{"product_id":"ten-projects-in-applied-statistics-9783031142741","title":"Ten Projects in Applied Statistics","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThe 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. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 412 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 05 February 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe 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.\u003cbr\u003e\u003cbr\u003eTo 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.\u003cbr\u003e\u003cbr\u003eThe 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.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 811g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031142741\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Peter McCullagh","offers":[{"title":"Hardback","offer_id":44270961066234,"sku":"9783031142741","price":108.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_33245c49-8dc2-463d-a4df-42fa9a7fe16b.jpg?v=1686154996","url":"https:\/\/shulphink.com\/products\/ten-projects-in-applied-statistics-9783031142741","provider":"Shulph Ink","version":"1.0","type":"link"}