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Industrial Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
| Industrial Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck |
| Autore | Kenett Ron S |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023 |
| Descrizione fisica | 1 online resource (486 pages) |
| Disciplina | 338.0021 |
| Altri autori (Persone) |
ZacksShelemyahu
GedeckPeter |
| Collana | Statistics for Industry, Technology, and Engineering |
| Soggetto topico |
Mathematical statistics—Data processing
Statistics Statistics and Computing Applied Statistics Estadística industrial Processament de dades Python (Llenguatge de programació) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-28482-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Role of Statistical Methods in Modern Industry -- Basic Tools and Principles of Process Control -- Advanced Methods of Statistical Process Control -- Multivariate Statistical Process Control -- Classical Design and Analysis of Experiments -- Quality by Design -- Computer Experiments -- Cybermanufacturing and Digital Twins -- Reliability Analysis -- Bayesian Reliability Estimation and Prediction -- Sampling Plans for Batch and Sequential Inspection. |
| Record Nr. | UNINA-9910731477803321 |
Kenett Ron S
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| Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Innovations in Multivariate Statistical Modeling [[electronic resource] ] : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen
| Innovations in Multivariate Statistical Modeling [[electronic resource] ] : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina | 780 |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Statistics
Applied Statistics Statistical Theory and Methods Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-13971-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- PART 1: Trends in Multi- and Matrix-Variate Analysis -- Q. Guo, X. Deng and N. Ravishanker: Association-based Optimal Subpopulation Selection of Multivariate Data -- T. B. Mattos, L. A. Matos, V. H Lachos Aldo: Likelihood-Based Inference For Linear Mixed-Effects Models With Censored Response Using Skew-Normal Distribution -- Y. Melnykov, M. Perry, V. Melnykov: Robust Estimation of Multiple Change Points in Multivariate Processes -- T. Botha, J. T Ferreira and A. Bekker: Some Computational Aspects Of A Noncentral Dirichlet Family -- Y. Murat Bulut and Olcay Arslan: Modeling Handwritten Digits Dataset Using The Matrix Variate T Distribution -- B. Byukusenge, D. von Rosen and M. Singull: On The Identification Of Extreme Elements In A Residual For The Gmanova-Manova Model -- M. Billio, R. Casarin, M. Costola and M. Iacopini: Matrix-variate Smooth Transition Models for Temporal Networks -- H. Baghishani and J. Ownuk: A Flexible Matrix-Valued Response Regression For Skewed Data -- J. Trink, H. Haghbin and M. Maadooliat: Multivariate Functional Singular Spectrum Analysis: A Nonparametric Approach for Analyzing Functional Time Series -- M. Greenacre: Compositional Data Analysis — Linear Algebra, Visualization And Interpretation -- A. Alzaatreh, F. Famoye and C. Lee: Multivariate Count Data Regression Models And Their Applications -- A. Iranmanesh, M. Rafiei and D. Nagar: A Generalized Multivariate Gamma Distribution -- PART 2: Aspects of High Dimensional Methodology and Bayesian Learning -- G. D' Angella and C. Hennig: A Comparison Of Different Clustering Approaches For High-Dimensional Presence-Absence Data -- S. Millard, M. Arashi and G. Maribe: High-Dimensional Feature Selection For Logistic Regression Using Blended Penalty Functions -- I. Munaweera, S. Muthukumarana and M. Jafari Jozani: A Generalized Quadratic Garrote Approach Towards Ridge Regression Analysis -- M. Roozbeh: High Dimensional Nonlinear Optimization Problem In Semiparametric Regression Model -- PART 3: Frontiers in Robust Analysis and Mixture Modelling -- A. Punzo and S. D. Tomarchia: Parsimonious Finite Mixtures Of Matrix-Variate Regressions -- F. Zehra Doğru and Olcay Arslan:Robust Multivariate Modelling for Heterogeneous Data Sets With Mixtures of Multivariate Skew Laplace Normal Distributions -- M. Norouzirad, M. Arashi, F. J Marques and F. Esmaeili: Robust Estimation Through Preliminary Testing Based On The Lad-Lasso. |
| Record Nr. | UNISA-996503550403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen
| Innovations in Multivariate Statistical Modeling : Navigating Theoretical and Multidisciplinary Domains / / edited by Andriëtte Bekker, Johannes T. Ferreira, Mohammad Arashi, Ding-Geng Chen |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina |
780
519.535 |
| Collana | Emerging Topics in Statistics and Biostatistics |
| Soggetto topico |
Statistics
Applied Statistics Statistical Theory and Methods Anàlisi multivariable |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-13971-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- PART 1: Trends in Multi- and Matrix-Variate Analysis -- Q. Guo, X. Deng and N. Ravishanker: Association-based Optimal Subpopulation Selection of Multivariate Data -- T. B. Mattos, L. A. Matos, V. H Lachos Aldo: Likelihood-Based Inference For Linear Mixed-Effects Models With Censored Response Using Skew-Normal Distribution -- Y. Melnykov, M. Perry, V. Melnykov: Robust Estimation of Multiple Change Points in Multivariate Processes -- T. Botha, J. T Ferreira and A. Bekker: Some Computational Aspects Of A Noncentral Dirichlet Family -- Y. Murat Bulut and Olcay Arslan: Modeling Handwritten Digits Dataset Using The Matrix Variate T Distribution -- B. Byukusenge, D. von Rosen and M. Singull: On The Identification Of Extreme Elements In A Residual For The Gmanova-Manova Model -- M. Billio, R. Casarin, M. Costola and M. Iacopini: Matrix-variate Smooth Transition Models for Temporal Networks -- H. Baghishani and J. Ownuk: A Flexible Matrix-Valued Response Regression For Skewed Data -- J. Trink, H. Haghbin and M. Maadooliat: Multivariate Functional Singular Spectrum Analysis: A Nonparametric Approach for Analyzing Functional Time Series -- M. Greenacre: Compositional Data Analysis — Linear Algebra, Visualization And Interpretation -- A. Alzaatreh, F. Famoye and C. Lee: Multivariate Count Data Regression Models And Their Applications -- A. Iranmanesh, M. Rafiei and D. Nagar: A Generalized Multivariate Gamma Distribution -- PART 2: Aspects of High Dimensional Methodology and Bayesian Learning -- G. D' Angella and C. Hennig: A Comparison Of Different Clustering Approaches For High-Dimensional Presence-Absence Data -- S. Millard, M. Arashi and G. Maribe: High-Dimensional Feature Selection For Logistic Regression Using Blended Penalty Functions -- I. Munaweera, S. Muthukumarana and M. Jafari Jozani: A Generalized Quadratic Garrote Approach Towards Ridge Regression Analysis -- M. Roozbeh: High Dimensional Nonlinear Optimization Problem In Semiparametric Regression Model -- PART 3: Frontiers in Robust Analysis and Mixture Modelling -- A. Punzo and S. D. Tomarchia: Parsimonious Finite Mixtures Of Matrix-Variate Regressions -- F. Zehra Doğru and Olcay Arslan:Robust Multivariate Modelling for Heterogeneous Data Sets With Mixtures of Multivariate Skew Laplace Normal Distributions -- M. Norouzirad, M. Arashi, F. J Marques and F. Esmaeili: Robust Estimation Through Preliminary Testing Based On The Lad-Lasso. |
| Record Nr. | UNINA-9910635396703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intellectual Property Statistics : Measuring Framework for Standards and Trade in Ideas / / by Eskil Ullberg
| Intellectual Property Statistics : Measuring Framework for Standards and Trade in Ideas / / by Eskil Ullberg |
| Autore | Ullberg Eskil |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (194 pages) |
| Disciplina | 346.048 |
| Altri autori (Persone) | KoopmanRobert |
| Collana | Contributions to Economics |
| Soggetto topico |
International trade
Statistics Technological innovations Sampling (Statistics) International Trade Applied Statistics Economics of Innovation Methodology of Data Collection and Processing |
| ISBN | 3-031-36386-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Theory of Value -- 3. Today’s Balance of Payment Statistics and Data Gap -- 4. Today’s Financial Accounting Standards and Data Gap -- 5. Overview of the Framework -- 6. Description of the Collection and Compilation of Data for each Element -- 7. A Proof-of-Concept Study in Perú -- 8. Can Data be Collected in a Developing Nation?- 9. Future Steps Towards New Standards and Statistics. |
| Record Nr. | UNINA-9910743685803321 |
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Ullberg Eskil
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An Introduction to Clustering with R [[electronic resource] /] / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R [[electronic resource] /] / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani Paolo (Writer on statistics. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 519.53 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Biostatistics R (Computer program language) Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 981-13-0553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section: Introduction -- 1.1 Introduction to clustering -- 1.2 R software -- 2. Section: Standard algorithms -- 2.1 Introduction -- 2.2 Distances and dissimilarities -- 2.3 Hierarchical methods -- 2.4 Non-hierarchical methods -- 2.5 Cluster validity -- 3. Section: Fuzzy algorithms -- 3.1 Introduction -- 3.2 Fuzzy K-means -- 3.3 Fuzzy K-medoids -- 3.4 Other fuzzy variants -- 3.5 Cluster validity -- 4. Section: Model-based algorithms -- 4.1 Introduction -- 4.2 Mixture of Gaussian distributions -- 4.3 Mixture of non-Gaussian distributions -- 4.4 Parsimonious mixture models. |
| Record Nr. | UNINA-9910483712703321 |
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Giordani Paolo (Writer on statistics.
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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An Introduction to Clustering with R [[electronic resource] /] / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R [[electronic resource] /] / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani Paolo (Writer on statistics. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 519.53 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Biostatistics R (Computer program language) Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 981-13-0553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section: Introduction -- 1.1 Introduction to clustering -- 1.2 R software -- 2. Section: Standard algorithms -- 2.1 Introduction -- 2.2 Distances and dissimilarities -- 2.3 Hierarchical methods -- 2.4 Non-hierarchical methods -- 2.5 Cluster validity -- 3. Section: Fuzzy algorithms -- 3.1 Introduction -- 3.2 Fuzzy K-means -- 3.3 Fuzzy K-medoids -- 3.4 Other fuzzy variants -- 3.5 Cluster validity -- 4. Section: Model-based algorithms -- 4.1 Introduction -- 4.2 Mixture of Gaussian distributions -- 4.3 Mixture of non-Gaussian distributions -- 4.4 Parsimonious mixture models. |
| Record Nr. | UNISA-996418271203316 |
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Giordani Paolo (Writer on statistics.
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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An Introduction to Clustering with R / / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R / / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani Paolo (Writer on statistics. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Singapore, 2020 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 519.53 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Biostatistics R (Computer program language) Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 981-13-0553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section: Introduction -- 1.1 Introduction to clustering -- 1.2 R software -- 2. Section: Standard algorithms -- 2.1 Introduction -- 2.2 Distances and dissimilarities -- 2.3 Hierarchical methods -- 2.4 Non-hierarchical methods -- 2.5 Cluster validity -- 3. Section: Fuzzy algorithms -- 3.1 Introduction -- 3.2 Fuzzy K-means -- 3.3 Fuzzy K-medoids -- 3.4 Other fuzzy variants -- 3.5 Cluster validity -- 4. Section: Model-based algorithms -- 4.1 Introduction -- 4.2 Mixture of Gaussian distributions -- 4.3 Mixture of non-Gaussian distributions -- 4.4 Parsimonious mixture models. |
| Record Nr. | UNISA-996601666903316 |
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Giordani Paolo (Writer on statistics.
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| Springer Singapore, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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An Introduction to Clustering with R / / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella
| An Introduction to Clustering with R / / by Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
| Autore | Giordani Paolo (Writer on statistics. |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Springer Singapore, 2020 |
| Descrizione fisica | 1 online resource (346 pages) |
| Disciplina | 519.53 |
| Collana | Behaviormetrics: Quantitative Approaches to Human Behavior |
| Soggetto topico |
Statistics
Biostatistics R (Computer program language) Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics |
| ISBN | 981-13-0553-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section: Introduction -- 1.1 Introduction to clustering -- 1.2 R software -- 2. Section: Standard algorithms -- 2.1 Introduction -- 2.2 Distances and dissimilarities -- 2.3 Hierarchical methods -- 2.4 Non-hierarchical methods -- 2.5 Cluster validity -- 3. Section: Fuzzy algorithms -- 3.1 Introduction -- 3.2 Fuzzy K-means -- 3.3 Fuzzy K-medoids -- 3.4 Other fuzzy variants -- 3.5 Cluster validity -- 4. Section: Model-based algorithms -- 4.1 Introduction -- 4.2 Mixture of Gaussian distributions -- 4.3 Mixture of non-Gaussian distributions -- 4.4 Parsimonious mixture models. |
| Record Nr. | UNINA-9910863135103321 |
|
Giordani Paolo (Writer on statistics.
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| Springer Singapore, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Introduction to Probabilistic and Statistical Methods with Examples in R / / by Katarzyna Stapor
| Introduction to Probabilistic and Statistical Methods with Examples in R / / by Katarzyna Stapor |
| Autore | Stapor Katarzyna |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (163 pages) |
| Disciplina | 519.5 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Statistics
R (Computer program language) Engineering—Data processing Engineering mathematics Applied Statistics Data Engineering Engineering Mathematics |
| ISBN | 3-030-45799-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Elements of Probability Theory -- Descriptive and Inferential Statistics -- Linear Regression and Correlation. |
| Record Nr. | UNINA-9910403765203321 |
|
Stapor Katarzyna
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An Introduction to Statistical Learning : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
| An Introduction to Statistical Learning : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor |
| Autore | James Gareth |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (617 pages) |
| Disciplina | 519.5 |
| Altri autori (Persone) |
WittenDaniela
HastieTrevor TibshiraniRobert TaylorJonathan |
| Collana | Springer Texts in Statistics |
| Soggetto topico |
Statistics
Mathematical statistics - Data processing Statistical Theory and Methods Statistics and Computing Applied Statistics Estadística matemàtica Models matemàtics Python (Llenguatge de programació) |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031387470
3-031-38747-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Statistical Learning -- Linear Regression -- Classification -- Resampling Methods -- Linear Model Selection and Regularization -- Moving Beyond Linearity -- Tree-Based Methods -- Support Vector Machines -- Deep Learning -- Survival Analysis and Censored data -- Unsupervised Learning -- Multiple Testing -- Index. |
| Record Nr. | UNINA-9910734891903321 |
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James Gareth
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soggetto topico
-
Applied Statistics
(80)
- Statistics (48)
- Statistical Theory and Methods (39)
- Statistics (32)
- Biostatistics (12)