A Data Mining Approach: Application to the Extraction of the Characteristics of IARD Products in the Insurance Sector
Nora MOSBAH LOUNICI1, Khadidja SADI2 and Nadjib LOUNICI3
1. High National School of Statistics and Applied Economics ENSSEA, Universities of Kolea, Algeria. Laboratory of applied statistics
2. High National School of Statistics and Applied Economics ENSSEA, Universities of Kolea, Algeria. Laboratory of applied statistics
3. School of Commercial High Studies.
Abstract: In this study, we were interested to multirisk home products (MH) and professional multirisk (MP) of the branch IARD insurance, which covers fire, accidents and various risks of an Algerian insurance company (SAA). We want to know the variables that best characterize each of the two products. To solve this problem, we have combined three methods borrowed from Data Mining and decisional statistics. The use of data mining tools to realize a classification and to bring out the most informative variables is usual tasks of this discipline. The aim of this work is to extract knowledge from an actuarial database by adopting an approach to data mining and to compare the results obtained by querying three techniques, implemented in data mining software: TANAGRA.
Keywords: Data mining, Insurance IARD, Regression, Step Disk, V-test.
Pages: 311 – 321 | Full PDF Paper
Modeling the Effects of Interference in Fertility Rate of Kenya
Odero Everlyne Akoth
Department of Mathematics, Masinde Muliro University of Science and Technology, P.O Box 190-50100, Kakamega, Kenya.
Abstract: Many studies have been done on fertility for many years. However, very little has been documented in the existing literature concerning modeling of fertility in the presence of interference, yet interference to fertility is a common phenomenon. In this study fertility data sets for Kenya were modeled both before and after interference. The parameters of the model were estimated by the maximum likelihood estimation method. Using Akaike’s Information Criteria, (AIC), it was established that amongst the distributions fitted; Gamma, Weibull and Lognormal, Gamma gave the best fit for the Kenya fertility rate data and interference simply shifts the Gamma distribution parameters. The result of this study would help Governments to understand fully the effect of interference on fertility rate and plan for it. Demographers would also benefit from this study since it can be used to project population growth after an interference.
Keywords: Fertility, Interference and Kenya.
Pages: 322 – 334 | Full PDF Paper
Asymptotically Lacunary Statistical Equivalent Sequence Spaces Defined by Ideal Convergence and an Orlicz Function
Mahmut Karakuş1 and Tunay Bilgin2
1. Yüzüncü Yıl University, Science Faculty, Department of Mathematics. email@example.com.
2. Yüzüncü Yıl University, Education Faculty, Department of Mathematics. firstname.lastname@example.org.
Abstract: In this study, we introduce the concepts asymptotically IpM-lacunary equivalence with order α, and asymptotically IM-lacunary statistical equivalence with order α by using a non-trivial ideal I, an Orlicz function M, and a sequence of positive real numbers p = (pk). In addition to these definitions, natural inclusion theorems where presented.
Keywords: Asymptotically equivalence, Ideal convergence, Lacunary sequence, Orlicz function
Pages: 335 – 351 | Full PDF Paper