{"product_id":"design-of-experiments-for-generalized-linear-models-1","title":"Design of Experiments for Generalized Linear Models","description":"\u003cp\u003eGeneralized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM, little information is available on how to collect the data that are to be analysed in this way.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis is the first book focusing specifically on the design of experiments for GLMs. Much of the research literature on this topic is at a high mathematical level, and without any information on computation. This book explains the motivation behind various techniques, reduces the difficulty of the mathematics, or moves it to one side if it cannot be avoided, and gives examples of how to write and run computer programs using R. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eThe generalisation of the linear model to GLMs\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e\n\u003cli\u003eBackground mathematics, and the use of constrained optimisation in R\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e\n\u003cli\u003eCoverage of the theory behind the optimality of a design\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e\u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eIndividual chapters on designs for data that have Binomial or Poisson distributions\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e\n\u003cli\u003eBayesian experimental design\u003c\/li\u003e\n\u003cli\u003e\n\u003cbr\u003e\u003cbr\u003e \u003c\/li\u003e\n\u003cli\u003eAn online resource contains R programs used in the book\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is aimed at readers who have done elementary differentiation and understand minimal matrix algebra, and have familiarity with R. It equips professional statisticians to read the research literature. Nonstatisticians will be able to design their own experiments by following the examples and using the programs provided.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":54237576069464,"sku":"9781032094052","price":55.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781032094052_6e9355cd-3139-47a0-989e-697b713b4eee.jpg?v=1778817689","url":"https:\/\/agendabookshop.com\/products\/design-of-experiments-for-generalized-linear-models-1","provider":"Agenda Bookshop","version":"1.0","type":"link"}