Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land
| 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, >
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| Boca Raton, Fla. : , : CRC Press, , 2013 | ||
| Lo trovi qui: Univ. Federico II | ||
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AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
| 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 | ||
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AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
| 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 | ||
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Automatic documentation and mathematical linguistics
| Automatic documentation and mathematical linguistics |
| Pubbl/distr/stampa | New York, : Allerton Press |
| Disciplina | 025 |
| Soggetto topico |
Documentation
Computational linguistics Mathematical linguistics Electronic Data Processing Linguistics Informatique Théorie de l'information Lingüística computacional Lingüística matemàtica data processing computer science documentation (activity) linguistics |
| Soggetto genere / forma |
Periodicals.
Revistes electròniques. periodicals. Périodiques. |
| ISSN | 1934-8371 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910133591703321 |
| New York, : Allerton Press | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
| 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
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
| 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
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| Birmingham : , : Packt Publishing, , 2016 | ||
| Lo trovi qui: Univ. Federico II | ||
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Data-driven decisions : a practical toolkit for librarians and information professionals / / Amy Stubbing [[electronic resource]]
| 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
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| London : , : Facet, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
| 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
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||
| Nomos Verlagsgesellschaft mbH & Co. KG, 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
| 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
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| Nomos Verlagsgesellschaft mbH & Co. KG, 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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IEEE transactions on speech and audio processing : a publication of the IEEE Signal Processing Society
| IEEE transactions on speech and audio processing : a publication of the IEEE Signal Processing Society |
| Pubbl/distr/stampa | New York, NY, : Institute of Electrical and Electronics Engineers |
| Disciplina | 621 |
| Soggetto topico |
Speech processing systems
Electro-acoustics Signal processing - Digital techniques Auditory Perception Electronic Data Processing Signal Processing, Computer-Assisted Sound Speech Speech Perception Électroacoustique Traitement du signal - Techniques numériques Traitement automatique de la parole Perception auditive Informatique Son Parole Perception de la parole Discours computer science data processing sound (acoustics) speeches (documents) speeches (compositions) speech (communication function) Akoestiek Computermethoden Spraakherkenning |
| Soggetto genere / forma |
Periodical
Periodicals. |
| ISSN | 1558-2353 |
| Formato | Materiale a stampa |
| Livello bibliografico | Periodico |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Institute of Electrical and Electronics Engineers transactions on speech and audio processing
Transactions on speech and audio processing Speech and audio processing |
| Record Nr. | UNINA-9910626004903321 |
| New York, NY, : Institute of Electrical and Electronics Engineers | ||
| Lo trovi qui: Univ. Federico II | ||
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