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Applied Stochastic Models and Data Analysis

Publisher:
Wiley Subscription Services, Inc., A Wiley Company
Wiley
ISSN:
8755-0024
Scimago Journal Rank:
41
journal article
LitStream Collection
The analysis of menstrual bleeding patterns: A review

Belsey, E. M.; Farley, T. M. M.

1987 Applied Stochastic Models and Data Analysis

doi: 10.1002/asm.3150030302

Patterns of vaginal bleeding are an important factor in the acceptability of contraceptive methods. The analysis of data obtained from daily menstrual diary records is a major methodological problem to which no satisfactory solution exists. This review describes approaches to the analysis of bleeding patterns among contracepting and non‐contracepting women and reviews the difficulties involved. The reference period method, introduced to avoid the arbitrary rules and definitions required for an analysis based on the concept of a menstrual cycle, is discussed and its limitations presented. The review draws on reports of meetings convened by the World Health Organization and the University of Exeter Family Planning Unit to discuss issues in the analysis. Previously unpublished methods are summarized and areas of controversy and topics for further research are identified.
journal article
LitStream Collection
A brownian motion model of return migration

Tapiero, Charles S.; Toren, Nina

1987 Applied Stochastic Models and Data Analysis

doi: 10.1002/asm.3150030303

This paper considers a continuous time, continuous state stochastic process to determine a theoretical model and empirical parameters for the probability distribution of remigration. A Brownian motion model is used for simplicity, with empirical findings drawn from a study of Israeli return migrants. A negative relationship between remigration (sojourn) time and the probability of return time is used to provide forecasts of remigration which can help governments who seek actively the return of their migrants to reach better decisions regarding the timing of their efforts.
journal article
LitStream Collection
Capital structure of real estate assets: Theory and empirical evidence

Raimbourg, P. H.

1987 Applied Stochastic Models and Data Analysis

doi: 10.1002/asm.3150030304

This paper presents a model which intends to explain the capital structure of real estate assets. The model is cast in classical portfolio choice framework, but special attention is paid to the liquidity constraint. The test of this model on two assets with different capital structures (new housing and old housing in France) revealed the importance of return indicators as well as liquidity constraint in the household's financing decisions.
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