Advanced Statistics for Testing Assumed Causal Relationships [[electronic resource] ] : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships [[electronic resource] ] : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi |
| Autore | Nayebi Hooshang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 113 p. 125 illus., 101 illus. in color.) |
| Disciplina | 519.535 |
| Collana | University of Tehran Science and Humanities Series |
| Soggetto topico |
Statistics
Mathematics Social sciences Applied mathematics Engineering mathematics Applied Statistics Mathematics in the Humanities and Social Sciences Applications of Mathematics Statistical Theory and Methods |
| ISBN | 3-030-54754-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis. |
| Record Nr. | UNISA-996418270003316 |
Nayebi Hooshang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi
| Advanced Statistics for Testing Assumed Causal Relationships : Multiple Regression Analysis Path Analysis Logistic Regression Analysis / / by Hooshang Nayebi |
| Autore | Nayebi Hooshang |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XII, 113 p. 125 illus., 101 illus. in color.) |
| Disciplina | 519.535 |
| Collana | University of Tehran Science and Humanities Series |
| Soggetto topico |
Statistics
Mathematics Social sciences Applied mathematics Engineering mathematics Applied Statistics Mathematics in the Humanities and Social Sciences Applications of Mathematics Statistical Theory and Methods |
| ISBN | 3-030-54754-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Multiple Regression Analysis -- 2. Path Analysis -- 3. Logistic Regression Analysis. |
| Record Nr. | UNINA-9910483508403321 |
Nayebi Hooshang
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advancements of Grey Systems Theory in Economics and Social Sciences / / by Camelia Delcea, Liviu-Adrian Cotfas
| Advancements of Grey Systems Theory in Economics and Social Sciences / / by Camelia Delcea, Liviu-Adrian Cotfas |
| Autore | Delcea Camelia |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (340 pages) |
| Disciplina | 330 |
| Collana | Series on Grey System |
| Soggetto topico |
Operations research
Statistics Management science System theory Control theory Operations Research and Decision Theory Applied Statistics Operations Research, Management Science Systems Theory, Control |
| ISBN | 981-19-9932-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | State of the art in Grey Systems Research in Economics and Social Sciences -- Grey Relational Analysis in Companies’ Diagnosis -- Grey Models for Decision-Making Problem -- Risk Assessment using Grey Systems Theory -- Suppliers Selection and Optimal Resources Allocation using Grey-based Models -- Combined Grey-based Methods in Logistics -- Behavioral Assessment using Grey and Hybrid Approaches -- Grey Social Media Analysis and Grey Natural Language Processing -- Grey Clustering in Economic Analysis -- Hybrid-Intelligent Methods in Economics and Social Sciences. |
| Record Nr. | UNINA-9910678263703321 |
Delcea Camelia
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
| Advances and Innovations in Statistics and Data Science [[electronic resource] /] / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina | 519.5 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Artificial intelligence - Data processing Machine learning Biostatistics Applied Statistics Data Science Machine Learning Estadística matemàtica Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-08329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits. |
| Record Nr. | UNISA-996495167803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin
| Advances and Innovations in Statistics and Data Science / / edited by Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina |
519.5
001.422 |
| Collana | ICSA Book Series in Statistics |
| Soggetto topico |
Biometry
Statistics Artificial intelligence - Data processing Machine learning Biostatistics Applied Statistics Data Science Machine Learning Estadística matemàtica Processament de dades |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-08329-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. MiRNA-Gene Activity Interaction Networks (miGAIn): Integrated joint models of miRNA-gene targeting and disturbance in signal processing -- 2. Feature Screening for Ultrahigh-Dimensional Regression with Error-Prone Varables -- 3. Cosine Distribution in the Post-selection Inference of Least Angle Regression -- 4. Learning Finite Gaussian Mixture via Wasserstein Distance -- 5. An Entropy-based Method with Word Embedding Clustering for Comment Ranking -- 6. Estimation in Functional Linear Model with Incomplete Functional Observations -- 7. A Flexible Linear Single Index Proportional Hazards Regression Model for Multivariate Survival Data -- 8. Efficient Estimation of Semiparametric Linear Transformation Model with Left-Truncated and Current Status Data -- 9. Flexible Transformations for Modeling Compositional Data -- 10. Identifiability and Estimation of Autoregressive ARCH Models with Measurement Error -- 11. Modal Regression for Skewed, Truncated, or Contaminated Data with Outliers -- 12. Spatial Multilevel Modeling in the Galveston Bay Recovery Study Survey -- 13. Efficient Experimental Design for Regularized Linear Models -- 14. A Selective Overview of Statistical Models for Identification of Treatment-sensitive Subset -- 15. Analysis of Discrete Compositional Series While Accounting for Informative Time-dependent Cluster Sizes with Application to Air Pollution Related Emergency Room Visits. |
| Record Nr. | UNINA-9910624380703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis of Categorical Data from Historical Perspectives : Essays in Honour of Shizuhiko Nishisato / / edited by Eric J. Beh, Rosaria Lombardo, Jose G. Clavel
| Analysis of Categorical Data from Historical Perspectives : Essays in Honour of Shizuhiko Nishisato / / edited by Eric J. Beh, Rosaria Lombardo, Jose G. Clavel |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 512.55 |
| 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 Categories (Matemàtica) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819953295
9819953294 |
| 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 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Lo trovi qui: Univ. Federico II | ||
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Analysis of Doubly Truncated Data : An Introduction / / by Achim Dörre, Takeshi Emura
| Analysis of Doubly Truncated Data : An Introduction / / by Achim Dörre, Takeshi Emura |
| Autore | Dörre Achim |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XVI, 109 p. 38 illus., 10 illus. in color.) |
| Disciplina | 519.5 |
| Collana | JSS Research Series in Statistics |
| Soggetto topico |
Statistics
Biometry Mathematical statistics - Data processing Statistical Theory and Methods Applied Statistics Biostatistics Statistics and Computing |
| ISBN | 981-13-6241-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Introduction to double-truncation -- Chapter 2: Parametric inference under special exponential family -- Chapter 3: Parametric inference under location-scale family -- Chapter 4: Bayes inference -- Chapter 5: Nonparametric inference -- Chapter 6: Linear regression -- Appendix A: Data (if German company data are available) -- Appendix B: R codes for inference under exponential family -- Appendix C: R codes for inference under location-scale family -- Appendix D: R codes for Bayes inference -- Appendix E: R codes for linear regression. |
| Record Nr. | UNINA-9910350247703321 |
Dörre Achim
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Analytical Methods in Statistics [[electronic resource] ] : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler
| Analytical Methods in Statistics [[electronic resource] ] : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 156 p. 15 illus., 8 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Applied mathematics Engineering mathematics Statistical Theory and Methods Probability Theory and Stochastic Processes Applications of Mathematics Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 3-030-48814-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Y. Güney, J. Jurečková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model -- J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function -- H. L. Koul and P. Geng, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models -- M. Maciak, M. Pešta and S. Vitali, Implied Volatility Surface Estimation via Quantile Regularization -- I. Mizera, A remark on the Grenander estimator -- U. Radojičić and K. Nordhausen, Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace -- P. Vidnerová, J. Kalina and Y. Güney, A Comparison of Robust Model Choice Criteria within a Metalearning Study -- S. Zwanzig and R. Ahmad, On Parameter Estimation for High Dimensional Errors-in-Variables Models. |
| Record Nr. | UNISA-996418277103316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler
| Analytical Methods in Statistics : AMISTAT, Liberec, Czech Republic, September 2019 / / edited by Matúš Maciak, Michal Pešta, Martin Schindler |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (X, 156 p. 15 illus., 8 illus. in color.) |
| Disciplina | 519.5 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Statistics
Probabilities Mathematics Mathematical statistics - Data processing Statistical Theory and Methods Probability Theory Applications of Mathematics Statistics and Computing Applied Statistics |
| ISBN | 3-030-48814-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- Y. Güney, J. Jurečková and O. Arslan, Averaged Autoregression Quantiles in Autoregressive Model -- J. Kalina and P. Vidnerová, Regression Neural Networks with a Highly Robust Loss Function -- H. L. Koul and P. Geng, Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models -- M. Maciak, M. Pešta and S. Vitali, Implied Volatility Surface Estimation via Quantile Regularization -- I. Mizera, A remark on the Grenander estimator -- U. Radojičić and K. Nordhausen, Non-Gaussian Component Analysis: Testing the Dimension of the Signal Subspace -- P. Vidnerová, J. Kalina and Y. Güney, A Comparison of Robust Model Choice Criteria within a Metalearning Study -- S. Zwanzig and R. Ahmad, On Parameter Estimation for High Dimensional Errors-in-Variables Models. |
| Record Nr. | UNINA-9910484485203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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