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Quantitative methods (economics) --- Regression analysis. --- Economics --- Economic statistics --- Econometrics --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Statistical methods.

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The purpose of this book is to introduce the reader to mechanisms useful for detection and avoidance of money-laundering activities (MLAs) and terrorist financing and suggest improvements to existing MLAs where appropriate. Money laundering may occur in every country. The significant factor is to diagnose the illegal MLA and apply regulations to mitigate them. To meet this objective, managers of financial institutions need to train their employees about anti-money laundering (AML) processes and how to diagnose and prevent money laundering. AML activities can also affect the financial systems of a country. "Money laundering destabilizes the foundation of a nation's financial system by reducing tax revenues and impeding fair competition by ultimately disrupting economic development" (World Compliance, 2008). MLAs can create a big gap between income classes. Money laundering can also decrease banks' or financial institutions' credibility. "In practice, criminals are trying to disguise the origins of money obtained through illegal activities so that it looks like it was obtained from legal sources" (Layton, 2005). This book may be of special interest to financial managers in the private and public sector. It also may be a useful guide for those involved in international financial transactions.

Money laundering. --- Terrorism --- Finance. --- logistic regression --- model building --- model diagnostics --- multiple regression --- regression model --- simple linear regression --- statistical inference --- time series regression

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Georg Zimmermann provides a mathematically rigorous treatment of basic survival analytic methods. His emphasis is also placed on various questions and problems, especially with regard to life expectancy calculations arising from a particular real-life dataset on patients with epilepsy. The author shows both the step-by-step analyses of that dataset and the theory the analyses are based on. He demonstrates that one may face serious and sometimes unexpected problems, even when conducting very basic analyses. Moreover, the reader learns that a practically relevant research question may look rather simple at first sight. Nevertheless, compared to standard textbooks, a more detailed account of the theory underlying life expectancy calculations is needed in order to provide a mathematically rigorous framework. Contents Regression Models for Survival Data Model Checking Procedures Life Expectancy Target Groups Researchers, lecturers, and students in the fields of mathematics and statistics Academics and experts working in the life sciences, especially in the medical field The Author Georg Zimmermann is a PhD student at the University of Salzburg and research associate at Christian-Doppler-Klinik, Salzburg.

Regression analysis. --- Survival analysis (Biometry) --- Analysis, Survival (Biometry) --- Survivorship analysis (Biometry) --- Analysis, Regression --- Linear regression --- Regression modeling --- Mathematics. --- Probabilities. --- Biomathematics. --- Probability Theory and Stochastic Processes. --- Mathematical and Computational Biology. --- Biometry --- Failure time data analysis --- Multivariate analysis --- Structural equation modeling --- Distribution (Probability theory. --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Biology --- Mathematics --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk