Cargando…
Data analysis and applications. 2, Utilization of results in Europe and other topics /
"This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. Volume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London : Hoboken, NJ :
ISTE ; John Wiley & Sons, Inc.,
2019.
|
| Colección: | Innovation, entrepreneurship and management series. Big data, artificial intelligence and data analysis set ;
v. 3. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | EBOOKCENTRAL_on1089445685 | ||
| 003 | OCoLC | ||
| 005 | 20240329122006.0 | ||
| 006 | m o d | ||
| 007 | cr cnu---unuuu | ||
| 008 | 190308t20192019nju ob 001 0 eng d | ||
| 040 | |a N$T |b eng |e rda |e pn |c N$T |d N$T |d DG1 |d YDXIT |d EBLCP |d UKAHL |d OCLCF |d INU |d CUS |d OCLCQ |d YDX |d OCLCQ |d K6U |d KOS |d REDDC |d OTZ |d UAB |d TOH |d AU@ |d COO |d VT2 |d UX1 |d OCLCQ |d OCLCO |d OCLCQ |d OCLCO |d IEEEE |d OCLCQ |d OCLCO |d OCLCL | ||
| 019 | |a 1089781627 |a 1099922901 |a 1104316695 |a 1104402517 |a 1119133125 |a 1151336357 |a 1152971980 |a 1162452297 |a 1175628973 | ||
| 020 | |a 9781119579533 |q (electronic book) | ||
| 020 | |a 1119579538 |q (electronic book) | ||
| 020 | |a 9781119579649 |q (electronic book) | ||
| 020 | |a 1119579643 |q (electronic book) | ||
| 020 | |a 9781119579465 |q (electronic book) | ||
| 020 | |a 1119579465 |q (electronic book) | ||
| 020 | |z 9781786304476 |q (hardcover) | ||
| 020 | |z 1786304473 |q (hardcover) | ||
| 024 | 8 | |a 9781786304476 | |
| 024 | 7 | |a 10.1002/9781119579465 |2 doi | |
| 029 | 1 | |a AU@ |b 000065126773 | |
| 029 | 1 | |a AU@ |b 000065218924 | |
| 029 | 1 | |a AU@ |b 000066230712 | |
| 029 | 1 | |a AU@ |b 000067295393 | |
| 029 | 1 | |a AU@ |b 000067383291 | |
| 029 | 1 | |a CHNEW |b 001048804 | |
| 029 | 1 | |a CHVBK |b 565572032 | |
| 035 | |a (OCoLC)1089445685 |z (OCoLC)1089781627 |z (OCoLC)1099922901 |z (OCoLC)1104316695 |z (OCoLC)1104402517 |z (OCoLC)1119133125 |z (OCoLC)1151336357 |z (OCoLC)1152971980 |z (OCoLC)1162452297 |z (OCoLC)1175628973 | ||
| 037 | |b 00028608 | ||
| 037 | |a 9820831 |b IEEE | ||
| 043 | |a e------ | ||
| 050 | 4 | |a QA76.9.Q36 |b D38 2019 | |
| 072 | 7 | |a REF |x 018000 |2 bisacsh | |
| 082 | 0 | 4 | |a 001.4/2 |2 23 |
| 049 | |a UAMI | ||
| 245 | 0 | 0 | |a Data analysis and applications. |n 2, |p Utilization of results in Europe and other topics / |c edited by Christos H. Skiadas, James R. Bozeman. |
| 246 | 3 | 0 | |a Utilization of results in Europe and other topics |
| 246 | 3 | |a Data analysis and application 2 : |b Utilization of results in Europe and other topics. Volume 3 | |
| 264 | 1 | |a London : |b ISTE ; |a Hoboken, NJ : |b John Wiley & Sons, Inc., |c 2019. | |
| 264 | 4 | |c ©2019 | |
| 300 | |a 1 online resource (xxvii, 214 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Big data, artificial intelligence and data analysis set ; |v volume 3 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on March 15, 2019). | |
| 505 | 0 | |a Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; Introduction: 50 Years of Data Analysis: From Exploratory Data Analysis to Predictive Modeling and Machine Learning; I.1. The revolt against mathematical statistics; I.2. EDA and unsupervised methods for dimension reduction; I.2.1. The time of syntheses; I.2.2. The time of clusterwise methods; I.2.3. Extensions to new types of data; I.2.4. Nonlinear data analysis; I.2.5. The time of sparse methods; I.3. Predictive modeling; I.3.1. Paradigms and paradoxes; I.3.2. From statistical learning theory to empirical validation | |
| 505 | 8 | |a I.3.3. ChallengesI. 4. Conclusion; I.5. References; PART 1: Applications; 1. Context-specific Independence in Innovation Study; 1.1. Introduction; 1.2. Parametrization for CS independencies; 1.3. Stratified chain graph models; 1.4. Application on real data; 1.5. Conclusion; 1.6. References; 2. Analysis of the Determinants and Outputs of Innovation in the Nordic Countries; 2.1. Introduction; 2.2. Innovation; 2.3. Methodology; 2.4. Results; 2.5. Conclusion; 2.6. References; 3. Bibliometric Variables Determining the Quality of a Dentistry Journal; 3.1. Introduction; 3.2. Statistical methodology | |
| 505 | 8 | |a 3.3. Results3.4. Conclusions; 3.5. Acknowledgment; 3.6. References; 4. Analysis of Dependence among Growth Rates of GDP of V4 Countries Using Four-dimensional Vine Copulas; 4.1. Introduction; 4.2. Theory; 4.3. Results; 4.4. Conclusion and future work; 4.5. Acknowledgment; 4.6. References; 5. Monitoring the Compliance of Countries on Emissions Mitigation Using Dissimilarity Indices; 5.1. Introduction; 5.2. The proposed method; 5.2.1. Description of method for individual data; 5.2.2. Description of method for grouped data; 5.3. Application of method | |
| 505 | 8 | |a 5.3.1. Application of method for individual data5.3.2. Application of method for grouped data; 5.4. Conclusions; 5.5. Appendix; 5.6. References; 6. Maximum Entropy and Distributions of Five-Star Ratings; 6.1. Introduction; 6.2. Entropy framework to five-star ratings; 6.3. Maximum entropy of ratings for values k = 1,2,3,. . .,30; 6.3.1. Ratings with two outcomes (k = 1); 6.3.2. Ratings with three Outcomes (k=2); 6.3.3. Ratings with four outcomes (k=3); 6.3.4. Ratings with five outcomes (k = 4); 6.3.5. Rating entropy for outcomes k>4 | |
| 505 | 8 | |a 6.3.6. Maximum entropy constraints for the binomial distribution6.4. Application to real five-star rating data; 6.5. Conclusions; 6.6. References; PART 2: The Impact of the Economic and Financial Crisis in Europe; 7. Access to Credit for SMEs after the 2008 Financial Crisis: The Northern Italian Perspective; 7.1. Introduction; 7.2. Italian SMEs and access to credit; 7.3. The data; 7.4. Methodology; 7.5. Analysis and discussion; 7.5.1. The measure for the Great Recession period (2008-2012); 7.5.2. The measure for the recovery period (2013-2015); 7.5.3. Comparing the two crisis phases | |
| 520 | |a "This series of books collects a diverse array of work that provides the reader with theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. Volume 2 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into four parts: Part 1 examines (in)dependence relationships, innovation in the Nordic countries, dentistry journals, dependence among growth rates of GDP of V4 countries, emissions mitigation, and five-star ratings; Part 2 investigates access to credit for SMEs, gender-based impacts given Southern Europe's economic crisis, and labor market transition probabilities; Part 3 looks at recruitment at university job-placement offices and the Program for International Student Assessment; and Part 4 examines discriminants, PageRank, and the political spectrum of Germany."-- |c Provided by publisher | ||
| 542 | |f Copyright © 2019 by John Wiley & Sons |g 2019 | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Quantitative research. | |
| 650 | 6 | |a Recherche quantitative. | |
| 650 | 7 | |a REFERENCE |x Questions & Answers. |2 bisacsh | |
| 650 | 7 | |a Quantitative research |2 fast | |
| 700 | 1 | |a Skiadas, Christos H., |e editor. | |
| 700 | 1 | |a Bozeman, James R., |e editor. | |
| 758 | |i has work: |a Utilization of results in Europe and other topics Data analysis and applications 2 (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFGtyXbmG7BQvjrbc6hmBP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Data analysis and applications. 2, Utilization of results in Europe and other topics. |d London : ISTE ; Hoboken, NJ : Wiley, 2019 |z 9781786304476 |w (DLC) 2018965157 |w (OCoLC)1082441069 |
| 830 | 0 | |a Innovation, entrepreneurship and management series. |p Big data, artificial intelligence and data analysis set ; |v v. 3. | |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5724050 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n AH35879015 | ||
| 938 | |a Askews and Holts Library Services |b ASKH |n AH35879016 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5724050 | ||
| 938 | |a EBSCOhost |b EBSC |n 2042473 | ||
| 938 | |a YBP Library Services |b YANK |n 16665959 | ||
| 938 | |a YBP Library Services |b YANK |n 16097629 | ||
| 938 | |a YBP Library Services |b YANK |n 16105471 | ||
| 994 | |a 92 |b IZTAP | ||