have previously been intimidating.

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