Description: This paper addresses the fuzziness in regression models. The goal is to present a test procedure to explicitly examine whether an independent variable has a clear functional relationship with the dependent variable in a specific regression model, or whether their relationship is fuzzy. To this end, the authors interpret the spread of the regression coefficients as a statistic measuring the fuzziness of the relationship between the corresponding independent variable and the dependent variable. They then derive test distributions based on the null hypothesis that such spreads could have been obtained with data generated by a classical regression model with random errors. The analysis is presented in conceptual rather than technical terms.

Description: The note begins with a short overview of key characteristics of a modern tontine. This is followed by a representation of a tontine flowchart that explicitly displays the components of a tontine and their relationships. The remainder of the note discusses the specifics of those components, including: the valuation and buy-in module, the active life test, settlement options, and periodic payments.

Description: This article comments on the editorial policies of the Actuarial Research Clearing House publication.

Description: This article provides an overview of three diverse fuzzy logic methodologies that can be employed to compute the value-at-risk of a portfolio.

Description: editorial policy for ARCH

Description: This abstract describes a paper that presents preliminary observations with respect to probabilistic fuzzy systems.

Description: It has been twenty years since DeWit 1982 first applied fuzzy logic FL to insurance. That article sought to quantify the fuzziness in underwriting. Since then, the universe of discourse has expanded considerably and now the FL methodologies include used fuzzy set theory, fuzzy numbers and fuzzy arithmetic, fuzzy inference systems, fuzzy clustering algorithms, fuzzy linear programming, fuzzy regression, and hybrids involving other soft computing technologies. This article presents an overview of these studies.

Description: This is the abstract for the study that focuses on the fuzziness in regression models.

Description: These are thte editor's comments in the 2011 edition of ARCH.

Description: This paper presents some preliminary observations from a study that investigates and models the fuzziness inherent in post-retirement financial strategies. From Actuarial Research Clearing House, 2011.