Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land |
Autore | Yang Yang <1975, > |
Edizione | [1st edition] |
Pubbl/distr/stampa | Boca Raton, Fla. : , : CRC Press, , 2013 |
Descrizione fisica | 1 online resource (339 p.) |
Disciplina |
001.42/2
001.422 300.727 |
Altri autori (Persone) | LandKenneth C |
Collana | Chapman & Hall/CRC interdisciplinary statistics series |
Soggetto topico |
Cohort analysis
Age groups - Statistical methods statistical method distribution by age sociology data processing |
ISBN |
1-000-21873-2
0-429-09620-8 1-4665-0753-5 9781466507524 9781466507531 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion. |
Record Nr. | UNINA-9910633952203321 |
Yang Yang <1975, >
![]() |
||
Boca Raton, Fla. : , : CRC Press, , 2013 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
Descrizione fisica |
1 online resource (xvi, 183 pages) : illustrations
xvi, 183 pages |
Disciplina | 340.028563 |
Soggetto topico |
automation
artificial intelligence data processing legal profession legal science Law offices - Automation |
ISBN |
1-119-72389-2
1-119-72388-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | How Lawyers Learned to Stop Worrying and Love AI -- #DoMoreLaw : How Doing Work More Efficiently Can Create More Legal Work, Not Less -- The Small Law Mindset: Bringing Biglaw Capabilities to Smaller Firms -- AI : A Modern Job Creator : The New Legal Mindsets, Skill Sets, and Jobs That Are in Demand -- Amplifying Legal Expertise : From One-to-One Advisory to Scalable, One-to-Many Service Delivery -- The Ethics of Lawyers Using, and Not Using, AI -- eDiscovery : What It Is and How AI Is Continuing to Transform How It Works for You -- AI in Legal Research : How AI Is Providing Everyone Access to Information and Leveling the Playing Field for Firms of All Sizes -- Litigation Analytics : The Emergence of Analytics in Law and Why It's Now Dangerous to Practice Litigation Without Data -- Contract Review to Contract Capital : How Ubiquitous Access to Contract Analysis Software Will Transform Legal and Business Practices -- Expert Systems : Self-Service Law and the Automation of Legal Question-Answering -- The Plan : Leveraging Data and AI to Expand and Future Proof Your Practice -- The AI Adoption Framework : Understanding the Adoption Path That Will Help You Get Ahead and Build the Practice of the Future -- Conclusion. |
Altri titoli varianti | Artificial intelligence for lawyers |
Record Nr. | UNINA-9910798930803321 |
Hoboken, New Jersey : , : Wiley, , [2021] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek |
Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
Descrizione fisica |
1 online resource (xvi, 183 pages) : illustrations
xvi, 183 pages |
Disciplina | 340.028563 |
Soggetto topico |
automation
artificial intelligence data processing legal profession legal science Law offices - Automation |
ISBN |
1-119-72389-2
1-119-72388-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | How Lawyers Learned to Stop Worrying and Love AI -- #DoMoreLaw : How Doing Work More Efficiently Can Create More Legal Work, Not Less -- The Small Law Mindset: Bringing Biglaw Capabilities to Smaller Firms -- AI : A Modern Job Creator : The New Legal Mindsets, Skill Sets, and Jobs That Are in Demand -- Amplifying Legal Expertise : From One-to-One Advisory to Scalable, One-to-Many Service Delivery -- The Ethics of Lawyers Using, and Not Using, AI -- eDiscovery : What It Is and How AI Is Continuing to Transform How It Works for You -- AI in Legal Research : How AI Is Providing Everyone Access to Information and Leveling the Playing Field for Firms of All Sizes -- Litigation Analytics : The Emergence of Analytics in Law and Why It's Now Dangerous to Practice Litigation Without Data -- Contract Review to Contract Capital : How Ubiquitous Access to Contract Analysis Software Will Transform Legal and Business Practices -- Expert Systems : Self-Service Law and the Automation of Legal Question-Answering -- The Plan : Leveraging Data and AI to Expand and Future Proof Your Practice -- The AI Adoption Framework : Understanding the Adoption Path That Will Help You Get Ahead and Build the Practice of the Future -- Conclusion. |
Altri titoli varianti | Artificial intelligence for lawyers |
Record Nr. | UNINA-9910808130303321 |
Hoboken, New Jersey : , : Wiley, , [2021] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak |
Autore | Walkowiak Simon |
Edizione | [1st edition] |
Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
Descrizione fisica | 1 online resource (498 pages) : illustrations |
Collana | Community experience distilled |
Soggetto topico |
R (Computer program language)
Data mining Information visualization text and data mining programming language big data cloud computing data processing software |
ISBN | 1-78646-372-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910798524603321 |
Walkowiak Simon
![]() |
||
Birmingham : , : Packt Publishing, , 2016 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak |
Autore | Walkowiak Simon |
Edizione | [1st edition] |
Pubbl/distr/stampa | Birmingham : , : Packt Publishing, , 2016 |
Descrizione fisica | 1 online resource (498 pages) : illustrations |
Collana | Community experience distilled |
Soggetto topico |
R (Computer program language)
Data mining Information visualization text and data mining programming language big data cloud computing data processing software |
ISBN | 1-78646-372-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910811945103321 |
Walkowiak Simon
![]() |
||
Birmingham : , : Packt Publishing, , 2016 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Data-driven decisions : a practical toolkit for librarians and information professionals / / Amy Stubbing [[electronic resource]] |
Autore | Stubbing Amy |
Pubbl/distr/stampa | London : , : Facet, , 2022 |
Descrizione fisica | 1 online resource (xvi, 180 pages) : digital, PDF file(s) |
Disciplina | 025.1 |
Soggetto topico |
Library administration - Decision making
Information resources management - Decision making Quantitative research Data mining library text and data mining decision-making data processing digital technology |
ISBN |
1-78330-522-3
1-78330-480-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Praise for Data-Driven Decisions -- Title Page -- Copyright -- Dedication -- Contents -- Figures and Tables -- Contributors -- Acknowledgements -- Part 1: Background -- 1 Introduction -- About the author -- The wider context -- The what, the why and the where of the data-driven decision process -- The toolkit? -- Going further -- What will you get from this book? -- 2 Using the Toolkit -- Getting started -- Book layout -- The model -- A circular approach -- Part 2: The Toolkit -- 3 Step 1: Identify -- Introduction -- Data needs -- Data queries -- Data sources -- Time to practise -- Summary -- 4 Step 2: Collect -- Introduction -- Choosing your data -- Data collection methods -- Summary -- 5 Step 3: Map -- Introduction -- What is mapping? -- Making data comparable (normalising) -- Visualisation -- Creating a map of your data -- Summary -- 6 Step 4: Analyse -- Introduction -- What is analysis? -- Understand context -- Conclusions -- Summary -- 7 Step 5: Act -- Introduction -- What is the action step? -- Sharing data -- Planning actions -- Summary -- 8 Step 6: Review -- Introduction -- Why do we review? -- What do we review? -- How to review and questions to explore -- Make the changes -- What next? -- Part 3: Going Further -- 9 Moving from a Transactional to a Transformational Service Using Data -- Introduction -- Why lead with data? -- Transactional vs transformational work -- Data-led culture -- Data with compassion -- Case study -- 10 Collection Mapping for Collection Management -- Introduction -- Understanding your collection as a concept -- Collection mapping -- Conclusion -- 11 User Experience and Qualitative Data -- Introduction -- What is UX? -- Undertaking UX research in a library -- The UX techniques -- Ethics of research -- Recruiting participants -- Analysis -- Now write it up! -- What next? -- Words of caution.
This is the beginning -- 12 Alternative Data Sources: Using Digital and Social Media to Inform Management Decisions in Your Library -- Introduction -- Libraries and social media -- Social media terminology and background -- What sort of data are we talking about? -- Data from social media marketing activity -- User engagement data and dialogue (outcomes measurement and evaluation) -- Service improvements and customer services -- Altmetrics -- Web-based analytics -- Summary -- 13 Starting from Scratch: Building a Data Culture at the University of Westminster -- Background -- Overnight opening case study -- Lessons learned and reflection -- 14 Back to the Drawing Board: How Data Visualisation Techniques Informed Service Delivery during the COVID-19 Pandemic -- Setting the scene -- Background -- Piktochart -- Power BI -- Case study: the pandemic -- Final thoughts -- Appendix -- Bibliography -- Index. |
Record Nr. | UNINA-9910795883603321 |
Stubbing Amy
![]() |
||
London : , : Facet, , 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn |
Autore | Roßnagel Alexander |
Pubbl/distr/stampa | Nomos Verlagsgesellschaft mbH & Co. KG, 2020 |
Descrizione fisica | 198 pages : digital file(s) |
Collana | Der elektronische Rechtsverkehr |
Soggetto topico |
Privacy, Right of - European Union countries
Consumer protection - Law and legislation - European Union countries Data protection - Law and legislation - European Union countries EU law consumer protection data processing EU Member State |
ISBN |
978-3-8487-7706-8
978-3-7489-2099-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Record Nr. | UNINA-9910418343403321 |
Roßnagel Alexander
![]() |
||
Nomos Verlagsgesellschaft mbH & Co. KG, 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn |
Autore | Roßnagel Alexander |
Pubbl/distr/stampa | Nomos Verlagsgesellschaft mbH & Co. KG, 2020 |
Descrizione fisica | 198 pages : digital file(s) |
Collana | Der elektronische Rechtsverkehr |
Soggetto topico |
Privacy, Right of - European Union countries
Consumer protection - Law and legislation - European Union countries Data protection - Law and legislation - European Union countries EU law consumer protection data processing EU Member State |
ISBN |
978-3-8487-7706-8
978-3-7489-2099-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | ger |
Record Nr. | UNISA-996540359203316 |
Roßnagel Alexander
![]() |
||
Nomos Verlagsgesellschaft mbH & Co. KG, 2020 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
IT Management in the Digital Age : A Roadmap for the IT Department of the Future / / by Nils Urbach, Frederik Ahlemann |
Autore | Urbach Nils |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (132 pages) |
Disciplina | 658.4038 |
Collana | Management for Professionals |
Soggetto topico |
Information technology
Business—Data processing Application software Organization Planning Leadership Management Industrial management IT in Business Information Systems Applications (incl. Internet) Business Strategy/Leadership Innovation/Technology Management information technology data processing data protection business administration |
ISBN | 3-319-96187-X |
Classificazione | 32.24.08 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910337821603321 |
Urbach Nils
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Run IT : dominating information technology / / by Andreas Graesser |
Autore | Graesser Andreas |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xi,225 pages) |
Disciplina |
004
004.068 |
Collana | Management for Professionals |
Soggetto topico |
Information technology
Business—Data processing IT in Business information technology data processing business administration |
ISBN |
3-030-14219-1
9783030142193 |
Classificazione | 32.24.08 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1. Introduction -- Chapter 2. Digital Vision -- Chapter 3. The Five Pitfalls of Software Implementations -- Chapter 4. Implementation of Cloud Applications -- Chapter 5. Preparing the IT Operation for Production -- Chapter 6. Best Practices – and more -- Chapter 7. Digital Strategies -- Chapter 8. Conclusion and Outlook. |
Record Nr. | UNINA-9910337821803321 |
Graesser Andreas
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|