Common mortality modeling and coherent forecasts. An empirical analysis of worldwide mortality data

A new common mortality modeling structure is presented for analyzing mortality dynamics for a pool of countries, under the framework of generalized linear models (GLM). The countries are first classified by fuzzy c-means cluster analysis in order to construct the common sparse age-period model structure for the mortality experience. Next, we propose a method to create the common sex difference age-period model structure and then use this to produce the residual age-periodmodel structure for each country and sex. The time related principal components are extrapolated using dynamic linear regression (DLR) models and coherent mortality forecasts are investigated. We make use of mortality data from the “Human Mortality Database”

Modeling trends in cohort survival probabilities

A new dynamic parametric model is proposed for analyzing the cohort survival function. A one-factor parameterized polynomial in age effects, complementary log-log link and multinomial cohort responses are utilized, within the generalized linear models (GLM) framework. Sparse Principal component analysis (SPCA) is then applied to cohort dependent parameter estimates and provides (marginal) estimates for a two-factor structure. Modeling the two-factor residuals in a similar way, in age-time effects, provides estimates for the three-factor age-cohort-period model. An application is presented for Sweden, Norway, England & Wales and Denmark mortality experience

The effects of matching students\u27 learning styles with the teacher\u27s learning styles.

This study verifies whether matching the students\u27 learning styles with their teachers\u27 learning styles can improve (1) achievement, (2) classroom behavior, and (3) student participation. Sixty-nine senior students of the University of St. La Salle - Integrated School took the Learning Style Inventory (LSI) developed by Dunn, Dunn and Price (1995). This was done to determine the students\u27 learning styles. They were identified according to their time-of-day preference which was one of the 22 factors in the LSI. The teachers concerned, on the other hand, took the Productivity Environmental Preference Survey (PEPS), the adult version of LSI. The afternoon learners constituted the matched or experimental group. Their teacher was likewise an afternoon learner. The rest belonged to the unmatched or control group. One quarter was spent for information dissemination, redesigning of classroom, and other adaptations to accommodate the learning styles of the experimental group. Another quarter was spent for the actual implementation of the study. During the actual implementation, both groups were given 5 identical long tests in their Math subject. The differences in achievement between the matched and unmatched groups were tested using t-test. The relationship between achievement and student participation was determined by using the point biserial correlation coefficient. Observations on behavior of the two groups were noted for a period of one quarter. Results showed that students from both groups highly preferred a quiet, cool, and bright room. The most preferred perceptual mode was the visual mode. It was also found that there was a significant difference on the achievement between the matched and the unmatched group. There was no relationship between learning styles and classroom participation. Moreover, the students with unmatched learning styles exhibited behaviors typically observed in a traditional classroom while students from the unmatched group were quite rowdy. It is recommended that a learning style inventory for Filipinos be constructed and the period of study be extended. It is also suggested that similar studies be done locally to further validate the results obtained

Ascension in Tagalog

Bibliography: p. 92-94

High precision Coriolis mass flow measurement applied to small volume proving

This paper discusses Small Volume Provers (SVPs), used in the oil and gas industry to validate the performance of custody transfer meters. Recently Coriolis mass flow meters have been introduced for custody transfer; while these offer reduced maintenance requirements over traditional PD and turbine meters, proving Coriolis flow meters using SVP is challenging. This paper presents SVP results for a Coriolis meter which matches or exceeds the most stringent requirements for custody transfer. This is achieved in part by using a novel signal processing technique which reduces the dominant component of the measurement noise, associated with so-called Coriolis mode vibration, with negligible loss of dynamic response. © 2006 Elsevier Ltd. All rights reserved

High precision Coriolis mass flow measurement applied to small volume proving

This paper discusses Small Volume Provers (SVPs), used in the oil and gas industry to validate the performance of custody transfer meters. Recently Coriolis mass flow meters have been introduced for custody transfer; while these offer reduced maintenance requirements over traditional PD and turbine meters, proving Coriolis flow meters using SVP is challenging. This paper presents SVP results for a Coriolis meter which matches or exceeds the most stringent requirements for custody transfer. This is achieved in part by using a novel signal processing technique which reduces the dominant component of the measurement noise, associated with so-called Coriolis mode vibration, with negligible loss of dynamic response. © 2006 Elsevier Ltd. All rights reserved

High precision Coriolis mass flow measurement applied to small volume proving

This paper discusses Small Volume Provers (SVPs), used in the oil and gas industry to validate the performance of custody transfer meters. Recently Coriolis mass flow meters have been introduced for custody transfer; while these offer reduced maintenance requirements over traditional PD and turbine meters, proving Coriolis flow meters using SVP is challenging. This paper presents SVP results for a Coriolis meter which matches or exceeds the most stringent requirements for custody transfer. This is achieved in part by using a novel signal processing technique which reduces the dominant component of the measurement noise, associated with so-called Coriolis mode vibration, with negligible loss of dynamic response. © 2006 Elsevier Ltd. All rights reserved