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Two distinguished New Zealanders pioneered some of the foundations of modern econometrics. Alec Aitken, one of the most …
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Most of the banks' operational risk internal models are based on loss pooling in risk and business line categories. The parameters and outputs of operational risk models are sensitive to the pooling of the data and the choice of the risk classification. In a simple model, we establish the link...
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This book is the third volume of the Handbook of Computational Statistics and covers the field of Data Visualization. In line with the companion volumes, it contains a collection of chapters by experts in the field to present readers with an up-to-date and comprehensive overview of the state of...
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The mortality dynamics experienced in the latest decades, especially at adult and old ages, has motivated the introduction of major innovations in the modeling of mortality for actuarial applications; such innovations concern, in particular, the representation of the uncertainty relating to...
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From the early 1960s onwards, Arnold Zellner has been publishing papers in the areas of statistical theory, econometric applications and macroeconomic modelling. This conversation canvasses Zellner's transition from physics to economics, the reason for the renewal of interest in Bayes's theorem...
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The purpose of this article is to propose that we focus the teaching of the introductory statistics course not merely on the statistical tools to be studied, but on the scientific thinking that they engender. Students must be taught that science is based on the testing of theories and shown how...
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This quick note is intended to further inform the reader on the inherent flexibility of partial moments. We are not re-inventing a wheel. Conditional probability is conditional probability, nothing has changed. What we have uniquely done is represent the partial moment equivalences to these...
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Models can be wrong and recognising their limitations is important in financial and economic decision making under uncertainty. Robust strategies, which are least sensitive to perturbations of the underlying model, take uncertainty into account. Finding the explicit set of alternative models...
Persistent link: https://www.econbiz.de/10012936651