Social Security/Insurance and its benefits Time Series Analysis - Case study: RSSB Rwanda

Generally the beneficiaries of social security institutions and insurance companies contribute currently some percentages of their monthly salary, so that they will be protected by the social security institutions and insurance companies against economic and social distress that would be caused by the absence or substantial reduction of income from work as a result of various contingencies such as sickness, maternity, employment injury, invalidity, old age, etc. This research project analyzes, interprets and forecasts in next three years the benefits paid by RSSB, using Holt's two-parameter linear exponential smoothing time series model.

About the author

Emelyne UMUNOZA GASANA. Department of Mathematics, School of Applied and Pure Sciences, College of Science and Technology, UNIVERSITY OF RWANDA. Kigali, Rwanda. Academic Qualifications: BSc in Applied Mathematics, Kigali Institute of Science and Technology, Rwanda 2010. MSc in Technomathematics, Lappeenranta University of Technology, Finland 2013

Product details

• Authors: Jean Pierre Ngendahayo, Emelyn Umunoza Gasana, Emelyne Umunoza Gasana
• Publisher: LAP Lambert Academic Publishing
• Languages: English, German
• Product format: Paperback / Softback
• Released: 01.01.2016
• EAN: 9783659857805
• ISBN: 978-3-659-85780-5
• No. of pages: 64
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics