The Transformation of Data

E765768

The Transformation of Data is a notable chapter in R.A. Fisher’s "The Design of Experiments" that discusses methods for mathematically modifying experimental data to meet statistical assumptions and improve analysis.

Try in SPARQL Jump to: Statements Referenced by

Statements (46)

Predicate Object
instanceOf book chapter
literary work
scientific text
author Ronald Aylmer Fisher NERFINISHED
countryOfOrigin United Kingdom
discusses choice of appropriate transformation
effects of transformation on additivity
improvement of statistical analysis
interpretation of transformed scales
logarithmic transformations
making distributions more nearly normal
mathematical modification of data
power transformations
reciprocal transformations
square-root transformations
stabilizing error variance
transformations for count data
transformations for percentage data
transformations for skewed data
transformations to meet model assumptions
field biometry
experimental design
statistics
genre academic writing
statistical methodology
hasPurpose to enhance efficiency of estimation
to facilitate valid inference
to improve conformity to statistical models
to simplify the structure of experimental error
influenced applied statistics practice
design and analysis of experiments
teaching of data transformation techniques
inWorkBy R. A. Fisher NERFINISHED
language English
mainTopic analysis of variance
data transformation
experimental data
normality of errors
statistical assumptions
variance stabilization
mentions additivity of effects
analysis of variance tables
error terms
heteroscedasticity
partOf The Design of Experiments NERFINISHED
publicationMedium printed book

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

The Design of Experiments hasNotableChapter The Transformation of Data