Peter McCullagh
Ten Projects in Applied Statistics
Ten Projects in Applied Statistics
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- More about Ten Projects in Applied Statistics
The book "Statistics for Spatial and Temporal Data" is a comprehensive guide for quantitative research workers in biology, medicine, ecology, and genetics. It covers statistical principles, models, and applications, with a focus on real-world statistical problems and variance-components models. Chapter 11 defines fundamental concepts and discusses compatibility with randomization schemes.
Format: Hardback
Length: 412 pages
Publication date: 05 February 2023
Publisher: Springer International Publishing AG
The book is a comprehensive resource for quantitative research workers in biology, medicine, ecology, and genetics, as well as graduate students in statistics, biostatistics, and other quantitative disciplines. It provides a principled approach to real-world statistical problems, showcasing ten detailed examples that demonstrate how the author addresses complex issues with adequate compromise and flexibility. A recurring theme throughout the book is the need to accommodate correlations associated with space, time, and other relationships, which is why variance-components models are prominently featured.
To illustrate statistical pitfalls, examples are taken from the recent scientific literature, providing practical insights into the challenges and considerations involved in statistical analysis. Chapter 11 serves as a foundational chapter for the second half of the book and for the book as a whole. It defines fundamental concepts such as baseline, observational unit, experimental unit, covariates and relationships, randomization, treatment assignment, and their role in model formulation. Compatibility of the model with the randomization scheme is emphasized as a crucial aspect.
The effect of treatment is modeled as a group action on probability distributions, and technical matters related to space-time covariance functions, residual likelihood, likelihood ratios, and transformations are discussed in later chapters. The book offers a comprehensive coverage of statistical concepts and methodologies, making it an invaluable resource for researchers and practitioners in the fields of biology, medicine, ecology, and genetics.
Weight: 811g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031142741
Edition number: 1st ed. 2022
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