3914924Bootstrap Methodshttps://www.gandhi.com.mx/bootstrap-methods-9783030734800/phttps://gandhi.vtexassets.com/arquivos/ids/3452008/c1a4695e-f525-4042-8ef5-8bd03a9c082e.jpg?v=63838539364217000015401711MXNSpringer International PublishingInStock/Ebooks/This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics....3847831Bootstrap Methods15401711https://www.gandhi.com.mx/bootstrap-methods-9783030734800/phttps://gandhi.vtexassets.com/arquivos/ids/3452008/c1a4695e-f525-4042-8ef5-8bd03a9c082e.jpg?v=638385393642170000InStockMXN99999DIEbook20219783030734800_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_This book provides a compact introduction to the bootstrap method. In addition to classical results on point estimation and test theory, multivariate linear regression models and generalized linear models are covered in detail. Special attention is given to the use of bootstrap procedures to perform goodness-of-fit tests to validate model or distributional assumptions. In some cases, new methods are presented here for the first time.The text is motivated by practical examples and the implementations of the corresponding algorithms are always given directly in R in a comprehensible form. Overall, R is given great importance throughout. Each chapter includes a section of exercises and, for the more mathematically inclined readers, concludes with rigorous proofs. The intended audience is graduate students who already have a prior knowledge of probability theory and mathematical statistics.9783030734800_Springer International Publishinglibro_electonico_5fd16d27-7e65-35e6-ad57-3e4f24405f83_9783030734800;9783030734800_9783030734800Marsel ScheerInglésMéxico2021-08-10T00:00:00+00:00Springer International Publishing