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
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
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. | UNINA-9910483508403321 |
Nayebi Hooshang
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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. | UNINA-9910624380703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Analysis of Doubly Truncated Data [[electronic resource] ] : An Introduction / / by Achim Dörre, Takeshi Emura |
Autore | Dörre Achim |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer 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
Biostatistics Statistical Theory and Methods Applied Statistics Statistics and Computing/Statistics Programs |
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
![]() |
||
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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. | UNINA-9910484485203321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
|
Annual Report on the Big Data of New Energy Vehicle in China (2021) / / by Zhenpo Wang |
Autore | Wang Zhenpo |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore, : Springer Nature, 2023 |
Descrizione fisica | 1 online resource (XIV, 148 p. 211 illus., 209 illus. in color.) |
Disciplina | 629.2 |
Soggetto topico |
Motor vehicles - Design and construction
Quantitative research Statistics Automotive Engineering Data Analysis and Big Data Applied Statistics |
Soggetto non controllato |
New Energy Vehicles (NEVs)
Electric Vehicle (EV) NEVs Technology Improvement Electric Vehicle Driving Characteristics Electric Vehicle Consumer’s Usage Habits Fuel Cell Vehicle (FCV) |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Chapter 1 Overview -- Chapter 2 Promotion and Application of New Energy Vehicles -- Chapter 3 Technical Progress of New Energy Vehicles -- Chapter 4 Operation of New Energy Vehicles -- Chapter 5 Charging of New Energy Vehicles -- Chapter 6 Fuel Cell Electric Vehicles Hydrogen Fuel Cell Vehicles (HFCEVs). |
Record Nr. | UNINA-9910597140203321 |
Wang Zhenpo
![]() |
||
Singapore, : Springer Nature, 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
ANOVA with Dependent Errors [[electronic resource] /] / by Yuichi Goto, Hideaki Nagahata, Masanobu Taniguchi, Anna Clara Monti, Xiaofei Xu |
Autore | Goto Yuichi |
Edizione | [1st ed. 2023.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
Descrizione fisica | 1 online resource (100 pages) |
Disciplina | 519.538 |
Altri autori (Persone) |
NagahataHideaki
TaniguchiMasanobu MontiAnna Clara XuXiaofei |
Collana | JSS Research Series in Statistics |
Soggetto topico |
Statistics
Time-series analysis Multivariate analysis Applied Statistics Statistical Theory and Methods Time Series Analysis Multivariate Analysis |
ISBN | 981-9941-72-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- One-way fixed effects model -- One-way fixed effects model for high-dimensional time series -- One-way fixed and random effects models for correlated groups -- Two-way random effects model for correlated cells -- Optimal test for one-way random effects model -- Numerical analysis -- Empirical data analysis. |
Record Nr. | UNINA-9910734824303321 |
Goto Yuichi
![]() |
||
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|