目次

Preface.- PART 1. Demography and Related Applications: Health Status and the Lifespan Limit: Chapter 1 The Health Status of a Population Estimated: The History of Health State Curves: Christos H Skiadas and Charilaos Skiadas  .- Chapter 2 Remarks on “Limits to Human Lifespan”: Christos H Skiadas.- Chapter 3 Exploring the Health Status of a Population: A Simple Health State Model vs the Gompertz Model: Christos H Skiadas.- Chapter 4 Estimation of the healthy life expectancy in Italy through a simple model based on mortality rate: Christos Skiadas and Maria Felice Arezzo.- PART 2. Mortality Modeling and Applications: Chapter 5 Using Child, Adult, and Old-age Mortality to Establish a Developing Countries Mortality Database (DMD): Nan Li, Hong Mi and Patrick Gerland.- Chapter 6 A method for the evaluation of Health trends in Greece, 1961-2013: Konstantinos N. Zafeiris and Christos H. Skiadas.- Chapter 7 A method for the forecasting of mortality: Konstantinos N. Zafeiris.- Chapter 8 Prospective scenarios on coverage of deaths in Brazil: Neir Antunes Paes, and Alisson dos Santos Silva.- PART 3. Statistical Models and Methods in Biostatistics and Epidemiology:Chapter 9 Applications of the Cumulative Rate to Kidney Cancer Statistics in Australia: Janelle Brennan, K.C. Chan, Rebecca Kippen, C.T. Lenard, T.M. Mills, and Ruth F.G. Williams.- Chapter 10 To Reliability of Mortality Shifts in Working Population in Russia: Alla Ivanova, Tamara Sabgaida, Viktoria Semyonova, Elena Zemlyanova.- Chapter 11 Three-way data analysis applied to cause specific mortality trends: Giuseppe Giordano, Steven Haberman, Maria Russolillo.- PART 4. Stochastic and Neuro-Fuzzy Methods:Chapter 12 Measuring Latent Variables is space and/or time: A Gender Statistics exercise: Gaia Bertarelli, Franca Crippa, and Fulvia Mecatti.- Chapter 13 Stochastic Distance between Burkitt Lymphoma/Leukemia Strains: Jesús E. García, R. Gholizadeh, and V.A. González-López.- Chapter 14 Monte Carlo Methods Applied in Health Research: Pereira JA, Mendes L, Costa A, Oliveira TA.- Chapter 15 A neuro-fuzzy approach to measuring attitudes: Maria Symeonaki, Aggeliki Kazani and C. Michalopoulou.- PART 5. Data Analysis in Demography:Chapter 16 Differences in Life Expectancy by Marital Status in the Czech Republic after 1990 and their Decomposition by Age: Tomas Fiala and Jitka Langhamrová.- Chapter 17 Air pollution and health risks: a statistical analysis aiming at improving air quality in an alpine Italian province: Giuliana Passamani, Matteo Tomaselli.- Chapter 18 AR Dynamic Evolving Neuro-Fuzzy Inference System for Mortality Data: Gabriella Piscopo.- Chapter 19 Empirical Power Study of the Jackson Exponentiality Test: Frederico Caeiro and Ayana Mateus.- Chapter 20 An intervention analysis regarding the impact of the introduction of budget airline routes to Maltese tourism demographics: Maristelle Darmanin and David Suda.- Chapter 21 Investigating Southern Europeans’ Perceptions of Their Employment Status: Aggeliki Yfanti, Catherine Michalopoulou, Aggelos Mimis, and Stelios Zachariou.- PART 6. Health Sciences, Demography, Risk and Insurance: Chapter 22 Risk factors of Severe Cognitive Impairment in the Czech Republic: Kornélia Cséfalvaiová and Jitka Langhamrová.- Chapter 23 On the Measurement of Early Job Insecurity in Europe: Maria Symeonaki, Glykeria Stamatopoulou and Maria Karamessini.- Chapter 24 Health estimates for some countries of the rapid developing world: Konstantinos N. Zafeiris and Christos H. Skiadas.- Chapter 25 Social capital, income inequality and the health of the elderly: Maria Felice Arezzo.- Chapter 26 Life annuity portfolios: risk-adjusted valuations and suggestions on the product attractiveness: Valeria D'Amato, Emilia Di Lorenzo, Albina Orlando, and Marilena Sibillo.- Chapter 27 Flexible retirement scheme for the Italian mortality experience: Mariarosaria Coppola, Maria Russolillo, and Rosaria Simone.- Chapter 28 Sibling Death Clustering among the Tribes of Central and Eastern India: An Application of Random Effects Probit Model: Laxmi Kant Dwivedi , Mukesh Ranjan.