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Contingency Table Analysis [[electronic resource] ] : Methods and Implementation Using R / / by Maria Kateri
| Contingency Table Analysis [[electronic resource] ] : Methods and Implementation Using R / / by Maria Kateri |
| Autore | Kateri Maria |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014 |
| Descrizione fisica | 1 online resource (XVII, 304 p. 21 illus., 8 illus. in color.) : online resource |
| Disciplina | 519.5 |
| Collana | Statistics for Industry and Technology |
| Soggetto topico |
Statistics
Applied mathematics Engineering mathematics R (Computer program language) Statistical Theory and Methods Statistics for Social Sciences, Humanities, Law Statistics for Life Sciences, Medicine, Health Sciences Statistics and Computing/Statistics Programs Applications of Mathematics |
| ISBN | 0-8176-4811-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Analysis of Two-Way Tables -- Analysis of Multi-Way Tables -- Log-Linear Models -- Generalized Linear Models and Extensions -- Association Models -- More on Association Models and Related Methods -- Response Variable Analysis in Contingency Tables -- Analysis of Square Tables -- Further Topics. |
| Record Nr. | UNINA-9910300152303321 |
Kateri Maria
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| New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Corpus Linguistics and Statistics with R [[electronic resource] ] : Introduction to Quantitative Methods in Linguistics / / by Guillaume Desagulier
| Corpus Linguistics and Statistics with R [[electronic resource] ] : Introduction to Quantitative Methods in Linguistics / / by Guillaume Desagulier |
| Autore | Desagulier Guillaume |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 353 p. 98 illus., 55 illus. in color.) |
| Disciplina | 410.188 |
| Collana | Quantitative Methods in the Humanities and Social Sciences |
| Soggetto topico |
Statistics
Grammar Computational linguistics R (Computer program language) Statistics and Computing/Statistics Programs Computational Linguistics Statistics for Social Sciences, Humanities, Law |
| ISBN | 3-319-64572-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- R Fundamentals -- Digital Corpora -- Processing and Manipulating Character Strings -- Applied Character String Processing -- Summary Graphics for Frequency Data -- Descriptive Statistics -- Notions of Statistical Testing -- Association and Productivity -- Clustering Methods. |
| Record Nr. | UNINA-9910254307203321 |
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Desagulier Guillaume
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Course in Mathematical Statistics and Large Sample Theory [[electronic resource] /] / by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru
| A Course in Mathematical Statistics and Large Sample Theory [[electronic resource] /] / by Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru |
| Autore | Bhattacharya Rabi |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XI, 389 p. 9 illus., 2 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics Probabilities Biostatistics Statistical Theory and Methods Probability and Statistics in Computer Science Statistics for Business, Management, Economics, Finance, Insurance Probability Theory and Stochastic Processes Statistics and Computing/Statistics Programs |
| ISBN | 1-4939-4032-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Introduction -- 2 Decision Theory -- 3 Introduction to General Methods of Estimation -- 4 Sufficient Statistics, Exponential Families, and Estimation -- 5 Testing Hypotheses -- 6 Consistency and Asymptotic Distributions and Statistics -- 7 Large Sample Theory of Estimation in Parametric Models -- 8 Tests in Parametric and Nonparametric Models -- 9 The Nonparametric Bootstrap -- 10 Nonparametric Curve Estimation -- 11 Edgeworth Expansions and the Bootstrap -- 12 Frechet Means and Nonparametric Inference on Non-Euclidean Geometric Spaces -- 13 Multiple Testing and the False Discovery Rate -- 14 Markov Chain Monte Carlo (MCMC) Simulation and Bayes Theory -- 15 Miscellaneous Topics -- Appendices -- Solutions of Selected Exercises in Part 1. |
| Record Nr. | UNINA-9910254093103321 |
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Bhattacharya Rabi
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| New York, NY : , : Springer New York : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Analysis, Machine Learning and Knowledge Discovery [[electronic resource] /] / edited by Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning
| Data Analysis, Machine Learning and Knowledge Discovery [[electronic resource] /] / edited by Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (461 p.) |
| Disciplina | 006.312 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Data mining Marketing Finance Biostatistics Psychology Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Finance, general General Psychology |
| ISBN | 3-319-01595-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | AREA Statistics and Data Analysis: Classifcation, Cluster Analysis, Factor Analysis and Model Selection -- AREA Machine Learning and Knowledge Discovery: Clustering, Classifiers, Streams and Social Networks -- AREA Data Analysis and Classification in Marketing -- AREA Data Analysis in Finance -- AREA Data Analysis in Biostatistics and Bioinformatics -- AREA Interdisciplinary Domains: Data Analysis in Music, Education and Psychology.- LIS Workshop: Workshop on Classification and Subject Indexing in Library and Information Science. |
| Record Nr. | UNINA-9910300141903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data mining [[electronic resource] ] : Metodi e strategie / / by Susi Dulli, Sara Furini, Edmondo Peron
| Data mining [[electronic resource] ] : Metodi e strategie / / by Susi Dulli, Sara Furini, Edmondo Peron |
| Autore | Dulli Susi |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Milano : , : Springer Milan : , : Imprint : Springer, , 2009 |
| Descrizione fisica | 1 online resource (184 p.) |
| Disciplina | 006.3 |
| Collana | La Matematica per il 3+2 |
| Soggetto topico |
Data mining
Artificial intelligence Algorithms Computer mathematics Statistics Data Mining and Knowledge Discovery Artificial Intelligence Computational Science and Engineering Statistics and Computing/Statistics Programs Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN |
1-283-86547-5
88-470-1163-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Nota di contenuto | Introduzione -- Trattamento preliminare dei dati -- Misure di distanza e di similarità -- Cluster Analysis -- Metodi di classificazione -- Serie Temporali -- Analisi delle associazioni -- Analisi dei link. |
| Record Nr. | UNINA-9910483874403321 |
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Dulli Susi
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| Milano : , : Springer Milan : , : Imprint : Springer, , 2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Mining with SPSS Modeler [[electronic resource] ] : Theory, Exercises and Solutions / / by Tilo Wendler, Sören Gröttrup
| Data Mining with SPSS Modeler [[electronic resource] ] : Theory, Exercises and Solutions / / by Tilo Wendler, Sören Gröttrup |
| Autore | Wendler Tilo |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 1059 p. 1378 illus., 1277 illus. in color.) |
| Disciplina | 005.55 |
| Soggetto topico |
Statistics
Data mining Computer software Statistical Theory and Methods Statistics and Computing/Statistics Programs Data Mining and Knowledge Discovery Mathematical Software |
| ISBN | 3-319-28709-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book. |
| Record Nr. | UNINA-9910254096103321 |
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Wendler Tilo
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science [[electronic resource] ] : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi
| Data Science [[electronic resource] ] : Innovative Developments in Data Analysis and Clustering / / edited by Francesco Palumbo, Angela Montanari, Maurizio Vichi |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (346 pages) : color illustrations |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Data mining Big data Statistical Theory and Methods Data Mining and Knowledge Discovery Statistics and Computing/Statistics Programs Big Data Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics for Business, Management, Economics, Finance, Insurance |
| ISBN | 3-319-55723-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Part I: Classification Methods for High-Dimensional Data -- Scientific Contributions -- Part II: Clustering Methods and Applications -- Scientific Contributions -- Part III: Multivariate Methods and Applications -- Scientific Contributions. |
| Record Nr. | UNINA-9910254277903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Social Research [[electronic resource] ] : Epistemology, Methods, Technology and Applications / / edited by N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino
| Data Science and Social Research [[electronic resource] ] : Epistemology, Methods, Technology and Applications / / edited by N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (IX, 300 p. 77 illus., 51 illus. in color.) |
| Disciplina | 003.35133 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Social sciences Epistemology Social policy Communication Sociology Statistics for Social Sciences, Humanities, Law Methodology of the Social Sciences Social Policy Statistics and Computing/Statistics Programs Media Research |
| ISBN | 3-319-55477-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- INDEX -- Introduction. Enrica Amaturo, Biagio Aragona -- Part I Epistemology: On Data, Big Data and Social Research. Is It a Real Revolution? Federico Neresini.-New Data Science - The Sociological Point of View; Biagio Aragona.- Data Revolutions in Sociology; Barbara Saracino.- Blurry Boundaries: Internet, Big New Data and Mixed-Method Approach; Enrica Amaturo, Gabriella Punziano.- Social Media and the Challenge of Big Data/Deep Data Approach; Giovanni Boccia Artieri.- Governing by Data - Some Considerations on the Role of Learning Analytics in Education; Rosanna De Rosa.- Part II Methods, Software and Data Architectures: A Knowledge-based Model for Clustering and Hierarchical Disjoint Non-negative Factor Analysis; Mario Fordellone, Maurizio Vichi.- TaLTaC 3.0. A Multi-levelWeb Platform for Textual Big Data in the Social Sciences; Sergio Bolasco and Giovanni De Gasperis.- Latent Growth and Statistical Literacy; Emma Zavarrone.- University of Bari’s Website Evaluation; Laura Antonucci, Marina Basile, Corrado Crocetta, Viviana D’Addosio, Francesco D. d’Ovidio, Domenico Viola.- Advantages of Administrative Data - Three Analyses of Students’ Careers in Higher Education; Andrea Amico, Giampiero D’Alessandro, Alessandra Decataldo.- Growth Curve Models to Detect Walking Impairment: the Case of InCHIANTI Study; Catia Monicolini, Carla Rampichini.- 1) Recurrence Analysis - Method and Applications; Maria Carmela Catone, Paolo Diana, Marisa Faggini.- Part III On-line Data Applications: Big Data and Network Analysis - A Promising Integration for Decision-Making; Giovanni Giuffrida, Simona Gozzo, Francesco Mazzeo Rinaldi, Venera Tomaselli.- White House Under Attack - Introducing Distributional Semantic Model for the Analysis of US Crisis Communication Strategies; Fabrizio Esposito, Estella Esposito, Pierpaolo Basile.- #theterrormood - Studying the World Mood after the Terror Attacks on Paris and Bruxelles; Rosanna Cataldo, Roberto Galasso, Maria Gabriella Grassia, Marina Marino; Learning Analytics in MOOCs - EMMA Case; Maka Eradze, and Kairit Tammets.- Tweet-Tales: Moods of Socio-Economic Crisis? Grazia Biorci, Antonella Emina, Michelangelo Puliga, Lisa Sella, Gianna Vivaldo.- The Sentiment of the Infosphere - A Sentiment Analysis Approach for the Big Conversation on the Net; Antonio Ruoto, Vito Santarcangelo, Davide Liga, Giuseppe Oddo, Massimiliano Giacalone, Eugenio Iorio.- The Promises of Sociological Degrees - A Lexi-cal Correspondence Analysis of Masters Syllabi; Davide Borrelli, Roberto Serpieri, Danilo Taglietti, Domenico Trezza.- Part IV Off-line Data Applications: Exploring Barriers in the Sustainable Microgeneration Preliminary In-sights Thought the PLS-PM Approach; Ivano Scotti, Dario Minervini.- Individual Disadvantage and Training Policies - The Constructions of "Model-based" Composite Indicators; Rosanna Cataldo - Maria Gabriella Grassia - Carlo Lauro - Elena Ragazzi - Lisa Sella.- Measuring the Intangibles - Testing the Human Capital Theory Against the OECD Programme for the International Assessment of Adult Competencies; Federica Cornali.- Analysis of the Employment Transitions and Analysis of the Unemployment Risk in the Social Security Account Statements of the Patronato ACLI; Danilo Catania, Alessandro Serini, Gianfranco Zucca.- Integrated Education Microdata to Support Statistics Production; Maria Carla Runci, Grazia Di Bella and Francesca Cuppone.- Latent Growth and Statistical Literacy; Zavarrone, Grassia. |
| Record Nr. | UNINA-9910254307703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Data Science Design Manual [[electronic resource] /] / by Steven S. Skiena
| The Data Science Design Manual [[electronic resource] /] / by Steven S. Skiena |
| Autore | Skiena Steven S |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVII, 445 p. 180 illus., 137 illus. in color.) |
| Disciplina | 519.50285 |
| Collana | Texts in Computer Science |
| Soggetto topico |
Data mining
Pattern recognition Big data Mathematics Visualization Statistics Data Mining and Knowledge Discovery Pattern Recognition Big Data/Analytics Statistics and Computing/Statistics Programs |
| ISBN | 3-319-55444-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | What is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale. |
| Record Nr. | UNINA-9910254816703321 |
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Skiena Steven S
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science for Transport [[electronic resource] ] : A Self-Study Guide with Computer Exercises / / by Charles Fox
| Data Science for Transport [[electronic resource] ] : A Self-Study Guide with Computer Exercises / / by Charles Fox |
| Autore | Fox Charles |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVII, 185 p. 77 illus., 49 illus. in color.) |
| Disciplina | 307.12 |
| Collana | Springer Textbooks in Earth Sciences, Geography and Environment |
| Soggetto topico |
Regional planning
Urban planning Transportation engineering Traffic engineering Statistics Computers Regional economics Spatial economics Landscape/Regional and Urban Planning Transportation Technology and Traffic Engineering Statistics and Computing/Statistics Programs Information Systems and Communication Service Regional/Spatial Science |
| ISBN | 3-319-72953-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface/ Foreword (professional public transport analyst -- Introduction -- What is Data Science? -- Introduction to Python programming -- Database Design -- Data Munging -- Spatial Data -- Bayesian Interference -- Discriminative Classification -- Spatial Analysis -- Data Visualisation -- Database Scaling -- Professional Issues -- Appendix -- Index. |
| Record Nr. | UNINA-9910299390903321 |
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Fox Charles
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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