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Argomenti di probabilità e statistica / / by Rita Giuliano
Argomenti di probabilità e statistica / / by Rita Giuliano
Autore Giuliano Rita
Edizione [1st ed. 2011.]
Pubbl/distr/stampa Milano : , : Springer Milan : , : Imprint : Springer, , 2011
Descrizione fisica 1 online resource (VIII, 146 pagg.)
Disciplina 519.5
Soggetto topico Statistics
Mathematical analysis
Statistical Theory and Methods
Analysis
ISBN 88-470-1759-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNINA-9910483900503321
Giuliano Rita  
Milano : , : Springer Milan : , : Imprint : Springer, , 2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
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The Art of Progressive Censoring : Applications to Reliability and Quality / / by N. Balakrishnan, Erhard Cramer
The Art of Progressive Censoring : Applications to Reliability and Quality / / by N. Balakrishnan, Erhard Cramer
Autore Balakrishnan N.
Edizione [1st ed. 2014.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014
Descrizione fisica 1 online resource (652 pages) : illustrations, charts, graphs, tables
Disciplina 519.5/46
Collana Statistics for Industry and Technology
Soggetto topico Statistics
Biometry
Probabilities
Mathematics
Statistical Theory and Methods
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Biostatistics
Probability Theory
Applications of Mathematics
ISBN 0-8176-4807-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Distribution Theory and Models -- Progressive censoring: Data and models -- Progressive Type-II censoring: Distribution theory -- Further distributional results on progressive Type-II censoring -- Progressive Type-I censoring: Basic properties -- Progressive hybrid censoring: Distributions and properties -- Adaptive progressive Type-II censoring and related models -- Moments of progressively Type-II censored order statistics -- Simulation of progressively censored order statistics -- Information Measures -- Progressive Type-II censoring under non-standard conditions -- Part II: Inference -- Linear estimation in progressive Type-II censoring -- Maximum likelihood estimation in progressive Type-II censoring -- Point estimation in progressive Type-I censoring -- Progressive hybrid and adaptive censoring and related inference -- Bayesian inference for progressively Type-II censored data -- Point prediction from progressively Type-II censored samples -- Statistical intervals for progressively Type-IIcensored data -- Progressive Type-I interval censored data -- Goodness-of-fit-tests in progressive Type-II censoring -- Counting and quantile processes and progressive censoring -- Nonparametric inferential issues in progressive Type-II censoring -- Part III: Applications in Survival Analysis and Reliability -- Acceptance sampling plans -- Accelerated life-testing -- Stress-strength models with progressively censored data -- Multi-sample models -- Optimal experimental designs -- Part IV: Appendices -- Appendix A: Distributions -- Appendix B: Additional demonstrative datasets -- Notation -- References -- Author index -- Subject index.
Record Nr. UNINA-9910299977003321
Balakrishnan N.  
New York, NY : , : Springer New York : , : Imprint : Birkhäuser, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology / / edited by Ansgar Steland, Kwok-Leung Tsui
Artificial Intelligence, Big Data and Data Science in Statistics : Challenges and Solutions in Environmetrics, the Natural Sciences and Technology / / edited by Ansgar Steland, Kwok-Leung Tsui
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (378 pages)
Disciplina 006.3
Soggetto topico Statistics
Artificial intelligence - Data processing
Machine learning
Big data
Statistical Theory and Methods
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Data Science
Machine Learning
Big Data
Applied Statistics
Intel·ligència artificial
Dades massives
Estadística matemàtica
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-07155-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910631085803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Assessing Model-Based Reasoning using Evidence- Centered Design : A Suite of Research-Based Design Patterns / / by Robert J Mislevy, Geneva Haertel, Michelle Riconscente, Daisy Wise Rutstein, Cindy Ziker
Assessing Model-Based Reasoning using Evidence- Centered Design : A Suite of Research-Based Design Patterns / / by Robert J Mislevy, Geneva Haertel, Michelle Riconscente, Daisy Wise Rutstein, Cindy Ziker
Autore Mislevy Robert J
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVII, 130 p. 23 illus., 9 illus. in color.)
Disciplina 005.1
Collana SpringerBriefs in Statistics
Soggetto topico Social sciences - Statistical methods
Educational tests and measurements
Statistics
Educational technology
Teachers - Training of
Learning, Psychology of
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Assessment and Testing
Statistical Theory and Methods
Digital Education and Educational Technology
Teaching and Teacher Education
Instructional Psychology
ISBN 3-319-52246-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction -- Model-Based Reasoning -- Evidence-Centered Assessment Design -- Design Patterns for Model-Based Reasoning -- Model Formation -- Model Use -- Model Elaboration -- Model Articulation -- Model Evaluation -- Model Revision -- Model-based Inquiry -- Conclusion -- References -- Appendix -- Summary Form of Design Patterns for Model-based Reasoning -- Appendix.
Record Nr. UNINA-9910254277503321
Mislevy Robert J  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Astrostatistical Challenges for the New Astronomy / / edited by Joseph M. Hilbe
Astrostatistical Challenges for the New Astronomy / / edited by Joseph M. Hilbe
Edizione [1st ed. 2013.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (246 p.)
Disciplina 520.15195
Altri autori (Persone) HilbeJoseph M
Collana Springer Series in Astrostatistics
Soggetto topico Statistics
Mathematical statistics - Data processing
Astronomy
Statistical Theory and Methods
Statistics and Computing
Astronomy, Cosmology and Space Sciences
ISBN 1-283-90970-7
1-4614-3508-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Joseph Hilbe, Jet Propulsion Laboratory and Arizona State University, Astrostatistics: A brief history and view to the future -- Thomas Loredo, Cornell Univ, Bayesian astrostatistics: A backward look to the future -- Stefano Andreon, INAF-Osservatorio Astronomico di Brera, Italy, Understanding better (some) astronomical data using Bayesian methods -- Martin Kunz, Institute for Theoretical Physics, Univ of Geneva, BEAMS: separating the wheat from the chaff in supernova analysis -- Benjamin Wandelt, Institut d'Astrophysique de Paris, Université Pierre et Marie Curie, France, Cosmostatistics -- Roberto Trotta, Astrophysics Group, Dept of Physics, Imperial College London  (with Farhan Feroz (Cambridge), Mike Hobson (Cambridge), and Roberto Ruiz de Austri (Univ of Valencia, Spain), Recent advances in Bayesian inference in cosmology and astroparticle physics thanks to the Multinest Algorithm -- Phillip Gregory, Department of Astronomy, Univ of British Columbia, Canada, Extrasolar planets via Bayesian model fitting -- Marc Henrion, Dept of Mathematics, Imperial College, London, UK (with Daniel Mortlock (Imperial), Axel Gandy (Imperial), and David J. Hand (Imperial)), Subspace methods for anomaly detection in high dimensional astronomical databases -- Asis Kumar Chattopadhyay, Dept of Statistics, Univ of Calcutta, India (with Tanuka Chattyopadhyay, Tuli De, and Saptarshi Mondal), Independent Component Analysis for dimension reduction classification: Hough transform and CASH Algorithm -- Marisa March, Astrophysics Group, Dept of Physics, Imperial College London (with Roberto Trotta), Improved cosmological constraints from a Bayesian hierarchical model of supernova type Ia data                                                                                                                                                                                                                                                         .
Record Nr. UNINA-9910437862903321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / / by Masayuki Hirukawa
Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance / / by Masayuki Hirukawa
Autore Hirukawa Masayuki
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XII, 110 p. 5 illus.)
Disciplina 519.5
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Social sciences - Statistical methods
Mathematical statistics - Data processing
Statistics in Business, Management, Economics, Finance, Insurance
Statistical Theory and Methods
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics and Computing
ISBN 981-10-5466-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Asymmetric kernels: definition and history -- 2. Density estimation from nonnegative observations -- 3. Regression estimation with nonnegative regressors -- 4. Model specification tests -- 5. Asymmetric kernel smoothing in action: applications in economics and finance.
Record Nr. UNINA-9910300124103321
Hirukawa Masayuki  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Asymptotic Expansion and Weak Approximation : Applications of Malliavin Calculus and Deep Learning / / by Akihiko Takahashi, Toshihiro Yamada
Asymptotic Expansion and Weak Approximation : Applications of Malliavin Calculus and Deep Learning / / by Akihiko Takahashi, Toshihiro Yamada
Autore Takahashi Akihiko
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (177 pages)
Disciplina 519.5
Altri autori (Persone) YamadaToshihiro
Collana JSS Research Series in Statistics
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Statistics and Computing
Applied Statistics
Probabilitats
Processos estocàstics
Soggetto genere / forma Llibres electrònics
ISBN 981-9682-80-0
9789819682805
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Itô calculus -- Chapter 3. Malliavin calculus -- Chapter 4. Asymptotic expansion -- Chapter 5. Weak approximation -- Chapter 6. Application: Deep learning-based weak approximation.
Record Nr. UNINA-9911031564503321
Takahashi Akihiko  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Asymptotic Statistical Inference : A Basic Course Using R / / by Shailaja Deshmukh, Madhuri Kulkarni
Asymptotic Statistical Inference : A Basic Course Using R / / by Shailaja Deshmukh, Madhuri Kulkarni
Autore Deshmukh Shailaja
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (540 pages)
Disciplina 519.5
Soggetto topico Statistics
Mathematical statistics - Data processing
Statistical Theory and Methods
Statistics and Computing
ISBN 981-15-9003-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: Consistency of an Estimator -- Chapter 3: Consistent and Asymptotically Normal Estimators -- Chapter 4: CAN Estimators in Exponential and Cramer Families -- Chapter 5: Large Sample Test Procedures -- Chapter 6: Goodness of Fit Test and Tests for Contingency Tables -- Chapter 7: Solutions to Conceptual Exercises.
Record Nr. UNINA-9910490026603321
Deshmukh Shailaja  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Basic Elements of Computational Statistics / / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Basic Elements of Computational Statistics / / by Wolfgang Karl Härdle, Ostap Okhrin, Yarema Okhrin
Autore Härdle Wolfgang Karl
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXI, 305 p. 97 illus., 66 illus. in color.)
Disciplina 519.50285
Collana Statistics and Computing
Soggetto topico Mathematical statistics - Data processing
Statistics
Computer science - Mathematics
Mathematical statistics
Biometry
Statistics and Computing
Statistical Theory and Methods
Probability and Statistics in Computer Science
Biostatistics
Statistics in Business, Management, Economics, Finance, Insurance
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
ISBN 3-319-55336-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Basics of R -- Numerical Techniques -- Combinatorics and Discrete Distributions -- Univariate Distributions -- Univariate Statistical Analysis -- Basic Nonparametric Methods -- Multivariate Distributions -- Multivariate Statistical Analysis -- Random Numbers in R -- Advanced Graphical Techniques in R -- Symbols and Notations.
Record Nr. UNINA-9910254309603321
Härdle Wolfgang Karl  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Basics of Item Response Theory Using R / / by Frank B. Baker, Seock-Ho Kim
The Basics of Item Response Theory Using R / / by Frank B. Baker, Seock-Ho Kim
Autore Baker Frank B.
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XIV, 174 p. 35 illus., 1 illus. in color.)
Disciplina 150.287
Collana Statistics for Social and Behavioral Sciences
Soggetto topico Social sciences - Statistical methods
Educational tests and measurements
Psychometrics
Statistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Assessment and Testing
Statistical Theory and Methods
ISBN 9783319542058
3319542052
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Getting Started -- 1. The Item Characteristic Curve -- 2. Item Characteristic Curve Models -- 3. Estimating Item Parameters -- 4. The Test Characteristic Curve -- 5. Estimating an Examinee’s Ability -- 6. The Information Function -- 7. Test Calibration -- 8. Specifying the Characteristics of a Test -- Appendix A: R Introduction -- Appendix B: Estimating Item Parameters under the Two-Parameter Model with Logistic Regression -- Appendix C: Putting the Three Tests on a Common Ability Scale: Test Equating -- References -- Index.
Record Nr. UNINA-9910254308703321
Baker Frank B.  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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