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Analysis of Categorical Data from Historical Perspectives [[electronic resource] ] : Essays in Honour of Shizuhiko Nishisato / / edited by Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
Analysis of Categorical Data from Historical Perspectives [[electronic resource] ] : Essays in Honour of Shizuhiko Nishisato / / edited by Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
Autore Beh Eric J
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (0 pages)
Disciplina 519
Altri autori (Persone) LombardoRosaria
ClavelJose G
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Statistics
Social sciences - Statistical methods
Quantitative research
Psychometrics
Applied Statistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistical Theory and Methods
Data Analysis and Big Data
ISBN 981-9953-29-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Gratitude: A Life Relived -- Nishisato’s Psychometric World -- My Recollections of People in the World of Data Science -- A Straightforward Approach to Chi-Squared Analysis of Associations in Contingency Tables -- Contrasts for Neyman’s Modified Chi-Square Statistic in One-Way Contingency Tables.
Record Nr. UNINA-9910806195503321
Beh Eric J  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applied Statistical Learning [[electronic resource] ] : With Case Studies in Stata / / by Matthias Schonlau
Applied Statistical Learning [[electronic resource] ] : With Case Studies in Stata / / by Matthias Schonlau
Autore Schonlau Matthias <1967->
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource
Disciplina 519.50285
Collana Statistics and Computing
Soggetto topico Machine learning
Social sciences—Statistical methods
Statistics
Statistics—Computer programs
Quantitative research
Statistical Learning
Machine Learning
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics in Business, Management, Economics, Finance, Insurance
Statistical Software
Data Analysis and Big Data
ISBN 3-031-33390-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- 1 Prologue -- 2 Statistical Learning: Concepts -- 3 Statistical Learning: Practical Aspects -- 4 Logistic Regression -- 5 Lasso and Friends -- 6 Working with Text Data -- 7 Nearest Neighbors -- 8 The Naive Bayes Classifier -- 9 Trees -- 10 Random Forests -- 11 Boosting -- 12 Support Vector Machines -- 13 Feature Engineering -- 14 Neural Networks -- 15 Stacking -- Index.
Record Nr. UNINA-9910736996503321
Schonlau Matthias <1967->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applying Public Opinion in Governance : The Uses and Future of Public Opinion in Managing Government / / by Scott Edward Bennett
Applying Public Opinion in Governance : The Uses and Future of Public Opinion in Managing Government / / by Scott Edward Bennett
Autore Bennett Scott Edward
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2017
Descrizione fisica 1 online resource (XIV, 119 p.)
Disciplina 320.6
Collana Palgrave Studies in Political Marketing and Management
Soggetto topico Political planning
Political science
Social sciences—Statistical methods
Public Policy
Governance and Government
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
ISBN 3-319-54696-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Chapter One: The Scope of Public Opinion and Governance -- Chapter Two: The Recent Historical Context of Public Opinion in Governance -- Chapter Three: Existing Research on Public Opinion and Governance and the Research Expectations for this Work -- Chapter Four: Decision Maker, Manager and Practitioner Perspectives on Public Opinion and Governance -- Chapter Five: A Note on Mass Opinion Relating to the Role of Public Opinion in Governing -- Chapter Six: Summary and Implications -- .
Record Nr. UNINA-9910255291403321
Bennett Scott Edward  
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Applying Test Equating Methods : Using R / / by Jorge González, Marie Wiberg
Applying Test Equating Methods : Using R / / by Jorge González, Marie Wiberg
Autore González Jorge
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XXVI, 196 p. 33 illus., 13 illus. in color.)
Disciplina 371.271
Collana Methodology of Educational Measurement and Assessment
Soggetto topico Educational tests and measurements
Psychometrics
Social sciences - Statistical methods
Assessment and Testing
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
ISBN 3-319-51824-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. General Equating Theory Background -- 2. Preparing Score Distributions -- 3.Traditional Equating Methods -- 4. Kernel Equating -- 5. Item Response Theory Equating -- 6. Local Equating -- 7. Recent Developments in Equating.
Record Nr. UNINA-9910255104903321
González Jorge  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Basic Statistics in Criminology and Criminal Justice / / by David Weisburd, Chester Britt, David B. Wilson, Alese Wooditch
Basic Statistics in Criminology and Criminal Justice / / by David Weisburd, Chester Britt, David B. Wilson, Alese Wooditch
Autore Weisburd David
Edizione [5th ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (xxi, 612 pages) : illustrations
Disciplina 364.015195
Soggetto topico Criminology
Social sciences - Statistical methods
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
ISBN 3-030-47967-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction: Statistics as a Research Tool -- Measurement: the Basic Building Block of Research -- Representing and Displaying Data -- Describing the Typical Case: Measures of Central Tendency -- How Typical is the Typical Case?: Measuring Dispersion -- The Logic of Statistical Inference: Making Statements About Populations from Sample Statistics -- Defining the Observed Significance Level of a Test: A simple Example Using the Binomial Distribution -- Steps in a Statistical Test: Using the Binomial Distribution to Make Decisions About Hypotheses -- Chi-Square: A Test Commonly Used for Nominal-Level Measures -- The Normal Distribution and Its Application to Tests of Statistical Significance -- Comparing Means and Proportions in Two Samples -- Comparing Means Among More than Two Samples: Analysis of Variance -- Measures of Association for Nominal and Ordinal Variables -- Measuring Association for Interval-Level Data: Pearson’s Correlation Coefficient -- An Introduction to Bivariate Regression.
Record Nr. UNINA-9910440647103321
Weisburd David  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R [[electronic resource] /] / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNISA-996495166503316
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann
Bayes Factors for Forensic Decision Analyses with R / / by Silvia Bozza, Franco Taroni, Alex Biedermann
Autore Bozza Silvia
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XII, 187 p. 22 illus., 5 illus. in color.)
Disciplina 519.5
Collana Springer Texts in Statistics
Soggetto topico Statistics
Mathematical statistics—Data processing
Forensic sciences
Medical jurisprudence
Forensic psychology
Social sciences—Statistical methods
Statistical Theory and Methods
Statistics and Computing
Forensic Science
Forensic Medicine
Forensic Psychology
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Criminalística
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
Soggetto non controllato Bayes factor
scientific evidence
decision making
forensic science
uncertainty management
probability theory
forensic
decision analysis
Bayesian modeling
R
Bayesian statistics
probabilistic inference
ISBN 3-031-09839-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction to the Bayes factor and decision analysis -- Chapter 2: Bayes factor for model choice -- Chapter 3: Bayes factor for evaluative purposes -- Chapter 4: Bayes factor for investigative purposes.
Record Nr. UNINA-9910623993803321
Bozza Silvia  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Autore Matsuura Kentaro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (395 pages)
Disciplina 519.542
Soggetto topico Mathematical statistics - Data processing
Statistics
Biometry
Social sciences - Statistical methods
Statistics and Computing
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Biostatistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 9789811947551
9789811947544
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data.
Record Nr. UNISA-996508571103316
Matsuura Kentaro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Bayesian Statistical Modeling with Stan, R, and Python [[electronic resource] /] / by Kentaro Matsuura
Autore Matsuura Kentaro
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (395 pages)
Disciplina 519.542
Soggetto topico Mathematical statistics - Data processing
Statistics
Biometry
Social sciences - Statistical methods
Statistics and Computing
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Biostatistics
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Estadística bayesiana
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 9789811947551
9789811947544
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction -- Introduction of Stan -- Essential Components and Techniques for Experts -- Advanced Topics for Real-world Data.
Record Nr. UNINA-9910645896403321
Matsuura Kentaro  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Capturing the Senses [[electronic resource] ] : Digital Methods for Sensory Archaeologies / / edited by Giacomo Landeschi, Eleanor Betts
Capturing the Senses [[electronic resource] ] : Digital Methods for Sensory Archaeologies / / edited by Giacomo Landeschi, Eleanor Betts
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIV, 264 p. 95 illus., 74 illus. in color.)
Disciplina 300.727
Collana Quantitative Methods in the Humanities and Social Sciences
Soggetto topico Social sciences—Statistical methods
Archaeology
Application software
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Computer and Information Systems Applications
ISBN 3-031-23133-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Introduction (G.Landeschi and E. Betts) -- More than Modal? exploring affect, affordance, invitation and solicitation (S. Eve and M. Gillings) -- The Senses and the Sacred: a multisensory and digital approach to examining an Ancient Egyptian funerary landscape (E. Sullivan) -- Kinesthetic Archaeologies: digital methods and the reconstruction of movement (S. Dunn) -- Exploring Fragmented data: environments, people and the senses in Virtual Reality (C. Sciuto and A. Foka).-Combining 3D visibility analysis and virtual acoustics analysis for the architectural study of ancient theatres (C. Manzett) -- ‘Please, touch the exhibits’: 3D archaeology for experiential spatialization (E. Bozia) Sailing along the coast of North Etruria: ancient perceptions vs multidisciplinary coastal landscape studies (M. Pasquinucci and G. Landeschi) -- Multisensory Experiences in Archaeological Landscape: sound, vision, and movement in GIS and Virtual Reality. (H. Richards-Rissetto, K. E. Primeau, D. E. Witt, and G. Goodwin) -- Home-making in 17th century Amsterdam: a 3D reconstruction to investigate visual cues in the entrance hall of Pieter de Graeff (1638-1707) (C. Piccoli) -- The Embodied City: a method for multisensory mapping (A.Misharina and E. Betts).
Record Nr. UNINA-9910731000903321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui