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In den WarenkorbPaperback. Zustand: Brand New. 434 pages. 9.21x6.14x1.06 inches. In Stock.
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Sprache: mehrsprachig
Verlag: Richter Verlag, Düsseldorf, 2002
ISBN 10: 3933807549 ISBN 13: 9783933807540
Anbieter: Antiquariat UEBUE, Zürich, Schweiz
Erstausgabe
Hardcover. Zustand: Sehr gut. Zustand des Schutzumschlags: Sehr gut. 1. Auflage. Z : 252 Seiten/pages, 132 Farbabbildungen/illustrations in color, 21 bw, 33 duotone - The Chinese public reacted with unusual resonance to Jurgen Partenheimer's exhibitions in Beijing and Nanjing. CrossMapping documents not only the work he installed outside Peking's forbidden city, but also the resulting interdisciplinary, cross-cultural dialogue between artists, philosphers, architects, art historians, and sinologists.
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Taschenbuch. Zustand: Neu. Statistical Analysis of Panel Count Data | Jianguo Sun (u. a.) | Taschenbuch | Statistics for Biology and Health | xv | Englisch | 2016 | Springer | EAN 9781493942077 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data.This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data.This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics.
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In den WarenkorbHardcover. Zustand: Brand New. 1st edition. 271 pages. 9.25x6.25x0.75 inches. In Stock.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 288 | Sprache: Englisch | Produktart: Bücher | Panel count data occur in studies that concern recurrent events, or event history studies, when study subjects are observed only at discrete time points. By recurrent events, we mean the event that can occur or happen multiple times or repeatedly. Examples of recurrent events include disease infections, hospitalizations in medical studies, warranty claims of automobiles or system break-downs in reliability studies. In fact, many other fields yield event history data too such as demographic studies, economic studies and social sciences. For the cases where the study subjects are observed continuously, the resulting data are usually referred to as recurrent event data. This book collects and unifies statistical models and methods that have been developed for analyzing panel count data. It provides the first comprehensive coverage of the topic. The main focus is on methodology, but for the benefit of the reader, the applications of the methods to real data are also discussed along with numerical calculations. There exists a great deal of literature on the analysis of recurrent event data. This book fills the void in the literature on the analysis of panel count data. This book provides an up-to-date reference for scientists who are conducting research on the analysis of panel count data. It will also be instructional for those who need to analyze panel count data to answer substantive research questions. In addition, it can be used as a text for a graduate course in statistics or biostatistics that assumes a basic knowledge of probability and statistics. .
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 352 | Sprache: Englisch | Produktart: Bücher | Cultural landscapes are a product of the interactions between humans and natural settings. They are landscapes and seascapes that are shaped by human history and land use. Socioeconomic processes especially, but also environmental changes and natural disturbances, are some of the forces that make up landscape dynamics. To understand and manage such complex landscapes, interdisciplinary and transdisciplinary approaches are necessary, emphasizing the integration of natural and social sciences and considering multiple landscape functions. The spatial patterns of Asian landscapes are strongly related to human activities and their impacts. Anthropogenic patterns and processes have created numerous traditional cultural landscapes throughout the region, and understanding them requires indigenous knowledge. Cultural landscape ecology from a uniquely Asian perspective is explored in this book, as are the management of landscapes and land-use policies. Human-dominated landscapes with long traditions, such as those described herein, provide useful information for all ecologists, not only in Asia, to better understand the human¿environmental relationship and landscape sustainability.
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Taschenbuch. Zustand: Neu. The Statistical Analysis of Interval-censored Failure Time Data | Jianguo Sun | Taschenbuch | Statistics for Biology and Health | xvi | Englisch | 2010 | Springer | EAN 9781441921925 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Zustand: Neu. Emerging Topics in Modeling Interval-Censored Survival Data | Jianguo Sun (u. a.) | Taschenbuch | ICSA Book Series in Statistics | xv | Englisch | 2023 | Springer | EAN 9783031123689 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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In den WarenkorbGebunden. Zustand: New. Is dedicated to models and methods specifically developed for interval-censored failure time dataThis book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the .
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Survival analysis, the analysis of failure time data, is a rapid developing area and a number of books on the topic have been published in last twenty-five years. However, all of these books deal with right-censored failure time data, not the analysis of interval-censored failure time data. Interval-censored data include right-censored data as a special case and occur in many fields. The analysis of interval-censored data is much more difficult than that of right-censored data because the censoring mechanism that yields interval censoring is more complicated than that for right censoring. This book collects and unifies statistical models and methods that have been proposed for analyzing interval-censored failure time data. It provides the first comprehensive coverage of the topic of interval-censored data and complements the books on right-censored data. A number of inference approaches are discussed in the book, including the maximum likelihood, estimating equations, sieve maximum likelihood, and conditional likelihood. One major difference between the analyses of right- and interval-censored data is that the theory of counting processes, which is responsible for substantial advances in the theory and development of modern statistical methods for right-censored data, is not applicable to interval-censored data. The focus of the book is on nonparametric and semiparametric inferences, but it also describes parametric and imputation approaches. In addition, Bayesian methods and the analysis of interval-censored data with informative interval censoring are considered as well as the analysis of interval-censored recurrent event, or panel count, data. This book provides an up-to-date reference for people who are conducting research on the analysis of interval-censored failure time data as well as for those who need to analyze interval-censored data to answer substantive questions. It can also be used as a text for a graduate course in statistics or biostatistics that assume a basic knowledge of probability and statistics.Jianguo (Tony) Sun is a professor at the Department of Statistics of the University of Missouri-Columbia. He has developed novel statistical methods for the analysis of interval-censored failure time data and panel count data over the last fifteen years.