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Record Nr. |
UNINA9910465081603321 |
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Titolo |
Human capital development in the people's Republic of China and India : achievements, prospects, and policy challenges / / Asian Development Bank |
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Pubbl/distr/stampa |
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Metro Manila, Philippines : , : Asian Development Bank, , 2015 |
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©2015 |
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ISBN |
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Descrizione fisica |
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1 online resource (148 p.) |
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Disciplina |
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Soggetti |
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Human capital - China |
Human capital - India |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Cover; Contents; Foreword; Acknowledgments; Abbreviations; Executive Summary; I. Overview; A. Objective and Scope; B. Organization of the Report; C. Background and Motivation; II. Human Capital Development, Achievements, and Gaps; A. Literacy, School Enrollments, and Educational Attainment; B. Disparities in Educational Achievements and Opportunities; C. Quality of Education; D. Employability and Skills Development; E. Challenges to Quality Employment and Inclusive Growth; F. Rates of Return to Schooling and Wage Structure; III. Human Development and Economic Growth |
A. Impacts of Human Development on Economic Growth: Theory and EvidenceB. Growth Accounting; C. Role of Human Capital in Technological Progress; D. Labor Reallocation, Structural Transformation, and Growth; IV. Labor Supply and Education: Prospects and Challenges; A. Labor Supply; B. Labor Force Participation; C. Projections of Educational Attainment by Gender and Level; D. Demand and Supply of Workers; V. Skill Upgrading and Wage Inequality: A Microdata Analysis; A. Data and Empirical Methodology; B. Results from the Analysis of Microdata from the People's Republic of China |
C. Results from the Analysis of Indian MicrodataVI. Policy Challenges and Recommendations for Human Capital Development; A. Reducing |
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Disparities in Accessibility and Improving Quality of Education; B. Skills Development; C. Employment and Labor Markets; D. Conclusion; References; Tables, Boxes, and Figures; Boxes; 1. Global Competitiveness Performance; 2. What Explains Better PISA Test Scores?; 3. Sequential Education Development in the Republic of Korea; 4. Developing TVET through Changing Times-The Republic of Korea; 5. The Training Levy and Human Resource Development Fund of Malaysia |
Figures1. Trends in Per Capita Gross Domestic Product in Selected Economies; 2. Economic Structure-Gross Domestic Product and Employment Shares; 3. Global Competitiveness Index; 4. Trends in Educational Attainment; 5. Gross Enrollment Ratios by Level; 6. Literacy Rates for Population Aged 7 and Above in India; 7. Educational Attainment in the People's Republic of China by Cohort; 8. Enrollment Rates in the People's Republic of China by Cohort; 9. Distribution of Educational Readiness Test Scores of 4- to 5-Year-Olds in Selected Regions in the People's Republic of China |
10. Reading and Math Performance among Rural Students in India11. Reading and Math Performance among Rural Students in India Across States; 12. Provincial Per Capita Education Spending and Income in the People's Republic of China; 13. Labor Force with Vocational Training in India; 14. Proportion of Secondary Students Enrolled in Technical and/or Vocational Education Programs; 15. Youth with Formal Skills Training in India; 16. Size and Composition of Informal Employment in the Urban Labor Market in the People's Republic of China; 17. Formal and Informal Employment in India |
18. Rates of Return to Education in Urban Areas in the People's Republic of China |
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2. |
Record Nr. |
UNINA9910254078403321 |
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Titolo |
Applied matrix and tensor variate data analysis / / edited by Toshio Sakata |
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Pubbl/distr/stampa |
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Tokyo : , : Springer Japan : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (144 p.) |
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Collana |
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JSS Research Series in Statistics, , 2364-0057 |
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Disciplina |
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Soggetti |
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Statistics |
Statistics and Computing/Statistics Programs |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Statistics for Social Sciences, Humanities, Law |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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1 Three-Way Principal Component Analysis with its Applications to Psychology (Kohei Adachi) -- 2 Non-negative matrix factorization and its variants for audio signal processing (Hirokazu Kameoka) -- 3 Generalized Tensor PCA and its Applications to Image Analysis (Kohei Inoue) -- 4 Matrix Factorization for Image Processing (Noboru Murata) -- 5 Arrays Normal Model and Incomplete Array Variate Observations (Deniz Akdemir) -- 6 One-sided Tests for Matrix Variate Normal Distribution (Manabu Iwasa and Toshio Sakata). |
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Sommario/riassunto |
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This book provides comprehensive reviews of recent progress in matrix variate and tensor variate data analysis from applied points of view. Matrix and tensor approaches for data analysis are known to be extremely useful for recently emerging complex and high-dimensional data in various applied fields. The reviews contained herein cover recent applications of these methods in psychology (Chap. 1), audio signals (Chap. 2) , image analysis from tensor principal component analysis (Chap. 3), and image analysis from decomposition (Chap. 4), and genetic data (Chap. 5) . Readers will be able to understand the present status of these techniques as applicable to their own fields. In Chapter 5 especially, a theory of tensor normal distributions, which is a basic in statistical inference, is developed, and multi-way regression, |
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classification, clustering, and principal component analysis are exemplified under tensor normal distributions. Chapter 6 treats one-sided tests under matrix variate and tensor variate normal distributions, whose theory under multivariate normal distributions has been a popular topic in statistics since the books of Barlow et al. (1972) and Robertson et al. (1988). Chapters 1, 5, and 6 distinguish this book from ordinary engineering books on these topics. |
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