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Data Analysis and Related Applications, Volume 2


Data Analysis and Related Applications, Volume 2

Multivariate, Health and Demographic Data Analysis
1. Aufl.

von: Konstantinos N. Zafeiris, Christos H. Skiadas, Yiannis Dimotikalis, Alex Karagrigoriou, Christiana Karagrigoriou-Vonta

126,99 €

Verlag: Wiley
Format: PDF
Veröffentl.: 15.08.2022
ISBN/EAN: 9781394165520
Sprache: englisch
Anzahl Seiten: 448

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Beschreibungen

<p>The scientific field of data analysis is constantly expanding due to the rapid growth of the computer industry and the wide applicability of computational and algorithmic techniques, in conjunction with new advances in statistical, stochastic and analytic tools. There is a constant need for new, high-quality publications to cover the recent advances in all fields of science and engineering.</p> <p>This book is a collective work by a number of leading scientists, computer experts, analysts, engineers, mathematicians, probabilists and statisticians who have been working at the forefront of data analysis and related applications. The chapters of this collaborative work represent a cross-section of current concerns, developments and research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with related applications.</p>
<p>Preface xv<br /><i>Konstantinos N ZAFEIRIS, Yiannis DIMOTIKALIS, Christos H SKIADAS, Alex KARAGRIGORIOU and Christiana KARAGRIGORIOU-VONTA</i></p> <p><b>Part 1 1</b></p> <p><b>Chapter 1 A Topological Clustering of Variables 3</b><br /><i>Rafik ABDESSELAM</i></p> <p>1.1 Introduction 3</p> <p>1.2 Topological context 5</p> <p>1.3 Topological clustering of variables -- selective review 9</p> <p>1.4 Illustration on real data of simple examples 10</p> <p>1.5 Conclusion 19</p> <p>1.6 Appendix 20</p> <p>1.7 References 23</p> <p><b>Chapter 2 A New Regression Model for Count Compositions 25</b><br /><i>Roberto ASCARI and Sonia MIGLIORATI</i></p> <p>2.1 Introduction 25</p> <p>2.1.1 Distributions for count vectors 26</p> <p>2.2 Regression models and Bayesian inference 29</p> <p>2.3 Simulation studies 30</p> <p>2.4 Application to real electoral data 34</p> <p>2.5 References 37</p> <p><b>Chapter 3 Intergenerational Class Mobility in Greece with Evidence from EU-SILC 39</b><br /><i>Glykeria STAMATOPOULOU, Maria SYMEONAKI and Catherine MICHALOPOULOU</i></p> <p>3.1 Introduction 39</p> <p>3.2 Data and methods 41</p> <p>3.3 The trends of class mobility between different birth cohorts 45</p> <p>3.4 Conclusion 52</p> <p>3.5 References 52</p> <p><b>Chapter 4 Capturing School-to-Work Transitions Using Data from the First European Graduate Survey 55</b><br /><i>Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU</i></p> <p>4.1 Introduction 55</p> <p>4.2 Data and methodology 57</p> <p>4.3 Results 58</p> <p>4.4 Conclusion 63</p> <p>4.5 References 64</p> <p><b>Chapter 5 A Cluster Analysis Approach for Identifying Precarious Workers 67</b><br /><i>Maria SYMEONAKI, Glykeria STAMATOPOULOU and Dimitris PARSANOGLOU</i></p> <p>5.1 Introduction 67</p> <p>5.2 Data and methodology 68</p> <p>5.3 Results 70</p> <p>5.4 Conclusion and discussion 74</p> <p>5.5 References 75</p> <p><b>Chapter 6 American Option Pricing Under a Varying Economic Situation Using Semi-Markov Decision Process 77</b><br /><i>Kouki TAKADA, Marko DIMITROV, Lu JIN and Ying NI</i></p> <p>6.1 Introduction 77</p> <p>6.2 American option pricing 79</p> <p>6.3 Exercising strategies 80</p> <p>6.4 Conclusion 89</p> <p>6.5 References 89</p> <p><b>Chapter 7 The Implementation of Hierarchical Classifications and Cochran’s Rule in the Analysis of Social Data 91</b><br /><i>Aggeliki YFANTI and Catherine MICHALOPOULOU</i></p> <p>7.1 Introduction 91</p> <p>7.2 Methods 95</p> <p>7.3 Results 96</p> <p>7.4 Conclusion 101</p> <p>7.5 References 102</p> <p><b>Chapter 8 Dynamic Optimization with Tempered Stable Subordinators for Modeling River Hydraulics 105</b><br /><i>Hidekazu YOSHIOKA and Yumi YOSHIOKA</i></p> <p>8.1 Introduction 105</p> <p>8.2 Mathematical model 108</p> <p>8.3 Optimization problem 109</p> <p>8.4 HJBI equation: formulation and solution 111</p> <p>8.5 Concluding remarks 115</p> <p>8.6 Acknowledgments 116</p> <p>8.7 References 116</p> <p><b>Part 2 119</b></p> <p><b>Chapter 9 Predicting Event Counts in Event-Driven Clinical Trials Accounting for Cure and Ongoing Recruitment 121</b><br /><i>Vladimir ANISIMOV, Stephen GORMLEY, Rosalind BAVERSTOCK and Cynthia KINEZA</i></p> <p>9.1 Introduction 122</p> <p>9.2 Modeling the process of event occurrence 123</p> <p>9.3 Predicting event counts for patients at risk 127</p> <p>9.4 Predicting event counts accounting for ongoing recruitment 129</p> <p>9.5 Monte Carlo simulation 133</p> <p>9.6 Software development 133</p> <p>9.7 R package and implementation in a clinical trial 138</p> <p>9.8 Conclusion 140</p> <p>9.9 References 141</p> <p><b>Chapter 10 Structural Modeling: An Application to the Evaluation of Ecosystem Practices at the Plot Level 143</b><br /><i>Dominique DESBOIS</i></p> <p>10.1 Introduction 143</p> <p>10.2 Structural equation modeling using partial least squares 144</p> <p>10.3 Material and method 150</p> <p>10.4 Results and discussion 154</p> <p>10.5 Conclusion 161</p> <p>10.6 References 161</p> <p><b>Chapter 11 Lean Management as an Improvement Factor in Health Services -- The Case of Venizeleio General Hospital of Crete, Greece 163</b><br /><i>Eleni GENITSARIDI and George MATALLIOTAKIS</i></p> <p>11.1 Introduction 164</p> <p>11.2 Theoretical framework 164</p> <p>11.3 Purpose of the research 168</p> <p>11.4 Methodology 168</p> <p>11.5 Research results 168</p> <p>11.6 Conclusion 175</p> <p>11.7 References 176</p> <p><b>Chapter 12 Motivation and Professional Satisfaction of Medical and Nursing Staff of Primary Health Care Structures (Urban and Regional Health Centers) of the Prefecture of Heraklion, Under the Responsibility of the 7th Ministry 179</b><br /><i>Mihalis KYRIAKAKIS and George MATALLIOTAKIS</i></p> <p>12.1 Introduction 180</p> <p>12.2 Methodology and material 180</p> <p>12.3 Results 182</p> <p>12.4 Discussion 194</p> <p>12.5 Conclusion 196</p> <p>12.6 References 197</p> <p><b>Chapter 13 Developing a Bibliometric Quality Indicator for Journals Applied to the Field of Dentistry Pilar</b> <i>VALDERRAMA, Ana M AGUILERA and Mariano J VALDERRAMA</i></p> <p>13.1 Introduction 199</p> <p>13.2 Methodology 200</p> <p>13.3 Discussion and conclusion 206</p> <p>13.4 Acknowledgments 207</p> <p>13.5 Appendix 208</p> <p>13.6 References 210</p> <p><b>Chapter 14 Statistical Process Monitoring Techniques for Covid-19 211</b><br /><i>Emmanouil-Nektarios KALLIGERIS and Andreas MAKRIDES</i></p> <p>14.1 Introduction 211</p> <p>14.2 Materials and methods 212</p> <p>14.3 Behavior of Covid-19 disease in the Mediterranean region 214</p> <p>14.4 Conclusion 218</p> <p>14.5 Acknowledgments 221</p> <p>14.6 References 221</p> <p><b>Part 3 223</b></p> <p><b>Chapter 15 Increase of Retirement Age and Health State of Population in Czechia 225</b><br /><i>Tomás FIALA, Jitka LANGHAMROVÁ and Jana VRABCOVÁ</i></p> <p>15.1 Introduction 225</p> <p>15.2 Data and methodological remarks 227</p> <p>15.3 Statutory retirement age 228</p> <p>15.4 Development of the state of health of population 230</p> <p>15.5 Development of the state of health of population in productive and post-productive ages 232</p> <p>15.6 Conclusion 234</p> <p>15.7 Acknowledgment 235</p> <p>15.8 References 235</p> <p><b>Chapter 16 A Generalized Mean Under a Non-Regular Framework and Extreme Value Index Estimation 237</b><br /><i>M IVETTE GOMES, Lígia HENRIQUES-RODRIGUES and Dinis PESTANA</i></p> <p>16.1 Introduction 237</p> <p>16.2 Preliminary results in the area of EVT for heavy tails and asymptotic behavior of MOp functionals 239</p> <p>16.3 Finite-sample behavior of MOp functionals 243</p> <p>16.4 A non-regular adaptive choice of p and k 247</p> <p>16.5 Concluding remarks 248</p> <p>16.6 References 248</p> <p><b>Chapter 17 Demography and Policies in V4 Countries 251</b><br /><i>Michaela KADLECOVÁ, Filip HON and Jitka LANGHAMROVÁ</i></p> <p>17.1 Introduction 251</p> <p>17.2 Demographic development in the V4 countries 252</p> <p>17.3 Development of fertility and family policy 255</p> <p>17.4 Pension systems of the Visegrad Four countries 258</p> <p>17.5 Prediction of future development of V4 populations 261</p> <p>17.6 Conclusion 265</p> <p>17.7 Acknowledgments 266</p> <p>17.8 References 267</p> <p><b>Chapter 18 Decomposing Differences in Life Expectancy with and without Disability: The Case of Czechia 271</b><br /><i>David MORÁVEK, Tomás BELOCH and Jitka LANGHAMROVÁ</i></p> <p>18.1 Introduction 271</p> <p>18.2 Methodology and data 273</p> <p>18.3 Main results 276</p> <p>18.4 Conclusion 281</p> <p>18.5 Acknowledgments 282</p> <p>18.6 References 283</p> <p><b>Chapter 19 Assessing the Predictive Ability of Subjective Survival Probabilities 285</b><br /><i>Apostolos PAPACHRISTOS and Georgia VERROPOULOU</i></p> <p>19.1 Introduction 285</p> <p>19.2 Methods 286</p> <p>19.3 Results 292</p> <p>19.4 Discussion 297</p> <p>19.5 Conclusion 298</p> <p>19.6 Acknowledgments 298</p> <p>19.7 References 299</p> <p><b>Chapter 20 Exploring Excess Mortality During the Covid-19 Pandemic with Seasonal ARIMA Models 303</b><br /><i>Karl-Heinz JÖCKEL and Peter PFLAUMER</i></p> <p>20.1 Introduction 304</p> <p>20.2 Binomial mortality model and the empirical distribution of daily deaths in Germany 305</p> <p>20.3 Non-seasonal ARIMA model for weekly data in Germany 307</p> <p>20.4 Seasonal ARIMA models of weekly deaths for Spain, Germany and Sweden 311</p> <p>20.5 Measuring excess mortality, especially in Spain, Germany and Sweden 322</p> <p>20.6 Forecasting daily deaths in Germany 324</p> <p>20.7 Conclusion 330</p> <p>20.8 Appendix 331</p> <p>20.8.1 Estimation results of the other age classes 331</p> <p>20.8.2 Time series decomposition 332</p> <p>20.9 References 334</p> <p><b>Chapter 21 The Impact of Cesarean Section on Neonatal Mortality in Rural--Urban Divisions in a Region of Brazil 337</b><br /><i>Carlos SANTOS and Neir PAES</i></p> <p>21.1 Introduction 338</p> <p>21.2 Materials and methods 339</p> <p>21.2.1 Multilevel logistic model 340</p> <p>21.3 Results and discussion 341</p> <p>21.4 Conclusion 345</p> <p>21.5 References 346</p> <p><b>Chapter 22 Analysis of Alcohol Policy in Czechia: Estimation of Alcohol Policy Scale Compared to EU Countries 349</b><br /><i>Kornélia SVACINOVÁ, Markéta Majerová PECHHOLDOVÁ and Jana VRABCOVÁ</i></p> <p>22.1 Introduction 350</p> <p>22.2 Literature review 351</p> <p>22.3 Methods 352</p> <p>22.4 Results 354</p> <p>22.5 Discussion 359</p> <p>22.6 Conclusion 360</p> <p>22.7 Acknowledgment 360</p> <p>22.8 References 360</p> <p><b>Chapter 23 Alcohol-Related Mortality and Its Cause-Elimination in Life Tables in Selected European Countries and USA: An International Comparison 363</b><br /><i>Jana VRABCOVÁ, Markéta Majerová PECHHOLDOVÁ and Kornélia SVACINOVÁ</i></p> <p>23.1 Introduction 364</p> <p>23.2 Data and methods 365</p> <p>23.3 Alcohol consumption in European countries by the OECD 367</p> <p>23.4 Czechia 369</p> <p>23.5 Poland 369</p> <p>23.6 Belarus 371</p> <p>23.7 Russia 371</p> <p>23.8 France 371</p> <p>23.9 USA 371</p> <p>23.10 Conclusion 374</p> <p>23.11 Acknowledgment 375</p> <p>23.12 References 375</p> <p><b>Chapter 24 Labor Force Aging in the Czech Republic: The Role of Education and Economic Industry 377</b><br /><i>Martina SIMKOVA and Jaroslav SIXTA</i></p> <p>24.1 Introduction 377</p> <p>24.2 The setting of the statutory retirement age 378</p> <p>24.3 The economic status of elderly workers 379</p> <p>24.4 The structure of working people by factors 380</p> <p>24.5 The change in the number of workers 382</p> <p>24.6 Conclusion 385</p> <p>24.7 Acknowledgment 385</p> <p>24.8 References 386</p> <p>List of Authors 387</p> <p>Index 393</p> <p>Summary of Volume 1 395</p>
<p><b>Konstantinos N. Zafeiris</b> is Associate Professor of Demography within the Department of History and Ethnology at the Democritus University of Thrace, Greece.</p> <p><b>Christos H. Skiadas</b> was the Founder and Director of Data Analysis and Forecasting and Former Vice-Rector at the Technical University of Crete, Greece.</p> <p><b>Yiannis Dimotikalis</b> is Assistant Professor of Quantitative Methods within the Department of Management Science and Technology at the Hellenic Mediterranean University, Greece.</p> <p><b>Alex Karagrigoriou</b> is Professor of Probability and Statistics, Director of the Laboratory of Statistics and Data Analysis and Actuarial-Financial Mathematics at the University of the Aegean, Greece.</p> <p><b>Christiana Karagrigoriou-Vonta</b> is a (socio) linguist, translator and subtitler. She works as a freelance translator and editor of scientific texts and provides postproduction services (subtitling) for private companies and broadcasting corporations.</p>

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