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End-to-end data analytics for product development : a practical guide for fast consumer goods companies, chemical industry and processing tools manufacturers / / Rosa Arboretti [and three others]
End-to-end data analytics for product development : a practical guide for fast consumer goods companies, chemical industry and processing tools manufacturers / / Rosa Arboretti [and three others]
Autore Arboretti Rosa
Edizione [1st edition]
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2020]
Descrizione fisica 1 online resource (314 pages)
Disciplina 658.575015195
Soggetto topico New products - Management - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-5231-3298-1
1-119-48371-9
1-119-48372-7
1-119-48370-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910555276603321
Arboretti Rosa  
Hoboken, New Jersey : , : Wiley, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonparametric statistics : 4th isnps, salerno, italy, june 2018 / / Michele La Rocca, Brunero Liseo, and Luigi Salmaso (editors)
Nonparametric statistics : 4th isnps, salerno, italy, june 2018 / / Michele La Rocca, Brunero Liseo, and Luigi Salmaso (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (X, 547 p. 101 illus., 56 illus. in color.)
Disciplina 519.5
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Nonparametric statistics
ISBN 3-030-57306-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino) -- Change of Measure Applications in Nonparametric Statistics (Mayer Alvo) -- Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model (Alessandra Amendola, Vincenzo Candila and Giampiero M. Gallo) -- Goodness-of-fit test for the baseline hazard rate (Anfriani, A. and Butucea, C. and Gerardin E. and Jeantheau, T. and Lecleire U.) -- Permutation tests for multivariate stratified data: synchronized or unsynchronized permutations? (Rosa Arboretti, Eleonora Carrozzo and Luigi Salmaso) -- An extension of the dgLARS method to high-dimensional relative risk regression models (Luigi Augugliaro, Ernst C. Wit and Angelo M. Mineo) -- A kernel goodness-of-fit test for maximum likelihood density estimates of normal mixtures. (Dimitrios Bagkavos and Prakash N. Patil)- Robust estimation of sparse signal with unknown sparsity cluster value (Eduard Belitser, Nurzhan Nurushev, and Paulo Serra) -- Test for sign effect in intertemporal choice experiments: a nonparametric solution (Stefano Bonnini and Isabel Maria Parra Oller) -- Nonparametric first-order analysis of spatial and spatio-temporal point processes (M.I. Borrajo, I. Fuentes-Santos and W. González-Manteiga) -- Bayesian nonparametric prediction with multi-sample data (Federico Camerlenghi, Antonio Lijoi and Igor Prünster) -- Algorithm for Automatic Description of Historical Series of Forecast Error in Electrical Power Grid (Gaia Ceresa, Andrea Pitto, Diego Cirio and Nicolas Omont) -- Linear wavelet estimation in regression with additive and multiplicative noise (Christophe Chesneau, Junke Kou and Fabien Navarro) -- Speeding up algebraic-based sampling via permutations (Francesca Romana Crucinio and Roberto Fontana) -- Obstacle Problems For Nonlocal Operators: A Brief Overview (Donatella Danielli, Arshak Petrosyan, and Camelia A. Pop) -- Low and high resonance components restoration in multichannel data (Daniela De Canditiis and Italia De Feis) -- Kernel circular deconvolution density estimation (Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor) -- Asymptotic for Relative Frequency when Population is Driven by Arbitrary Unknown Evolution (Silvano Fiorin) -- Semantic keywords clustering to optimize Text Ads campaigns (Pietro Fodra, Emmanuel Pasquet, Guillaume Mohr, Bruno Goutorbe, and Matthieu Cornec) -- A Note on Robust Estimation of the Extremal Index (M. Ivette Gomes, Cristina Miranda and Manuela Souto de Miranda) -- Multivariate permutation tests for ordered categorical data (Huiting Huang, Fortunato Pesarin, Rosa Arboretti, Riccardo Ceccato) -- Smooth nonparametric survival analysis (Dimitrios Ioannides and Dimitrios Bagkavos) -- Density estimation using multiscale local polynomial transforms (Maarten Jansen) -- On Sensitivity of Metalearning: An Illustrative Study for Robust Regression (Jan Kalina) -- Function-parametric empirical processes, projections and unitary operators (Estáte Khmaladze) -- Rank-based Analysis of Multivariate Data in Factorial Designs and Its Implementation in R (Maximilian Kiefel and Arne C. Bathke) -- Tests for Independence Involving Spherical Data (Pierre Lafaye de Micheaux, Simos Meintanis and Thomas Verdebout) -- Interval-Wise Testing of Functional Data Defined on Two-dimensional Domains(Patrick B. Langthaler, Alessia Pini and Arne C. Bathke) -- Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas (Evgeny Levi and Radu V. Craiu) -- Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates (Lukusa, M.T. and Phoa, F.K.H.) -- The Discrepancy Method for Extremal Index Estimation (Natalia Markovich) -- Correction for optimisation bias in structured sparse high-dimensional variable selection (Bastien Marquis and Maarten Jansen) -- United Statistical Algorithms and Data Science: An Introduction To The Principles (Subhadeep Mukhopadhyay) -- The Halfspace Depth Characterization Problem (Stanislav Nagy) -- A component multiplicative error model for realized volatility measures (Antonio Naimoli and Giuseppe Storti) -- Asymptotically distribution-free goodness-of-fit tests for testing independence in contingency tables of large dimensions (Thuong T. M. Nguyen) -- Incorporating model uncertainty in the construction of bootstrap prediction intervals for functional time series (Efstathios Paparoditis and Han Lin Shang) -- Measuring and Estimating Overlap of Distributions: A comparison of approaches from various disciplines (Judith H. Parkinson and Arne C. Bathke) -- Bootstrap confidence intervals for sequences of missing values in multivariate time series (Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna) -- On Parametric Estimation of Distribution Tails (Igor Rodionov) -- An empirical comparison of global and local functional depths (Carlo Sguera and Rosa E. Lillo) -- AutoSpec: Detecting Exiguous Frequency Changes in Time Series (David S. Stoffer) -- Bayesian quantile regression in differential equation models (Qianwen Tan and Subhashis Ghosal) -- Predicting plant endemicity based on herbarium data: application to French data (Jessica Tressou, Thomas Haevermans and Liliane Bel) -- Monte Carlo Permutation Tests for Assessing Spatial Dependence at Different Scales (Craig Wang and Reinhard Furrer) -- Introduction to independent counterfactuals (Marcin Wolski) -- The Potential for Nonparametric Joint Latent Class Modeling of Longitudinal and Time-to-Event Data (Ningshan Zhang and Jeffrey S. Simonoff) -- To Rank or to Permute when Comparing an Ordinal Outcome Between Two Groups While Adjusting for a Covariate? (Georg Zimmermann).
Record Nr. UNINA-9910483487303321
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Nonparametric statistics : 4th isnps, salerno, italy, june 2018 / / Michele La Rocca, Brunero Liseo, and Luigi Salmaso (editors)
Nonparametric statistics : 4th isnps, salerno, italy, june 2018 / / Michele La Rocca, Brunero Liseo, and Luigi Salmaso (editors)
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2020]
Descrizione fisica 1 online resource (X, 547 p. 101 illus., 56 illus. in color.)
Disciplina 519.5
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Nonparametric statistics
ISBN 3-030-57306-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Portfolio optimisation via graphical least squares estimation (Saeed Aldahmani, Hongsheng Dai, Qiao-Zhen Zhang and Marialuisa Restaino) -- Change of Measure Applications in Nonparametric Statistics (Mayer Alvo) -- Choosing between weekly and monthly volatility drivers within a Double Asymmetric GARCH-MIDAS model (Alessandra Amendola, Vincenzo Candila and Giampiero M. Gallo) -- Goodness-of-fit test for the baseline hazard rate (Anfriani, A. and Butucea, C. and Gerardin E. and Jeantheau, T. and Lecleire U.) -- Permutation tests for multivariate stratified data: synchronized or unsynchronized permutations? (Rosa Arboretti, Eleonora Carrozzo and Luigi Salmaso) -- An extension of the dgLARS method to high-dimensional relative risk regression models (Luigi Augugliaro, Ernst C. Wit and Angelo M. Mineo) -- A kernel goodness-of-fit test for maximum likelihood density estimates of normal mixtures. (Dimitrios Bagkavos and Prakash N. Patil)- Robust estimation of sparse signal with unknown sparsity cluster value (Eduard Belitser, Nurzhan Nurushev, and Paulo Serra) -- Test for sign effect in intertemporal choice experiments: a nonparametric solution (Stefano Bonnini and Isabel Maria Parra Oller) -- Nonparametric first-order analysis of spatial and spatio-temporal point processes (M.I. Borrajo, I. Fuentes-Santos and W. González-Manteiga) -- Bayesian nonparametric prediction with multi-sample data (Federico Camerlenghi, Antonio Lijoi and Igor Prünster) -- Algorithm for Automatic Description of Historical Series of Forecast Error in Electrical Power Grid (Gaia Ceresa, Andrea Pitto, Diego Cirio and Nicolas Omont) -- Linear wavelet estimation in regression with additive and multiplicative noise (Christophe Chesneau, Junke Kou and Fabien Navarro) -- Speeding up algebraic-based sampling via permutations (Francesca Romana Crucinio and Roberto Fontana) -- Obstacle Problems For Nonlocal Operators: A Brief Overview (Donatella Danielli, Arshak Petrosyan, and Camelia A. Pop) -- Low and high resonance components restoration in multichannel data (Daniela De Canditiis and Italia De Feis) -- Kernel circular deconvolution density estimation (Marco Di Marzio, Stefania Fensore, Agnese Panzera, Charles C. Taylor) -- Asymptotic for Relative Frequency when Population is Driven by Arbitrary Unknown Evolution (Silvano Fiorin) -- Semantic keywords clustering to optimize Text Ads campaigns (Pietro Fodra, Emmanuel Pasquet, Guillaume Mohr, Bruno Goutorbe, and Matthieu Cornec) -- A Note on Robust Estimation of the Extremal Index (M. Ivette Gomes, Cristina Miranda and Manuela Souto de Miranda) -- Multivariate permutation tests for ordered categorical data (Huiting Huang, Fortunato Pesarin, Rosa Arboretti, Riccardo Ceccato) -- Smooth nonparametric survival analysis (Dimitrios Ioannides and Dimitrios Bagkavos) -- Density estimation using multiscale local polynomial transforms (Maarten Jansen) -- On Sensitivity of Metalearning: An Illustrative Study for Robust Regression (Jan Kalina) -- Function-parametric empirical processes, projections and unitary operators (Estáte Khmaladze) -- Rank-based Analysis of Multivariate Data in Factorial Designs and Its Implementation in R (Maximilian Kiefel and Arne C. Bathke) -- Tests for Independence Involving Spherical Data (Pierre Lafaye de Micheaux, Simos Meintanis and Thomas Verdebout) -- Interval-Wise Testing of Functional Data Defined on Two-dimensional Domains(Patrick B. Langthaler, Alessia Pini and Arne C. Bathke) -- Assessing Data Support for the Simplifying Assumption in Bivariate Conditional Copulas (Evgeny Levi and Radu V. Craiu) -- Semiparametric weighting estimations of a zero-inflated Poisson regression with missing in covariates (Lukusa, M.T. and Phoa, F.K.H.) -- The Discrepancy Method for Extremal Index Estimation (Natalia Markovich) -- Correction for optimisation bias in structured sparse high-dimensional variable selection (Bastien Marquis and Maarten Jansen) -- United Statistical Algorithms and Data Science: An Introduction To The Principles (Subhadeep Mukhopadhyay) -- The Halfspace Depth Characterization Problem (Stanislav Nagy) -- A component multiplicative error model for realized volatility measures (Antonio Naimoli and Giuseppe Storti) -- Asymptotically distribution-free goodness-of-fit tests for testing independence in contingency tables of large dimensions (Thuong T. M. Nguyen) -- Incorporating model uncertainty in the construction of bootstrap prediction intervals for functional time series (Efstathios Paparoditis and Han Lin Shang) -- Measuring and Estimating Overlap of Distributions: A comparison of approaches from various disciplines (Judith H. Parkinson and Arne C. Bathke) -- Bootstrap confidence intervals for sequences of missing values in multivariate time series (Maria Lucia Parrella, Giuseppina Albano, Michele La Rocca and Cira Perna) -- On Parametric Estimation of Distribution Tails (Igor Rodionov) -- An empirical comparison of global and local functional depths (Carlo Sguera and Rosa E. Lillo) -- AutoSpec: Detecting Exiguous Frequency Changes in Time Series (David S. Stoffer) -- Bayesian quantile regression in differential equation models (Qianwen Tan and Subhashis Ghosal) -- Predicting plant endemicity based on herbarium data: application to French data (Jessica Tressou, Thomas Haevermans and Liliane Bel) -- Monte Carlo Permutation Tests for Assessing Spatial Dependence at Different Scales (Craig Wang and Reinhard Furrer) -- Introduction to independent counterfactuals (Marcin Wolski) -- The Potential for Nonparametric Joint Latent Class Modeling of Longitudinal and Time-to-Event Data (Ningshan Zhang and Jeffrey S. Simonoff) -- To Rank or to Permute when Comparing an Ordinal Outcome Between Two Groups While Adjusting for a Covariate? (Georg Zimmermann).
Record Nr. UNISA-996418182503316
Cham, Switzerland : , : Springer, , [2020]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Parametric and nonparametric inference for statistical dynamic shape analysis with applications [[electronic resource] /] / by Chiara Brombin, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, Caterina Fusilli
Parametric and nonparametric inference for statistical dynamic shape analysis with applications [[electronic resource] /] / by Chiara Brombin, Luigi Salmaso, Lara Fontanella, Luigi Ippoliti, Caterina Fusilli
Autore Brombin Chiara
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (120 p.)
Disciplina 519.5
Collana SpringerBriefs in Statistics
Soggetto topico Statistics 
Mathematical statistics
Computer mathematics
Statistical Theory and Methods
Probability and Statistics in Computer Science
Computational Mathematics and Numerical Analysis
ISBN 3-319-26311-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Offset Normal Distribution for Dynamic Shapes -- Basic Concepts and Definitions -- Shape Inference and the Offset-Normal Distribution -- Dynamic Shape Analysis Through the Offset-Normal Distribution -- Part II Combination-Based Permutation Tests for Shape Analysis -- Parametric and Non-Parametric Testing of Mean Shapes -- Applications of NPC Methodology -- Shape Inference and the Offset-Normal Distribution. .
Record Nr. UNINA-9910254080203321
Brombin Chiara  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data [[electronic resource] /] / by Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso
Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data [[electronic resource] /] / by Rosa Arboretti, Arne Bathke, Stefano Bonnini, Paolo Bordignon, Eleonora Carrozzo, Livio Corain, Luigi Salmaso
Autore Arboretti Rosa
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (90 pages)
Disciplina 382.072
Collana SpringerBriefs in Statistics
Soggetto topico Statistics 
Mathematical statistics
Computer mathematics
Statistical Theory and Methods
Probability and Statistics in Computer Science
Computational Mathematics and Numerical Analysis
ISBN 3-319-91740-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The CUB models -- Chapter 2. Customer satisfaction heterogeneity -- Chapter 3. Ranking multivariate populations -- Chapter 4. Composite indicators and satisfaction profiles -- Chapter 5. Analyzing Survey Data Using Multivariate Rank-Based Inference.
Record Nr. UNINA-9910300120603321
Arboretti Rosa  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Autore Pesarin Fortunato
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (450 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) SalmasoLuigi
Collana Wiley series in probability and statistics
Soggetto topico Statistical hypothesis testing
Permutations
Multivariate analysis
ISBN 1-282-55043-8
9786612550430
0-470-68951-X
0-470-68952-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Permutation Tests for Complex Data; Contents; Preface; Notation and Abbreviations; 1 Introduction; 1.1 On Permutation Analysis; 1.2 The Permutation Testing Principle; 1.2.1 Nonparametric Family of Distributions; 1.2.2 The Permutation Testing Principle; 1.3 Permutation Approaches; 1.4 When and Why Conditioning is Appropriate; 1.5 Randomization and Permutation; 1.6 Computational Aspects; 1.7 Basic Notation; 1.8 A Problem with Paired Observations; 1.8.1 Modelling Responses; 1.8.2 Symmetry Induced by Exchangeability; 1.8.3 Further Aspects; 1.8.4 The Student's t-Paired Solution
1.8.5 The Signed Rank Test Solution1.8.6 The McNemar Solution; 1.9 The Permutation Solution; 1.9.1 General Aspects; 1.9.2 The Permutation Sample Space; 1.9.3 The Conditional Monte Carlo Method; 1.9.4 Approximating the Permutation Distribution; 1.9.5 Problems and Exercises; 1.10 A Two-Sample Problem; 1.10.1 Modelling Responses; 1.10.2 The Student t Solution; 1.10.3 The Permutation Solution; 1.10.4 Rank Solutions; 1.10.5 Problems and Exercises; 1.11 One-Way ANOVA; 1.11.1 Modelling Responses; 1.11.2 Permutation Solutions; 1.11.3 Problems and Exercises
2 Theory of One-Dimensional Permutation Tests2.1 Introduction; 2.1.1 Notation and Basic Assumptions; 2.1.2 The Conditional Reference Space; 2.1.3 Conditioning on a Set of Sufficient Statistics; 2.2 Definition of Permutation Tests; 2.2.1 General Aspects; 2.2.2 Randomized Permutation Tests; 2.2.3 Non-randomized Permutation Tests; 2.2.4 The p-Value; 2.2.5 A CMC Algorithm for Estimating the p-Value; 2.3 Some Useful Test Statistics; 2.4 Equivalence of Permutation Statistics; 2.4.1 Some Examples; 2.4.2 Problems and Exercises; 2.5 Arguments for Selecting Permutation Tests
2.6 Examples of One-Sample Problems2.6.1 A Problem with Repeated Observations; 2.6.2 Problems and Exercises; 2.7 Examples of Multi-Sample Problems; 2.8 Analysis of Ordered Categorical Variables; 2.8.1 General Aspects; 2.8.2 A Solution Based on Score Transformations; 2.8.3 Typical Goodness-of-Fit Solutions; 2.8.4 Extension to Non-Dominance Alternatives and C Groups; 2.9 Problems and Exercises; 3 Further Properties of Permutation Tests; 3.1 Unbiasedness of Two-sample Tests; 3.1.1 One-Sided Alternatives; 3.1.2 Two-Sided Alternatives; 3.2 Power Functions of Permutation Tests
3.2.1 Definition and Algorithm for the Conditional Power3.2.2 The Empirical Conditional ROC Curve; 3.2.3 Definition and Algorithm for the Unconditional Power: Fixed Effects; 3.2.4 Unconditional Power: Random Effects; 3.2.5 Comments on Power Functions; 3.3 Consistency of Permutation Tests; 3.4 Permutation Confidence Interval for d; 3.4.1 Problems and Exercises; 3.5 Extending Inference from Conditional to Unconditional; 3.6 Optimal Properties; 3.6.1 Problems and Exercises; 3.7 Some Asymptotic Properties; 3.7.1 Introduction; 3.7.2 Two Basic Theorems; 3.8 Permutation Central Limit Theorems
3.8.1 Basic Notions
Record Nr. UNINA-9910139366203321
Pesarin Fortunato  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Permutation tests for complex data [[electronic resource] ] : theory, applications, and software / / Fortunato Pesarin, Luigi Salmaso
Autore Pesarin Fortunato
Pubbl/distr/stampa Hoboken, N.J., : Wiley, 2010
Descrizione fisica 1 online resource (450 p.)
Disciplina 519.5
519.5/6
Altri autori (Persone) SalmasoLuigi
Collana Wiley series in probability and statistics
Soggetto topico Statistical hypothesis testing
Permutations
Multivariate analysis
ISBN 1-282-55043-8
9786612550430
0-470-68951-X
0-470-68952-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Permutation Tests for Complex Data; Contents; Preface; Notation and Abbreviations; 1 Introduction; 1.1 On Permutation Analysis; 1.2 The Permutation Testing Principle; 1.2.1 Nonparametric Family of Distributions; 1.2.2 The Permutation Testing Principle; 1.3 Permutation Approaches; 1.4 When and Why Conditioning is Appropriate; 1.5 Randomization and Permutation; 1.6 Computational Aspects; 1.7 Basic Notation; 1.8 A Problem with Paired Observations; 1.8.1 Modelling Responses; 1.8.2 Symmetry Induced by Exchangeability; 1.8.3 Further Aspects; 1.8.4 The Student's t-Paired Solution
1.8.5 The Signed Rank Test Solution1.8.6 The McNemar Solution; 1.9 The Permutation Solution; 1.9.1 General Aspects; 1.9.2 The Permutation Sample Space; 1.9.3 The Conditional Monte Carlo Method; 1.9.4 Approximating the Permutation Distribution; 1.9.5 Problems and Exercises; 1.10 A Two-Sample Problem; 1.10.1 Modelling Responses; 1.10.2 The Student t Solution; 1.10.3 The Permutation Solution; 1.10.4 Rank Solutions; 1.10.5 Problems and Exercises; 1.11 One-Way ANOVA; 1.11.1 Modelling Responses; 1.11.2 Permutation Solutions; 1.11.3 Problems and Exercises
2 Theory of One-Dimensional Permutation Tests2.1 Introduction; 2.1.1 Notation and Basic Assumptions; 2.1.2 The Conditional Reference Space; 2.1.3 Conditioning on a Set of Sufficient Statistics; 2.2 Definition of Permutation Tests; 2.2.1 General Aspects; 2.2.2 Randomized Permutation Tests; 2.2.3 Non-randomized Permutation Tests; 2.2.4 The p-Value; 2.2.5 A CMC Algorithm for Estimating the p-Value; 2.3 Some Useful Test Statistics; 2.4 Equivalence of Permutation Statistics; 2.4.1 Some Examples; 2.4.2 Problems and Exercises; 2.5 Arguments for Selecting Permutation Tests
2.6 Examples of One-Sample Problems2.6.1 A Problem with Repeated Observations; 2.6.2 Problems and Exercises; 2.7 Examples of Multi-Sample Problems; 2.8 Analysis of Ordered Categorical Variables; 2.8.1 General Aspects; 2.8.2 A Solution Based on Score Transformations; 2.8.3 Typical Goodness-of-Fit Solutions; 2.8.4 Extension to Non-Dominance Alternatives and C Groups; 2.9 Problems and Exercises; 3 Further Properties of Permutation Tests; 3.1 Unbiasedness of Two-sample Tests; 3.1.1 One-Sided Alternatives; 3.1.2 Two-Sided Alternatives; 3.2 Power Functions of Permutation Tests
3.2.1 Definition and Algorithm for the Conditional Power3.2.2 The Empirical Conditional ROC Curve; 3.2.3 Definition and Algorithm for the Unconditional Power: Fixed Effects; 3.2.4 Unconditional Power: Random Effects; 3.2.5 Comments on Power Functions; 3.3 Consistency of Permutation Tests; 3.4 Permutation Confidence Interval for d; 3.4.1 Problems and Exercises; 3.5 Extending Inference from Conditional to Unconditional; 3.6 Optimal Properties; 3.6.1 Problems and Exercises; 3.7 Some Asymptotic Properties; 3.7.1 Introduction; 3.7.2 Two Basic Theorems; 3.8 Permutation Central Limit Theorems
3.8.1 Basic Notions
Record Nr. UNINA-9910826910103321
Pesarin Fortunato  
Hoboken, N.J., : Wiley, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research [[electronic resource] /] / by Daniele Manfredini, Rosa Arboretti, Luca Guarda Nardini, Eleonora Carrozzo, Luigi Salmaso
Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research [[electronic resource] /] / by Daniele Manfredini, Rosa Arboretti, Luca Guarda Nardini, Eleonora Carrozzo, Luigi Salmaso
Autore Manfredini Daniele
Edizione [1st ed. 2014.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (89 p.)
Disciplina 617.522
Collana SpringerBriefs in Statistics
Soggetto topico Statistics 
Oral surgery
Maxillofacial surgery
Statistics for Life Sciences, Medicine, Health Sciences
Oral and Maxillofacial Surgery
Statistical Theory and Methods
ISBN 1-4939-0876-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fundamentals -- Etiology and Epidemiology -- Diagnosis and Treatment -- Literature Reviews.
Record Nr. UNINA-9910300154203321
Manfredini Daniele  
New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Topics in Statistical Simulation [[electronic resource] ] : Research Papers from the 7th International Workshop on Statistical Simulation / / edited by V.B. Melas, Stefania Mignani, Paola Monari, Luigi Salmaso
Topics in Statistical Simulation [[electronic resource] ] : Research Papers from the 7th International Workshop on Statistical Simulation / / edited by V.B. Melas, Stefania Mignani, Paola Monari, Luigi Salmaso
Edizione [1st ed. 2014.]
Pubbl/distr/stampa New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (531 p.)
Disciplina 519.24
Collana Springer Proceedings in Mathematics & Statistics
Soggetto topico Statistics 
Statistical Theory and Methods
Statistics, general
ISBN 1-4939-2104-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Queueing Systems with Unreliable Servers in a Random Environment -- Sequential Combining of Expert Information using Mathematica -- Markov-Modulated Samples and Their Applications -- Simulating correlated ordinal and discrete variables -- Probabilistic counterparts for strongly coupled parabolic systems -- Algorithms for Linear Stochastic Delay Differential Equations -- Combined tests for comparing mutabilities of two populations -- Development of an Extensive Forensic Handwriting Database -- Bayes factors and maximum entropy distribution with application to Bayesian tests -- Carlo Algorithm for Simulation of the Vehicular Traffic Flow -- Importance Sampling for multi-constraints rare event probability -- Generating and comparing multivariate ordinal variables by means of permutation tests -- A method for selection of the optimal bandwidth parameter for Beran’s nonparametric Estimator -- Simulating from a family of generalized Archimedean copulas -- PS-algorithms and stochastic computations -- Laws of Large Numbers for Random Variables -- D-optimal saturated designs: a simulation study -- Nonparametric testing of saturated D-optimal designs -- Timely Indices for Residential Construction Sector -- Measures of dependence for infinite variance distributions -- Design of Experiments using R -- The Influence of the Dependency Structure in Combination-Based Multivariate Permutation -- Potential advantages and disadvantages of stratification in methods of randomization -- Additive level outliers in multivariate GARCH models -- A comparison of efficient permutation tests for unbalanced ANOVA in two by two designs -- Likelihood-free Simulation-based Optimal Design: an Introduction -- Time change related to a delayed reflection -- Et tu “Brute Force”? No! A Statistically-Based Approach to Catastrophe Modeling -- Optimizing Local Estimates of the Monte Carlo Method for Problems -- Computer Experiment Designs via Particle Swarm Optimization -- Application of Nonparametric Goodness-of-Fit Tests for Composite Hypotheses -- Simulating from the copula that generates the maximal probability -- Optimization via Information Geometry -- Combined nonparametric tests for the social sciences -- The use of the scalar Monte Carlo estimators for the optimization of the corresponding vector weight algorithms -- Additive cost modelling in clinical trial -- Mathematical problems of statistical simulation of the polarized radiation transfer -- Using a Generalized D2-Distribution for Constructing Exact D-Optimal Designs -- Sample size in approximate sequential designs under several violations of prerequisites -- Numerical stochastic models of meteorological processes and fields -- Comparison of Resampling Techniques for the Non-Causality Hypothesis -- A review of Multilevel Modeling: some methodological issues and advances -- On a Generalization of the Modified Gravity Model -- Bivariate Lorenz Curves based on the Sarmanov-Lee Distribution -- Models with Cross-Effect of Survival Functions in the Analysis of Patients with Multiple Myeloma -- Monte Carlo method for partial differential equations -- The calculation of effective electro-physical parameters for a multiscale isotropic medium -- An Approximate Solution of the Travelling Salesman Problem Based on the Metropolis Simulation with Annealing -- The Supertrack Approach as a Classical Monte Carlo Scheme -- The dependence of the ergodicity on the time effect in the repeated measures ANOVA -- Mixture of extended linear mixed-effects models for clustering of longitudinal data -- The study of the Laplace transform of Marshall-Olkin multivariate exponential distribution.
Record Nr. UNINA-9910299975803321
New York, NY : , : Springer New York : , : Imprint : Springer, , 2014
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