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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.
Concept - this is a key term in architectural discourse. However, all too often it is used imprecisely or merely for marketing purposes. What is a concept actually? This publication moves between design theory and design practice and follows the history of the definition of concept in architecture, leading to the formulation of a specifically instrumental and operative definition. It bases concept in architecture on its strategic potential in design decision-making processes. In the changing profession of the designing architect, decisions are increasingly made in multidisciplinary groups. Concept can serve as a dialogic instrument in the process, making it possible to process heterogeneous information from a range of spheres of knowledge. The effective presentation of selected information becomes a relevant interface in the design process, which has a significant influence on the quality of the design.