Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.

A multidisciplinary examination of the forms taken by withdrawal. What forms does withdrawal—meaning either that which withdraws itself or which is being withdrawn—take in artistic and cultural practices? What movements does it create or follow in specific contexts, and with what theoretical, material, and political consequences? The contributors to this book address these questions in a variety of writing practices, each focusing on specific scenes.   Through interviews, artistic and literary texts, visual contributions, and academic texts, On Withdrawal explores various modalities of withdrawal, ranging from a silencing of critical voices to a political and aesthetic strategy of refusal. Contributors: Arnika Ahldag, Sofia Bempeza, Lauren Berlant, Kathrin Busch, Helen Cammock, Knut Ebeling, Sebastián Eduardo Dávila, Mutlu Ergün-Hamaz, Stefanie Graefe, Rebecca Hanna John, Ulrike Jordan, Pinar Ögrenci, Pallavi Paul, Thorsten Schneider, Judith Sieber, Diana Taylor, Deniz Utlu, Marivi Véliz, Nele Wulff, and Akram Zaatari  

Overhead cranes are a vital part of many manufacturing plants. They are versatile, provide high load capacity, and are relatively inexpensive. They are not easy to automate, however, and their swing dynamics requires a skilled operator for fast, precise operation. The discussed project uses machine vision and PLC control technology to continue the progress in this area made by previous scholars. The vision system is used for detecting the position of the hook from the top of the cable. It can also be used for identifying the desired target position for the hook by observing targets on the floor and on the objects to be hoisted. The motion of the top of the cable must be controlled in three directions, including height. The two horizontal motions are particularly important for controlling the swing of the cable. The command shaping algorithms have been used in the past for similar applications and will again be used here. The improvement of the machine vision system is a part of the project to automate an overhead crane. The project's goal is to obtain reliable, real-time coordinate information about the crane hook and its environment.