Dieter Schott – författare

What do we mean when we say that cities have altered humanity’s interaction with nature? The more people are living in cities, the more nature is said to be "urbanizing": turned into a resource, mobilized over long distances, controlled, transformed and then striking back with a vengeance as "natural disaster". Confronting insights derived from Environmental History, Science and Technology Studies or Political Ecology, Urbanizing Nature aims to counter teleological perspectives on the birth of modern "urban nature" as a uniform and linear process, showing how new technological schemes, new actors and new definitions of nature emerged in cities from the sixteenth to the twentieth century.

What do we mean when we say that cities have altered humanity’s interaction with nature? The more people are living in cities, the more nature is said to be "urbanizing": turned into a resource, mobilized over long distances, controlled, transformed and then striking back with a vengeance as "natural disaster". Confronting insights derived from Environmental History, Science and Technology Studies or Political Ecology, Urbanizing Nature aims to counter teleological perspectives on the birth of modern "urban nature" as a uniform and linear process, showing how new technological schemes, new actors and new definitions of nature emerged in cities from the sixteenth to the twentieth century.

The field of urban environmental history is a relatively new one, yet it is rapidly moving to the forefront of scholarly research and is the focus of much interdisciplinary work. Given the environmental problems facing the modern world it is perhaps unsurprising that historians, geographers, political, natural and social scientists should increasingly look at the environmental problems faced by previous generations, and how they were regarded and responded to. This volume reflects this growing concern, and reflects many of the key concerns and issues that are essential to our understanding of the problems faced by cities in the nineteenth and twentieth centuries. Addressing a variety of environmental issues, such as clean water supply, the provision/retention of green space, and noise pollution, that faced European and North American cities the essays in this volume highlight the common responses as well as the differences that characterised the reactions to these trans-national concerns.

Explores mathematical statistics in its entirety—from the fundamentals to modern methodsThis book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions.Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises includedPractice-oriented (taken from day-to-day statistical work of the authors)Includes further studies including design of experiments and sample sizingPresents and uses IBM SPSS Statistics 24 for practical calculations of dataMathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.

The field of urban environmental history is a relatively new one, yet it is rapidly moving to the forefront of scholarly research and is the focus of much interdisciplinary work. Given the environmental problems facing the modern world it is perhaps unsurprising that historians, geographers, political, natural and social scientists should increasingly look at the environmental problems faced by previous generations, and how they were regarded and responded to. This volume reflects this growing concern, and reflects many of the key concerns and issues that are essential to our understanding of the problems faced by cities in the nineteenth and twentieth centuries. Addressing a variety of environmental issues, such as clean water supply, the provision/retention of green space, and noise pollution, that faced European and North American cities the essays in this volume highlight the common responses as well as the differences that characterised the reactions to these trans-national concerns.

"Mathematische Statistik" hat wegen des großen Anwendungsbedarfes stetig an Attraktivität gewonnen - und auch theoretisch sind neue Ansätze entwickelt worden. Ein besonderer Schwerpunkt liegt auf der Versuchsplanung, die häufig gegenüber der Auswertung vernachlässigt wird. Unter konsequenter Berücksichtigung der Entwicklungen der letzten Jahrzehnte ist ein neues Buch entstanden. Kenntnisse in der Maßtheorie und der Wahrscheinlichkeitsrechnung sind hilfreich, aber nicht notwendig, da die Autoren die Materie leicht verständlich beschrieben haben.Ein Schwerpunkt liegt auf der Versuchsplanung, die zu oft vernachlässigt wird und oft neben der Auswertung benachteiligt ist. Konsequenterweise nimmt in diesem Buch die Planung des Stichprobenumfangs und die Beschreibung von Versuchsanlagen einen großen Raum ein - immer eingebettet in die passenden Auswertungsverfahren wie die Varianz- und Regressionsanalyse. Ein Muss für alle Natur- und Ingenieurwissenschaftler, die empirisch arbeiten und daneben auch an der Begründung der Methoden interessiert sind.