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Analysis of Messy Data
Language: en
Pages: 216
Authors: George A. Milliken
Categories: Mathematics
Type: BOOK - Published: 1989-05-15 - Publisher: CRC Press

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Researchers often do not analyze nonreplicated experiments statistically because they are unfamiliar with existing statistical methods that may be applicable. A
Analysis of Messy Data, Volume III
Language: en
Pages: 625
Authors: George A. Milliken
Categories: Mathematics
Type: BOOK - Published: 2001-08-29 - Publisher: CRC Press

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Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are mea
Analysis of Messy Data
Language: en
Pages: 498
Authors: George A. Milliken
Categories: Mathematics
Type: BOOK - Published: 1993-05-15 - Publisher: CRC Press

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This classic reference details methods for effectively analyzing non-standard or messy data sets. The authors introduce each topic with examples, follow up with
Practical Data Analysis for Designed Experiments
Language: en
Pages: 452
Authors: Brian S. Yandell
Categories: Mathematics
Type: BOOK - Published: 2017-11-22 - Publisher: Routledge

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Placing data in the context of the scientific discovery of knowledge through experimentation, Practical Data Analysis for Designed Experiments examines issues o
R for Data Science
Language: en
Pages: 521
Authors: Hadley Wickham
Categories: Computers
Type: BOOK - Published: 2016-12-12 - Publisher: "O'Reilly Media, Inc."

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R pac