ANOVA and mixed models

by Lukas Meier | 04 November 2022
Hardback
Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates
€189.00
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Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates
In stock online
Extended Range: Delivery in 2-3 working days
Free delivery on this item
567 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

€189.00
In stock online
Extended Range: Delivery in 2-3 working days
Free delivery on this item
567 Reward Points

Any purchases for more than €10 are eligible for free delivery anywhere in the UK or Ireland!

Product Description

Features Accessible to readers with a basic background in probability and statistics Covers fundamental concepts of experimental design and cause-effect relationships Introduces classical ANOVA models, including contrasts and multiple testing Provides an example-based introduction to mixed models Features basic concepts of split-plot and incomplete block designs R code available for all steps Supplementary website with additional resources and updates

Product Details

ISBN9780367704223

FormatHardback

PublisherCHAPMAN & HALL/CRC (04 November. 2022)

No. of Pages200

Weight426

Language English

Dimensions 234 x 163 x 18

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