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Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science [[electronic resource] ] : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Motivation research (Marketing) Mathematics Visualization Social sciences Psychometrics Statistics for Social Sciences, Humanities, Law Statistical Theory and Methods Consumer Behavior Methodology of the Social Sciences |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNISA-996418190803316 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama
| Advanced Studies in Behaviormetrics and Data Science : Essays in Honor of Akinori Okada / / edited by Tadashi Imaizumi, Atsuho Nakayama, Satoru Yokoyama |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 472 p. 136 illus., 69 illus. in color.) |
| Disciplina | 658.8342 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Social sciences - Statistical methods
Statistics Consumer behavior Information visualization Sociology - Methodology Psychometrics Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Statistical Theory and Methods Consumer Behavior Data and Information Visualization Sociological Methods |
| ISBN | 981-15-2700-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Co-clustering for object by variable data matrices -- How to use the Hermitian Form Model for asymmetric MDS -- Asymmetric scaling models for square contingency tables: points, circles, arrows, and odds ratios -- Comparing partitions of the Petersen graph -- Minkowski distances and standardisation for clustering and classification on high dimensional data. . |
| Record Nr. | UNINA-9910484981703321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi
| Advanced Studies in Classification and Data Science / / edited by Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XI, 524 p. 121 illus., 64 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Studies in Classification, Data Analysis, and Knowledge Organization |
| Soggetto topico |
Statistics
Information visualization Sociology - Methodology Consumer behavior Applied Statistics Statistical Theory and Methods Data and Information Visualization Sociological Methods Consumer Behavior |
| ISBN |
9789811533112
9811533113 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Multilevel model-based clustering: A new proposal of maximum-a-posteriori assignment -- Chapter 2. Multi-citeria classifications in regional development modelling -- Chapter 3. Non-parametric latent modeling and network clustering -- Chapter 4. Efficient, Geometrically-adaptive Techniques for Multiscale Gaussian-kernel SVM Classification -- Chapter 5. Random forests followed by computed ABC analysis as a feature selection method for machine-learning in biomedical data -- Chapter 6. Non-Hierarchical Clustering for Large Data without Recalculating Cluster Center -- Chapter 7. Supervised Nested Algorithm for Classification based on K-means -- Chapter 8. Using Classification of Regions Based on the Complexity of the Global Progress Indices for Supporting Development in Competitiveness -- Chapter 9. Estimation Methods Based on Weighting Clusters -- Chapter 10. Five Strategies for Accommodating Overdispersion in Simple Correspondence Analysis -- Chapter 11. From Joint Graphical Display to Bi-Modal Clustering: [2] Dual Space Versus Total Space -- Chapter 12. Linear Time Visualization and Search in Big Data using Pixellated Factor Space Mapping -- Chapter 13. From Joint Graphical Display to Bi-Modal Clustering: [1] A Giant Leap in Quantication Theory -- Chapter 14. External Logistic Biplots for Mixed Types of Data -- Chapter 15. Functional clustering approach for analysis of concentration -- Chapter 16. Generalized additive models for the detection of copy number variations (CNVs) using multi gene panel sequencing data -- Chapter 17. Variable selection for classification of multivariate functional data -- Chapter 18. Initial value selection for the alternating least squares algorithm -- Chapter 19. Inference for General MANOVA Based on ANOVA-Type Statistic -- Chapter 20. How To Cross the River? - New ‘Distance’Measures -- Chapter 21. New Statistical Matching Method Using Multinomial Logistic Regression Model -- Chapter 22. Constructing graphical models for multi-source data: Sparse Network And Component analysis -- Chapter 23. Understanding Malvestuto’s normalized mutual information -- Chapter 24. Understanding the Rand index -- Chapter 25. Layered Multivariate Regression with Its Applications -- Chapter 26. An exploratory study on the clumpiness measure of intertransaction times: how is it useful for customer relationship management? -- Chapter 27. Data Quality Management of Chain Stores based on Outlier Detection -- Chapter 28. Analysis of expenditure pattens of virtual marriage households consisting of working couples synthesized by statistical matching method q -- Chapter 29. The Effects of Natural Disasters on Household Income and Poverty in Rural Vietnam: An Analysis Using the Vietnam Household Living Standards Survey -- Chapter 30. Generalizability of relationship between number of tweets about and sales of new beverage products -- Chapter 31. Cluster Distance-Based Regression -- Chapter 32. Bayesian network analysis of fashion behaviour -- Chapter 33. Determining the Similarity Index in Electoral Behavior Analysis: An Issue Voting Behavioral:Mapping -- Chapter 34. Well-Being Measures -- Chapter 35. The Relationship between Household Assets and Choice to Work: Evidence from Japanese Official Microdata -- Chapter 36. Visualization and Spatial Statistical Analysis for Vietnam Household Living Standard Survey -- Chapter 37. Changes in the Gendered Division of Labor and Women’s Economic Contributions within Japanese Couples -- Chapter 38. Employment structures vs. educational capital in the European Union regions -- Chapter 39. The IPUMS Approach to Harmonizing the World’s Population Census Data -- Chapter 40. A Supervised Multiclass Classifieras an Autocoding System for the Family Income and Expenditure Survey -- . |
| Record Nr. | UNINA-9910484518303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar
| Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics / / edited by Brajendra C. Sutradhar |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XIX, 256 p. 12 illus., 6 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Lecture Notes in Statistics - Proceedings |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Statistical Theory and Methods Statistics and Computing |
| ISBN | 3-319-31260-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910254077003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Algebra and Analysis : International Conference on Advances in Mathematical Sciences, Vellore, India, December 2017 - Volume I / / edited by V. Madhu, A. Manimaran, D. Easwaramoorthy, D. Kalpanapriya, M. Mubashir Unnissa
| Advances in Algebra and Analysis : International Conference on Advances in Mathematical Sciences, Vellore, India, December 2017 - Volume I / / edited by V. Madhu, A. Manimaran, D. Easwaramoorthy, D. Kalpanapriya, M. Mubashir Unnissa |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2018 |
| Descrizione fisica | 1 online resource (XVIII, 485 p. 72 illus., 32 illus. in color.) |
| Disciplina | 512 |
| Collana | Trends in Mathematics |
| Soggetto topico |
Algebra
Mathematical analysis Operations research Management science Statistics Analysis Operations Research, Management Science Statistical Theory and Methods |
| ISBN | 3-030-01120-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Algebra -- IT-2 Fuzzy Automata and IT-1 Fuzzy Languages -- Level Sets of i_v_Fuzzy β-Subalgebras.-Interval-Valued Fuzzy Subalgebra and Fuzzy INK-Ideal in INK-Algebra -- On Dendrites Generated by Symmetric Polygonal Systems: The Case of Regular Polygons -- Efficient Authentication Scheme Based on Twisted Near-ring Root Extraction Problem -- Dimensionality Reduction Technique to Solve E-Crime Motives -- Partially Ordered Gamma Near-Rings -- Novel Digital Signature Scheme with Multiple Private Keys on Non-Commutative Division Semirings -- Cozero Divisor Graph of a Commutative Rough Semiring -- Gorenstein FI-Flat Complexes and (Pre)Envelopes -- Bounds of Extreme Energy of an Intuitionistic Fuzzy Directed Graph -- Part 2: Analysis -- On Ultra Separation Axioms via αω-open Sets -- Common Fixed Point Theorems in 2-Metric Spaces using Composition of Mappings via A-Contractions -- Coefficient bounds for a Subclass of m-fold Symmetric λ-pseudo Bi-starlike Functions -- Laplacian and EffectiveResistance Metric in Sierpinski Gasket Fractal -- Some Properties of Certain Class of Uniformly Convex Functions defined by Bessel Functions -- A New Subclass of Uniformly Convex Functions defined by Linear Operator -- Coefficient Bounds of Bi-univalent Functions using Faber Polynomial -- Convexity of Polynomials using Positivity of Trigonometric Sums -- Local Countable Iterated Function Systems.-On Intuitionistic Fuzzy C-ends -- Generalized Absolute Riesz Summability of Orthogonal Series -- Holder Inequalities for Analytic Functions defined by Ruschewyh-type q-difference Operator -- Fuzzy Cut Sets Based Filter for Fixed-Value Impulse Noise Reduction -- On (p, q)-quantum calculus involving quasi-subordination -- Part 3: Operations Research -- Sensitivity Analysis for Spanning Tree -- On Solving Bi-objective Fuzzy Transportation Problem -- Nonlinear Programming Problem for an M-Design Multi Skill Call Center with Impatience Basedon Queuing Model Method -- Optimizing a Production Inventory Model with Exponential Demand Rate, Exponential Deterioration, and Shortages -- Analysis of Batch Arrival Bulk Service Queuing System with Breakdown, Different Vacation Policies, and Multi Phase Repair -- An Improvement to One's BCM for the Balanced and Unbalanced Transshipment Problems by Using Fuzzy Numbers -- An Articulation Point Based Approximation Algorithm for Minimum Vertex Cover Problem -- On Bottleneck-Rough Cost Interval Integer Transportation Problems -- Direct Solving Method of Fully Fuzzy Linear Programming Problems with Equality Constraints Having Positive Fuzzy Numbers -- An Optimal Deterministic Two Warehouse Inventory Model for Deteriorating Items -- Analysis on Time to Recruitment in a Three Grade Marketing Organization Having Classified Sources of Depletion of Two Types with an Extended Threshold and Shortage in Manpower forms Geometric Process -- Neutrosophic Assignment Problem via BnB Algorithm -- Part 4: Statistics -- An Approach to Segment the Hippocampus from T2-Weighted MRI of Human Head Scans for the Diagnosis of Alzheimer's Disease Using Fuzzy C-Means Clustering -- Analysis of M^[X]/G_k/1 Retrial Queuing Model and Stand-by -- μ-Statistically Convergent Mutliple Sequences in Probabilistic Normed Spaces -- A Retrial Queuing Model with Unreliable Server in K Policy -- Two Level Control Policy of an Unreliable Queuing System with Queue Size Dependent Vacation and Vacation Disruption -- Analysis of M/G/1 Priority Retrial G-Queue with Bernoulli Working Vacations -- Time to Recruitment for Organizations having n Types of Policy Decisions with Lag Period for Non-Ideal Wastages -- A Novice's Application of Soft Expert Set: A Case Study on Students' Course Registration -- Dynamics of Stochastic SIRS Model -- Steady State Analysis of Unreliable Preemptive Priority Retrial Queue with Feedback, Two Phase Service under Bernoulli Vacation -- An Unrealizable Optional Stage M^X/G/1 Retrial Queue with Immediate Feedbacks and at most J Vacations -- Weibull Estimates in Reliability - An Order Statistics Approach -- Intuitionistic Fuzzy ANOVA and Its Application using Different Techniques -- A Resolution to Stock Prices Prediction by Developing ANN based Models using PCA -- A Novel Method of Solving Quadratic Programming Problem under Stochastic Conditions. |
| Record Nr. | UNINA-9910309661503321 |
| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi
| Advances in Complex Data Modeling and Computational Methods in Statistics / / edited by Anna Maria Paganoni, Piercesare Secchi |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (210 p.) |
| Disciplina |
005.1
519 519.5 570.15195 620 |
| Collana | Contributions to Statistics |
| Soggetto topico |
Statistics
Mathematics Biometry Dynamics Nonlinear theories Software engineering Statistical Theory and Methods Applications of Mathematics Biostatistics Applied Dynamical Systems Software Engineering |
| ISBN | 3-319-11149-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Antonino Abbruzzo, Angelo M. Mineo: Inferring networks from high-dimensional data with mixed variables -- 2 Federico Andreis, Fulvia Mecatti: Rounding Non-integer Weights in Bootstrapping Non-iid Samples: actual problem or harmless practice? -- 3 Marika Arena, Giovanni Azzone, Antonio Conte, Piercesare Secchi, Simone Vantini: Measuring downsize reputational risk in the Oil & Gas industry -- 4 Laura Azzimonti, Marzia A. Cremona, Andrea Ghiglietti, Francesca Ieva, Alessandra Menafoglio, Alessia Pini, Paolo Zanini: BARCAMP Technology Foresight and Statistics for the Future -- 5 Francesca Chiaromonte, Kateryna D. Makova: Using statistics to shed light on the dynamics of the human genome: A review -- 6 Nader Ebrahimi, Ehsan S. Soofi and Refik Soyer: Information Theory and Bayesian Reliability Analysis: Recent Advances -- 7 Stephan F. Huckemann: (Semi-) Intrinsic Statistical Analysis on non-Euclidean Spaces -- 8 John T. Kent: An investigation of projective shape space -- 9 Fabio Manfredini, Paola Pucci, Piercesare Secchi, Paolo Tagliolato, Simone Vantini, Valeria Vitelli: Treelet Decomposition of Mobile Phone Data for Deriving City Usage and Mobility Pattern in the Milan Urban Region -- 10 Cristina Mazzali, Mauro Maistriello, Francesca Ieva, Pietro Barbieri: Methodological issues in the use of administrative databases to study heart failure -- 11 Andrea Mercatant: Bayesian inference for randomized experiments with noncompliance and nonignorable missing data -- 12 Antonio Pulcini, Brunero Liseo: Approximate Bayesian Quantile Regression for Panel Data -- 13 Laura M. Sangalli: Estimating surfaces and spatial fields via regression models with differential regularization. . |
| Record Nr. | UNINA-9910299763803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / / edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo
| Advances in Compositional Data Analysis : Festschrift in Honour of Vera Pawlowsky-Glahn / / edited by Peter Filzmoser, Karel Hron, Josep Antoni Martín-Fernández, Javier Palarea-Albaladejo |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XVIII, 404 p. 113 illus., 91 illus. in color.) |
| Disciplina | 519.5 |
| Altri autori (Persone) | Pawlowsky-GlahnVera |
| Soggetto topico |
Statistics
Biometry Geochemistry Statistical Theory and Methods Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences Biostatistics |
| ISBN | 3-030-71175-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- J.J. Egozcue and W.L. Maldonado: An interpretable orthogonal decomposition of positive square matrices -- Part I Fundamentals -- I. Erb and N. Ay: The information-geometric perspective of compositional data analysis -- D.R. Lovell: Log-ratio analysis of finite precision data: caveats, and connections to digital lines and number theory -- G. Mateu-Figueras, G.S. Monti and J.J. Egozcue: Distributions on the simplex revisited -- J. Graffelman: Compositional biplots: a story of false leads and hidden features revealed by the last dimensions -- Part II Statistical Methodology -- K. Fačevicová, P. Kynčlová and K. Macků: Geographically weighted regression analysis for two-factorial compositional data -- C. Barceló-Vidal and J.A. Martín-Fernández: Factor analysis of compositional data with a total -- M. Gallo, V. Simonacci and V. Todorov: A compositional three-way approach for student satisfaction analysis -- M. Templ: Artificial neuralnetworks to impute rounded zeros in compositional data -- E. Saus–Sala, À. Farreras–Noguer, N. Arimany–Serrat, and G. Coenders: Compositional du pont analysis. A visual tool for strategic financial performance assessment -- A. Menafoglio: Spatial statistics for distributional data in Bayes spaces: from object-oriented kriging to the analysis of warping functions -- C. Thomas-Agnan, T. Laurent, A. Ruiz-Gazen, N. Thi Huong An, R. Chakir and A. Lungarska: Spatial simultaneous autoregressive models for compositional data: application to land use -- Part III Applications -- A. Buccianti, C. Gozzi: The whole versus the parts: the challenge of compositional data analysis (CoDA) methods for geochemistry -- M.A. Engle and J.A. Chaput: Groundwater origin determination in historic chemical datasets through supervised compositional data analysis: Brines of the Permian Basin, USA -- J.M. McKinley, U. Mueller, P.M. Atkinson, U. Ofterdinger, S.F. Cox, R. Doherty, D. Fogarty and J.J. Egozcue -- Chronic kidney disease of uncertain aetiology and its relation with waterborne environmental toxins: An investigation via compositional balances -- R.A. Olea, J.A. Martín-Fernández and W.H. Craddock: Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers -- J.R. Wu, J.M. Macklaim, B.L. Genge and G.B. Gloor: Finding the centre: compositional asymmetry in high-throughput sequencing datasets -- L. Huang and H. Li: Bayesian balance-regression in microbiome studies using stochastic search -- D.E. McGregor, P.M. Dall, J. Palarea-Albaladejo and S.F.M. Chastin: Compositional data analysis in physical activity and health research. Looking for the right balance -- D. Dumuid, Ž. Pedišić, J. Palarea-Albaladejo, J.A. Martín-Fernández, K. Hron and T. Olds: Compositional data analysis in time-use epidemiology. |
| Record Nr. | UNINA-9910484712403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan / / edited by Abdelaati Daouia, Anne Ruiz-Gazen
| Advances in Contemporary Statistics and Econometrics : Festschrift in Honor of Christine Thomas-Agnan / / edited by Abdelaati Daouia, Anne Ruiz-Gazen |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (713 pages) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Econometrics Social sciences - Statistical methods Statistical Theory and Methods Statistics in Business, Management, Economics, Finance, Insurance Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy |
| ISBN | 3-030-73249-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Preface -- Acknowledgements -- Contents -- Contributors -- Nonparametric Statistics and Econometrics -- Profile Least Squares Estimators in the Monotone Single Index Model -- 1 Introduction -- 2 General Conditions and the Functions n, and ψ -- 3 The Limit Theory for the SSE -- 4 The Limit Theory for ESE and Cubic Spline Estimator -- 5 Simulation and Comparisons with Other Estimators -- 6 Concluding Remarks -- References -- Optimization by Gradient Boosting -- 1 Introduction -- 2 Gradient Boosting -- 2.1 Mathematical Context -- 2.2 Some Examples -- 2.3 Two Algorithms -- 3 Convergence of the Algorithms -- 3.1 Algorithm 1 -- 3.2 Algorithm 2 -- 4 Large Sample Properties -- References -- Nonparametric Model-Based Estimators for the Cumulative Distribution Function of a Right Censored Variable in a Small Area -- 1 Introduction -- 2 Estimation of the Cdf of a Censored Variable in a Small Area -- 2.1 Framework -- 2.2 Direct Estimators -- 2.3 The New Small Area Estimator -- 3 Model-Based Simulations -- 3.1 Description -- 3.2 Results -- 4 Example -- 5 Concluding Remarks -- References -- Relaxing Monotonicity in Endogenous Selection Models and Application to Surveys -- 1 Introduction -- 2 Preliminaries -- 2.1 Notations -- 2.2 Baseline Setup -- 2.3 NMAR Missing Data -- 3 Models with One Unobservable in the Endogenous Selection -- 4 Monotonicity -- 5 A Random Coefficients Model for the Selection Equation -- 5.1 Scaling to Handle Genuine Non Instrument Monotonicity -- 5.2 Alternative Scaling Under a Weak Version of Monotonicity -- 6 Application to Missing Data in Surveys -- References -- B-Spline Estimation in a Survey Sampling Framework -- 1 Introduction -- 2 B-Spline Model-Assisted Estimator for Finite Population Totals -- 2.1 B-Spline Model-Assisted Estimation -- 2.2 B-Spline Calibration Estimator.
3 B-Spline Model-Assisted Estimator for Complex Parameters -- 4 B-Spline Imputation for Handling Item Nonresponse -- References -- Computational Outlier Detection Methods in Sliced Inverse Regression -- 1 Introduction -- 2 A Brief Review on Usual SIR -- 3 Outlier Detection Methods in SIR -- 3.1 A Naive Method -- 3.2 TTR Method -- 3.3 BOOT Method -- 4 A Numerical Example -- 4.1 Description of the Simulated Dataset -- 4.2 Numerical Results -- 5 Simulation Results -- 6 A Real Data Application -- 7 Concluding Remarks and Extensions -- References -- Uncoupled Isotonic Regression with Discrete Errors -- 1 Introduction -- 2 Estimation in Uncoupled Regression with Discrete Errors -- 3 Comparison with Coupled Isotonic Regression -- 4 Additional Proofs -- References -- Quantiles and Expectiles -- Partially Linear Expectile Regression Using Local Polynomial Fitting -- 1 Introduction -- 2 Partially Linear Expectile Regression -- 3 Statistical Estimation Methodology -- 3.1 Estimation of the Vector of Regression Coefficients -- 3.2 Estimation of the Nonparametric Part -- 4 Asymptotic Properties and Bandwidth Selection -- 4.1 Optimal Theoretical Bandwidth (Matrix) -- 4.2 Rule-of-Thumb (ROT) Bandwidth Selector -- 5 Simulation Study -- 5.1 Simulation Results for Model 1 -- 5.2 Simulation Results for Model 2 -- 6 Real Data Application -- 7 Further Reading -- References -- Piecewise Linear Continuous Estimators of the Quantile Function -- 1 Introduction -- 2 The Piecewise Quantile Estimators -- 2.1 Definition -- 2.2 First Properties -- 2.3 Mean Integrated Squared Error -- 3 Discussion -- Appendix -- References -- Single-Index Quantile Regression Models for Censored Data -- 1 Introduction -- 2 Model and Estimation -- 3 Asymptotic Results -- 4 Bandwidth Selection -- 5 Numerical Results -- 6 Case Study -- References -- Extreme Lp-quantile Kernel Regression. 1 Introduction -- 2 Lp-quantile Kernel Regression -- 3 Main Results -- 3.1 Intermediate Lp-quantile Regression -- 3.2 Extreme Lp-quantile Regression -- 3.3 Lp-quantile-Based Estimation of the Conditional Tail Index -- 4 Simulation Study -- 5 Real Data Example -- 6 Appendix -- 6.1 Preliminary Results -- 6.2 Proofs of Main Results -- References -- Robust Efficiency Analysis of Public Hospitals in Queensland, Australia -- 1 Introduction -- 2 Methodology -- 2.1 Theoretical Concepts -- 2.2 Nonparametric Estimators -- 3 Variables and Data -- 4 Results and Discussions -- 4.1 Univariate Input-Output Illustration -- 4.2 Main Analysis: Multiple Inputs Case -- 5 Concluding Remarks -- References -- On the Behavior of Extreme d-dimensional Spatial Quantiles Under Minimal Assumptions -- 1 Introduction -- 2 Results -- 3 Proofs -- References -- Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression -- 1 Introduction -- 2 Description of Data and Motivation -- 2.1 Data -- 2.2 Previous Models and Advantages of the New Approach -- 3 Methods -- 3.1 Geoadditive Regression Models -- 3.2 Shape-Constrained P-splines -- 3.3 Semiparametric Expectile Regression -- 4 Estimating and Forecasting Gas Flow -- 4.1 Results -- 4.2 Risk Analysis -- 5 Conclusion -- References -- Spatial Statistics and Econometrics -- Asymptotic Analysis of Maximum Likelihood Estimation of Covariance Parameters for Gaussian Processes: An Introduction with Proofs -- 1 Introduction -- 2 Framework and Notations -- 2.1 Gaussian Processes and Covariance Functions -- 2.2 Classical Families of Covariance Functions -- 2.3 Maximum Likelihood -- 3 Increasing-Domain Asymptotics -- 3.1 Consistency -- 3.2 Asymptotic Normality -- 4 Fixed-Domain Asymptotics -- 4.1 What Changes -- 4.2 Microergodic and Non-microergodic Parameters. 4.3 Consistent Estimation of the Microergodic Parameter of the Isotropic Matérn Model -- 5 Conclusion -- References -- Global Scan Methods for Comparing Two Spatial Point Processes -- 1 Introduction -- 2 Methodology -- 2.1 Spatial Scan Statistics for Bivariate Data -- 2.2 Significance Issues -- 3 Applications -- 3.1 Simulation Study -- 3.2 Forest Fire Occurrences -- 4 Discussion -- References -- Assessing Spillover Effects of Spatial Policies with Semiparametric Zero-Inflated Models and Random Forests -- 1 Introduction -- 2 Conditional Average Treatment Effect, Identification and Model Specification -- 2.1 Identification Issues and Conditional Independence Assumption -- 2.2 Zero Inflation and Conditional Mixtures -- 3 Econometric Modeling and Estimation Procedures -- 3.1 A Flexible Semi-parametric Modeling Approach Based on Additive Models and Conditional Mixtures -- 3.2 Estimation of the Conditional Treatment Effect with Random Forests -- 4 An Illustration on the Estimation of the Effect of Local Development Policies in France -- 4.1 Description of the Policy and Data -- 4.2 Estimation Results and Counterfactual Analysis at the Municipality Level -- 5 Conclusion -- References -- Spatial Autocorrelation in Econometric Land Use Models: An Overview -- 1 Introduction -- 2 Econometric Land Use Models -- 3 Linear Land Use Models -- 3.1 Land Use Share Models -- 3.2 Spatial Autocorrelation in Linear Models -- 3.3 Example of Spatial Land Studies with Linear Models -- 4 Discrete Choice Land Use Models -- 4.1 Individual Choice Land Use Model -- 4.2 Spatial Autocorrelation in Discrete Choice Models -- 4.3 Examples of Spatial Land Use Studies with Discrete Choice Models -- 5 Land Use and Its Impacts on the Environment -- 5.1 Land Use and ES -- 5.2 Land Use and Water Quality -- 5.3 Land Use and Climate Change -- 6 Conclusion -- References. Modeling Dependence in Spatio-Temporal Econometrics -- 1 Introduction -- 2 Spatio-Temporal Statistics -- 2.1 Uncertainty and Data -- 2.2 Uncertainty and Models -- 2.3 Conditional Probabilities in a Hierarchical Statistical Model (HM) -- 2.4 ``Classical'' Statistical Modeling -- 3 Spatio-Temporal-Econometric Modeling -- 3.1 Spatial Description and Temporal Dynamics: A Simple Example -- 3.2 Time Series of Spatial Processes -- 3.3 Space-Time Autoregressive Moving Average (STARMA) Models -- 4 Spatial-Econometric Modeling -- 5 Modern Spatio-Temporal-Econometric Hierarchical Models -- 6 Concluding Remarks -- References -- Guidelines on Areal Interpolation Methods -- 1 Introduction -- 1.1 Motivation -- 1.2 Context -- 2 Notations -- 3 Data -- 3.1 Target Zones -- 3.2 First Source Scale: The Cells -- 3.3 Second Source Scale: The Iris -- 3.4 Variables to Estimate -- 4 Point-in-Polygon Method -- 4.1 Extensive Variables -- 4.2 Intensive Variables -- 4.3 Limitation of the Point-in Polygon Method -- 5 Areal Weighting Interpolation Method -- 5.1 Extensive Variable -- 5.2 Intensive Variable -- 6 Dasymetric Method with Auxiliary Variable X -- 6.1 Extensive Variables -- 6.2 Intensive Variables -- 7 Dasymetric Method with Control Zones -- 7.1 Presentation of the Method -- 7.2 Comparison Between DAC and DAX -- 8 Regression Modelling -- 8.1 Covariates and Exploratory Analysis -- 8.2 Linear Modelling -- 8.3 Regression Tree -- References -- Predictions in Spatial Econometric Models: Application to Unemployment Data -- 1 Introduction -- 1.1 Related Literature -- 2 Notation, Models, and Prediction Formula -- 2.1 Notation and the Spatial Autoregressive Durbin Model -- 2.2 In-Sample and Out-of-Sample Units -- 2.3 In-Sample Prediction Formulas -- 2.4 Out-of-Sample Prediction Formulas -- 3 Application -- 3.1 Theoretical Explanations for Regional Unemployment Differentials. 3.2 Data and Definition of Neighborhood Structure. |
| Record Nr. | UNINA-9910485587103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017 / / edited by Ratan Dasgupta
| Advances in Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute—Proceedings 2017 / / edited by Ratan Dasgupta |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 202 p. 132 illus., 81 illus. in color.) |
| Disciplina | 330.015195 |
| Soggetto topico |
Statistics
Economic development Econometrics Statistics in Business, Management, Economics, Finance, Insurance Economic Growth Statistical Theory and Methods |
| ISBN |
9789811309809
981-13-0980-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Longitudinal studies on Mathematical Aptitude and Intelligence Quotient in North Eastern tribes -- Cross sectional studies on Mathematical Aptitude and Intelligent Quotient in North Eastern tribes -- Retrospective longitudinal studies of social environment in North Eastern tribes -- Growth models for repeated measurement mixture experiments -- Growth models for repeated measurement mixture experiments: optimal designs for growth prediction -- An overview of growth and nutritional status among 5-18 year children in India -- Growth model for micro-particle ensemble probability -- Past and present status of Mangroves in Sunderban from ecological viewpoint -- Longitudinal Growth curve of Elephant foot yam under stress and plant sensitivity. |
| Record Nr. | UNINA-9910349474503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Growth Curve Models : Topics from the Indian Statistical Institute / / edited by Ratan Dasgupta
| Advances in Growth Curve Models : Topics from the Indian Statistical Institute / / edited by Ratan Dasgupta |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina | 519.53 |
| Altri autori (Persone) | DasguptaRatan |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Biometry Statistical Theory and Methods Biostatistics |
| ISBN | 1-4614-6862-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Yam Growth Experiment and Above-ground Biomass as Possible Predictor -- Some Statistical Perspectives of Growth Models in Health Care Plans -- Testing of Growth Curves with Cubic Smoothing Splines -- Non uniform Rates of Convergence to Normality for Two sample U-statistics in Non IID Case with Applications -- Correlated Bivariate Linear Growth Models: Optimal Designs for Slope Parameter Estimation -- Optimal-Time Harvest of Elephant Foot Yam and Related Theoretical Issues -- Evolution of Scour and velocity fluctuation due to turbulence around cylinders -- South Pole Ozone Profile and Lower Tolerance Limit -- Population Distribution of Human Growth Curve Parameters Through a Combination of Longitudinal and Cross-sectional Data -- Tuber Crop Growth and Pareto Model -- Effect of past demographic events on the mtDNA mismatch distribution among the Adi tribe of Arunachal Pradesh, India -- Growth Curve Model in Relation to Extremal Processes based on Stationary Random Variables -- A Method of Population Projection by Using Leslie Matrix in Indian Context -- Indian Statistical Institute and Tata Motors Pune: Growth curve for cumulative defects -- Growth and Nutritional Status of Pre-school Children: A Comparative Study of Jharkhand, Bihar and West Bengal. . |
| Record Nr. | UNINA-9910438144003321 |
| New York, NY : , : Springer New York : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Soggetto topico
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Statistical Theory and Methods
(853)
- Statistics (774)
- Biostatistics (217)
- Biometry (205)
- Statistics and Computing (159)