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Discrete-Valued Time Series
The analysis and modeling of time series has been an active research area for more than 100 years, with the main focus on time series having a continuous range consisting of real numbers or real vectors. It took until the 1980s for the first papers on discrete-valued time series to appear. In the 2000s, a rapid increase in research activity was noted, but only in the last few years was a certain maturity and consolidation of the area of discrete-valued time series observed. This reprint is a collection of articles on a wide range of topics on discrete-valued time series (especially count time series), covering stochastic models and methods for their analysis, univariate and multivariate time series, applications of time series methods to risk analysis, statistical process control, and many more. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
Time Series Modelling
The analysis and modeling of time series is of the utmost importance in various fields of application. This Special Issue is a collection of articles on a wide range of topics, covering stochastic models for time series as well as methods for their analysis, univariate and multivariate time series, real-valued and discrete-valued time series, applications of time series methods to forecasting and statistical process control, and software implementations of methods and models for time series. The proposed approaches and concepts are thoroughly discussed and illustrated with several real-world data examples.
Interpreting Interreligious Relations with Wittgenstein: Philosophy, Theology and Religious Studies
This volume argues that Wittgenstein’s philosophy of religion and his thought in general continue to be highly relevant for present and future research on interreligious relations.
An Introduction to Discrete-Valued Time Series
A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, economics, computer science, epidemiology, finance, manufacturing and meteorology, to name just a few. Despite growing interest in discrete-valued time series—especially those arising from counting specific objects or events at specified times—most books on time series give short shrift to that increasingly important subject area. This book seeks to rectify that state of affairs by providing a much needed introduction to discrete-valued time series, with particular focus on count-data time s...
Cross-Cultural Paul
The apostle Paul was a cross-cultural missionary, a Hellenistic Jew who sought to be "all things to all people" in order to win them to the gospel. In this provocative book Charles Cosgrove, Herold Weiss, and K. K. Yeo bring Paul into conversation with six diverse cultures of today: Argentine/Uruguayan, Anglo-American, Chinese, African American, Native American, and Russian. No other book on the apostle Paul looks at his thought from multiple cultural perspectives in the way that this one does. From the introduction outlining the authors' cultural backgrounds to the conclusion drawing together what they learn from each other, Cross-Cultural Paul orients readers to the hermeneutical struggles and rewards of approaching texts cross-culturally.
