Graphical Methods for Data Analysis
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€291.40
A01=J. M. Chambers
Abrasion Loss
advanced graphical data analysis techniques
Age Group_Uncategorized
Age Group_Uncategorized
Author_J. M. Chambers
automatic-update
Beat Kleiner
Box Plots
Category1=Non-Fiction
Category=PBT
COP=United Kingdom
Cumulative Distribution Function
Daily Maximum Concentrations
Data Set
Data Sets
Delivery_Pre-order
Density Traces
distribution assessment
eq_isMigrated=2
eq_nobargain
exploratory data analysis
Exponent Data
Eye Brain System
High Concentration Days
High Leverage Point
John M. Chambers
Language_English
multivariate visualization
Multiwindow Display
Normal Probability Plot
Normal Quantile Quantile Plot
Notched Box Plots
Ozone Data
PA=Temporarily unavailable
Pairwise Scatter Plots
Paul A. Tukey
plot
Price_€100 and above
Probability Plot
PS=Active
Quantile Plot
Quantile Quantile Plot
regression diagnostics
Repair Record
Robust Regression
Robustness Weights
scatter
Scatter Plot
scientific data interpretation
softlaunch
statistical graphics
Symmetry Plot
William S. Cleveland
Product details
- ISBN 9781315893204
- Weight: 920g
- Dimensions: 152 x 229mm
- Publication Date: 29 Nov 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data � even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.
