Discover the power of mixed models with JMP and JMP Pro.
Mixed models are now the mainstream method of choice for analyzing
experimental data. Why? They are arguably the most straightforward and
powerful way to handle correlated observations in designed
experiments. Reaching well beyond standard linear models, mixed models
enable you to make accurate and precise inferences about your
experiments and to gain deeper understanding of sources of signal and
noise in the system under study. Well-formed fixed and random effects
generalize well and help you make the best data-driven decisions.
_JMP for Mixed Models_ brings together two of the strongest traditions
in SAS software: mixed models and JMP. JMP’s groundbreaking
philosophy of tight integration of statistics with dynamic graphics is
an ideal milieu within which to learn and apply mixed models, also
known as hierarchical linear or multilevel models. If you are a
scientist or engineer, the methods described herein can revolutionize
how you analyze experimental data without the need to write code.
Inside you’ll find a rich collection of examples and a step-by-step
approach to mixed model mastery. Topics include:
* Learning how to appropriately recognize, set up, and interpret
fixed and random effects
* Extending analysis of variance (ANOVA) and linear regression to
numerous mixed model designs
* Understanding how degrees of freedom work using Skeleton ANOVA
* Analyzing randomized block, split-plot, longitudinal, and repeated
measures designs
* Introducing more advanced methods such as spatial covariance and
generalized linear mixed models
* Simulating mixed models to assess power and other important
sampling characteristics
* Providing a solid framework for understanding statistical modeling
in general
* Improving perspective on modern dilemmas around Bayesian methods,
p-values, and causal inference
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Produktdetaljer
ISBN
9781951684037
Publisert
2021
Utgiver
Vendor
SAS Institute
Språk
Product language
Engelsk
Format
Product format
Digital bok