Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS

Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS
ISBN-10
1475742843
ISBN-13
9781475742848
Category
Mathematics
Pages
730
Language
English
Published
2013-06-29
Publisher
Springer Science & Business Media
Authors
Richard M. Heiberger, Burt Holland

Description

This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data—showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print.

Get the book

Amazon.com
Amazon.com
Search the book
eBay.com
eBay.com
Search the book

Other editions

Similar books

  • Statistical Analysis and Data Display
    Statistical Analysis and Data Display
    By Richard M. Heiberger, Burt Holland

    Statistical Analysis and Data Display

  • Statistical Data Analysis
    Statistical Data Analysis
    By Glen Cowan

    This book is a guide to the practical application of statistics to data analysis in the physical sciences.

  • The New Statistical Analysis of Data
    The New Statistical Analysis of Data
    By Jeremy D. Finn, T.W. Anderson

    ... or more Total Length of Less than 4 years 555 (44%) 656 (51%) 66 (5%) 1277 (100%) programs 4 years or more 244 (12%) 530 (27%) 1223 (61%) 1997 (100%) Total 799 (24%) 1186 (36%) 1289 (39%) 3274 (100%) source: Williams (1992), pp.

  • The Statistical Analysis of Experimental Data
    The Statistical Analysis of Experimental Data
    By John Mandel

    First half of book presents fundamental mathematical definitions, concepts, and facts while remaining half deals with statistics primarily as an interpretive tool.

  • Statistical Data Analysis Explained: Applied Environmental Statistics with R
    Statistical Data Analysis Explained: Applied Environmental Statistics with R
    By Peter Filzmoser, Robert Garrett, Rudolf Dutter

    This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead.

  • Handbook of Statistical Analysis and Data Mining Applications
    Handbook of Statistical Analysis and Data Mining Applications
    By Robert Nisbet, Gary Miner, Ken Yale

    Imhoff, C., Sousa, R., 1997. The Information Ecosystem. Part 1. DM-Review, January 27. Inmon, W., Imhoff, C., Sousa, R., 1998. Corporate Information Factory. John Wiley & Sons, New York, NY. Juran, J., 1951. Quality Control Handbook.

  • Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
    Discrete Data Analysis with R: Visualization and Modeling Techniques for Categorical and Count Data
    By David Meyer, Michael Friendly

    EXAMPLE 3.8: Weldon's dice Going a bit further, we can compare Weldon's data with the theoretical binomial distribution as shown below. Because the WeldonDice data collapsed the frequencies for 10–12 successes as 10+, we do the same ...

  • Graphics for Statistics and Data Analysis with R
    Graphics for Statistics and Data Analysis with R
    By Kevin J Keen

    Thin strips of wood veneer were used to create a smooth curve to be traced. Later, French curves in the form of thin clear plastic templates were used. Spline functions are mathematical analogies to these thin strips of wood and are ...

  • Graphical Data Analysis with R
    Graphical Data Analysis with R
    By Antony Unwin

    This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course.

  • Data Visualization: A Practical Introduction
    Data Visualization: A Practical Introduction
    By Kieran Healy

    An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization.