@book{Kleinhans1993, author = {Kleinhans, Martha}, title = {"Lucidere vault tant a dire comme donnant lumiere" : Untersuchung und Edition der Prosaversionen 2, 4 und 5 des Elucidarium}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-54488}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {1993}, abstract = {No abstract available}, subject = {Romanistik}, language = {de} } @book{MuellerBrandeckBocquet2013, author = {M{\"u}ller-Brandeck-Bocquet, Gisela}, title = {"Was vom europ{\"a}ischen Projekt {\"u}brigbleibt... Zerfall oder Neustart?"}, doi = {10.25972/OPUS-1482}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-83565}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {2013}, abstract = {Die Europ{\"a}ische Union befindet sich derzeit in einer sehr ernsten Krise; ein Scheitern des europ{\"a}ischen Projekts, das bislang in der konstant voranschreitenden Vertiefung und Erweiterung der Integrationsgemeinschaft bestand, ist nicht mehr kategorisch auszuschließen. Es zeichnet sich ein Auseinanderdriften von EU und Euro-Zone ab. Der Beitrag argumentiert, dass die zahlreichen und weitreichenden Maßnahmen, die in den letzten drei Jahren zur Rettung des Euro ergriffen wurden, die W{\"a}hrungsgemeinschaft substantiell gest{\"a}rkt und weiter zusammengeschmiedet haben. Dabei wird auch die besondere Rolle, die Deutschland in diesem Reformprozess spielt, behandelt. Perspektivisch stellt sich die Frage, ob ein „Eurozonen-Kerneuropa" entstehen kann, das den Einigungsprozess zukunftsfest zu machen verm{\"o}chte. Ein Neustart im Rahmen von „Eurozonen-Kerneuropa" br{\"a}chte f{\"u}r die EU der 28+ Mitgliedstaaten Zerfallsgefahren mit sich, die vor allem f{\"u}r die sogenannten Pre-Ins dramatisch sein k{\"o}nnten. Doch liegt in solch einem Neustart, der einer wahrhaftigen Herkulesaufgabe gleichk{\"a}me, vielleicht die einzige {\"U}berlebenschance des Integrationsgedankens.}, subject = {Internationale Politik}, language = {de} } @book{Hahn2002, author = {Hahn, Barbara}, title = {50 Jahre Shopping Center in den USA - Evolution und Marktanpassung}, publisher = {L.I.S. Verlag}, address = {Passau}, isbn = {978-3-932820-24-3}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-174393}, publisher = {Universit{\"a}t W{\"u}rzburg}, pages = {191}, year = {2002}, abstract = {Shopping Center sind eine Gruppe von Gesch{\"a}ften, die als Einheit geplant, gebaut und gemanagt wird. Lage, Zahl und Art der Gesch{\"a}fte sind abh{\"a}ngig von der Gr{\"o}ße des Einzugsgebiets, das es versorgt. Die ersten Shopping Center wurden in den USA in den 1920er Jahren gebaut, aber zun{\"a}chst nur an relativ wenigen Orten kopiert. Erst seit den 1950er Jahren er{\"o}ffneten in rascher Folge immer mehr Shopping Center, die zudem auch immer gr{\"o}ßer wurden. Standort war vor allem der suburbane Raum. Ende der 1990er Jahre gab es in den USA ca. 44.000 Shopping Center in denen mehr als die H{\"a}lfte des Einzelhandelsumsatzes des Landes erwirtschaftet wurde. Im Laufe der Jahrzehnte mussten sich die Shopping Center st{\"a}ndig dem Markt anpassen, um dem enormen Konkurrenzdruck und den sich wandelnden Anspr{\"u}chen der Konsumenten gerecht zu werden. Seit Mitte der 1970er Jahre sind v{\"o}llig neue Typen von Shopping Centern, wie Factory Outlet Center, Value Center, Power Center, Urban Entertainment Center und Hybrid Center entstanden. Die neuen Typen von Shopping Centern stehen im Mittelpunkt des Bandes. Außerdem wird hinterfragt, ob die US-amerikanische Entwicklung zeitversetzt auch in Deutschland stattfinden wird. Auch hier m{\"u}ssen sich die Shopping Center dem Markt anpassen, allerdings sind die Rahmenbedingungen andere. Da derzeit bei uns die Ansiedlung von Factory Outlet Centern nach amerikanischen Vorbild kontr{\"a}r diskutiert wird, schenkt die Autorin diesen und ihrem hiesigen Entwicklungspotenzial besondere Aufmerksamkeit.}, subject = {USA}, language = {de} } @book{FalkMarohnMicheletal.2011, author = {Falk, Michael and Marohn, Frank and Michel, Ren{\´e} and Hofmann, Daniel and Macke, Maria and Tewes, Bernward and Dinges, Peter and Spachmann, Christoph and Englert, Stefan}, title = {A First Course on Time Series Analysis : Examples with SAS}, organization = {Universit{\"a}t W{\"u}rzburg / Lehrstuhl f{\"u}r Statistik}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-56489}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {2011}, abstract = {The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration usually is not an integral part of mathematics studies, but it will certainly be part of a future professional work. The present book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. Consequently this book addresses students of statistics as well as students of other branches such as economics, demography and engineering, where lectures on statistics belong to their academic training. But it is also intended for the practician who, beyond the use of statistical tools, is interested in their mathematical background. Numerous problems illustrate the applicability of the presented statistical procedures, where SAS gives the solutions. The programs used are explicitly listed and explained. No previous experience is expected neither in SAS nor in a special computer system so that a short training period is guaranteed. This book is meant for a two semester course (lecture, seminar or practical training) where the first three chapters can be dealt within the first semester. They provide the principal components of the analysis of a time series in the time domain. Chapters 4, 5 and 6 deal with its analysis in the frequency domain and can be worked through in the second term. In order to understand the mathematical background some terms are useful such as convergence in distribution, stochastic convergence, maximum likelihood estimator as well as a basic knowledge of the test theory, so that work on the book can start after an introductory lecture on stochastics. Each chapter includes exercises. An exhaustive treatment is recommended. Chapter 7 (case study) deals with a practical case and demonstrates the presented methods. It is possible to use this chapter independent in a seminar or practical training course, if the concepts of time series analysis are already well understood. This book is consecutively subdivided in a statistical part and an SAS-specific part. For better clearness the SAS-specific parts are highlighted. This book is an open source project under the GNU Free Documentation License.}, subject = {Zeitreihenanalyse}, language = {en} } @book{FalkMarohnMicheletal.2005, author = {Falk, Michael and Marohn, Frank and Michel, Ren{\´e} and Hofmann, Daniel and Macke, Maria and Tewes, Bernward and Dinges, Peter}, title = {A First Course on Time Series Analysis : Examples with SAS}, organization = {Universit{\"a}t W{\"u}rzburg / Lehrstuhl f{\"u}r Statistik , Universit{\"a}t Eichst{\"a}tt/Rechenzentrum}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-12593}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {2005}, abstract = {The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration usually is not an integral part of mathematics studies, but it will certainly be part of a future professional work. The present book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS Statistical Analysis System). Consequently this book addresses students of statistics as well as students of other branches such as economics, demography and engineering, where lectures on statistics belong to their academic training. But it is also intended for the practician who, beyond the use of statistical tools, is interested in their mathematical background. Numerous problems illustrate the applicability of the presented statistical procedures, where SAS gives the solutions. The programs used are explicitly listed and explained. No previous experience is expected neither in SAS nor in a special computer system so that a short training period is guaranteed. This book is meant for a two semester course (lecture, seminar or practical training) where the first two chapters can be dealt with in the first semester. They provide the principal components of the analysis of a time series in the time domain. Chapters 3, 4 and 5 deal with its analysis in the frequency domain and can be worked through in the second term. In order to understand the mathematical background some terms are useful such as convergence in distribution, stochastic convergence, maximum likelihood estimator as well as a basic knowledge of the test theory, so that work on the book can start after an introductory lecture on stochastics. Each chapter includes exercises. An exhaustive treatment is recommended. This book is consecutively subdivided in a statistical part and an SAS-specific part. For better clearness the SAS-specific part, including the diagrams generated with SAS, always starts with a computer symbol, representing the beginning of a session at the computer, and ends with a printer symbol for the end of this session. This book is an open source project under the GNU Free Documentation License.}, subject = {Zeitreihenanalyse}, language = {en} } @book{FalkMarohnMicheletal.2006, author = {Falk, Michael and Marohn, Frank and Michel, Ren{\´e} and Hofmann, Daniel and Macke, Maria and Tewes, Bernward and Dinges, Peter}, title = {A First Course on Time Series Analysis : Examples with SAS}, organization = {Universit{\"a}t W{\"u}rzburg / Lehrstuhl f{\"u}r Statistik}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-16919}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {2006}, abstract = {The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration usually is not an integral part of mathematics studies, but it will certainly be part of a future professional work. The present book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS Statistical Analysis System). Consequently this book addresses students of statistics as well as students of other branches such as economics, demography and engineering, where lectures on statistics belong to their academic training. But it is also intended for the practician who, beyond the use of statistical tools, is interested in their mathematical background. Numerous problems illustrate the applicability of the presented statistical procedures, where SAS gives the solutions. The programs used are explicitly listed and explained. No previous experience is expected neither in SAS nor in a special computer system so that a short training period is guaranteed. This book is meant for a two semester course (lecture, seminar or practical training) where the first two chapters can be dealt with in the first semester. They provide the principal components of the analysis of a time series in the time domain. Chapters 3, 4 and 5 deal with its analysis in the frequency domain and can be worked through in the second term. In order to understand the mathematical background some terms are useful such as convergence in distribution, stochastic convergence, maximum likelihood estimator as well as a basic knowledge of the test theory, so that work on the book can start after an introductory lecture on stochastics. Each chapter includes exercises. An exhaustive treatment is recommended. This book is consecutively subdivided in a statistical part and an SAS-specific part. For better clearness the SAS-specific part, including the diagrams generated with SAS, always starts with a computer symbol, representing the beginning of a session at the computer, and ends with a printer symbol for the end of this session. This book is an open source project under the GNU Free Documentation License.}, subject = {Zeitreihenanalyse}, language = {en} } @book{FalkMarohnMicheletal.2012, author = {Falk, Michael and Marohn, Frank and Michel, Ren{\´e} and Hofmann, Daniel and Macke, Maria and Spachmann, Christoph and Englert, Stefan}, title = {A First Course on Time Series Analysis : Examples with SAS [Version 2012.August.01]}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-72617}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {2012}, abstract = {The analysis of real data by means of statistical methods with the aid of a software package common in industry and administration usually is not an integral part of mathematics studies, but it will certainly be part of a future professional work. The present book links up elements from time series analysis with a selection of statistical procedures used in general practice including the statistical software package SAS. Consequently this book addresses students of statistics as well as students of other branches such as economics, demography and engineering, where lectures on statistics belong to their academic training. But it is also intended for the practician who, beyond the use of statistical tools, is interested in their mathematical background. Numerous problems illustrate the applicability of the presented statistical procedures, where SAS gives the solutions. The programs used are explicitly listed and explained. No previous experience is expected neither in SAS nor in a special computer system so that a short training period is guaranteed. This book is meant for a two semester course (lecture, seminar or practical training) where the first three chapters can be dealt within the first semester. They provide the principal components of the analysis of a time series in the time domain. Chapters 4, 5 and 6 deal with its analysis in the frequency domain and can be worked through in the second term. In order to understand the mathematical background some terms are useful such as convergence in distribution, stochastic convergence, maximum likelihood estimator as well as a basic knowledge of the test theory, so that work on the book can start after an introductory lecture on stochastics. Each chapter includes exercises. An exhaustive treatment is recommended. Chapter 7 (case study) deals with a practical case and demonstrates the presented methods. It is possible to use this chapter independent in a seminar or practical training course, if the concepts of time series analysis are already well understood. This book is consecutively subdivided in a statistical part and an SAS-specific part. For better clearness the SAS-specific parts are highlighted. This book is an open source project under the GNU Free Documentation License.}, subject = {Zeitreihenanalyse}, language = {en} } @book{Ruhe1990, author = {Ruhe, Ernstpeter}, title = {Aim{\´e} C{\´e}saire et Janheinz Jahn. Les d{\´e}buts du th{\´e}{\^a}tre c{\´e}sairien. La nouvelle version de "Et les chiens se taisaient".}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-36694}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {1990}, abstract = {No abstract available}, language = {fr} } @book{JobFliessbachSchendzielorzBittlingmaieretal.2019, author = {Job, Hubert and Fließbach-Schendzielorz, Maike and Bittlingmaier, Sarah and Herling, Anne and Woltering, Manuel}, title = {Akzeptanz der bayerischen Nationalparks - Ein Beitrag zum sozio{\"o}konomischen Monitoring in den Nationalparks Bayerischer Wald und Berchtesgaden}, edition = {1. Auflage}, publisher = {W{\"u}rzburg University Press}, address = {W{\"u}rzburg}, isbn = {978-3-95826-102-0}, issn = {0510-9833}, doi = {10.25972/WUP-978-3-95826-103-7}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-171246}, publisher = {W{\"u}rzburg University Press}, pages = {XI, 149}, year = {2019}, abstract = {Nationalparks sind das {\"a}lteste und bekannteste fl{\"a}chenbezogene Naturschutzinstrument weltweit. F{\"u}r den Erhalt einer nachhaltigen Lebensgrundlage und die Entwicklung der Biodiversit{\"a}t sowie f{\"u}r mehr Naturdynamik in der Landschaft haben sie eine sehr große Bedeutung, auch in unseren Breiten. Dennoch ist die Einstellung zu Nationalparks von Seiten der unmittelbaren Anwohner nicht immer unproblematisch. Entsprechend versucht die vorliegende wissenschaftliche Analyse neue Erkenntnisse bez{\"u}glich der Akzeptanz der Nationalparks Bayerischer Wald und Berchtesgaden, den {\"a}ltesten Deutschlands, aufzuzeigen. Empirische Grundlagen f{\"u}r diese Studie sind eine bayernweite Online-Befragung, qualitative Experteninterviews und aufw{\"a}ndige repr{\"a}sentative schriftliche Befragungen in den Nationalpark-Landkreisen Regen und Freyung-Grafenau bzw. Berchtesgadener Land im Jahr 2018. Auch die zeitliche Entwicklung der Akzeptanz wird auf Basis der Ergebnisse von Vorg{\"a}ngerstudien, soweit m{\"o}glich, ber{\"u}cksichtigt. Dabei sind es {\"o}konomische, emotionale, interpersonelle, soziokulturelle und nicht zuletzt f{\"u}r Geographen besonders interessante raumzeitliche Pr{\"a}diktoren der Akzeptanz beider Nationalparks, die im Fokus der Untersuchungen stehen.}, subject = {Nationalpark Bayerischer Wald}, language = {de} } @book{Ruhe1990, author = {Ruhe, Ernstpeter}, title = {Algerien-Bibliographie. Publikationen aus der Bundesrepublik Deutschland, {\"O}sterreich und der Schweiz 1962-1989}, isbn = {3-447-03039-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-38183}, publisher = {Universit{\"a}t W{\"u}rzburg}, year = {1990}, abstract = {No abstract available}, subject = {Algerien}, language = {de} }