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Introduction to Statistics and Data Analysis [[electronic resource] ] : With Exercises, Solutions and Applications in R / / by Christian Heumann, Michael Schomaker, Shalabh
Introduction to Statistics and Data Analysis [[electronic resource] ] : With Exercises, Solutions and Applications in R / / by Christian Heumann, Michael Schomaker, Shalabh
Autore Heumann Christian <1962->
Edizione [2nd ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (584 pages)
Disciplina 330.015195
Soggetto topico Statistics
Quantitative research
Statistics—Computer programs
Statistical Theory and Methods
Data Analysis and Big Data
Applied Statistics
Statistical Software
Estadística
Econometria
Macroeconomia
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-11833-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Logistic Regression -- Part IV Additional Topics Simple Random Sampling and Bootstrapping -- Causality -- Part V Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
Record Nr. UNISA-996508570303316
Heumann Christian <1962->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R / / by Christian Heumann, Michael Schomaker, Shalabh
Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R / / by Christian Heumann, Michael Schomaker, Shalabh
Autore Heumann Christian <1962->
Edizione [2nd ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (584 pages)
Disciplina 330.015195
519.5
Soggetto topico Statistics
Quantitative research
Statistics—Computer programs
Statistical Theory and Methods
Data Analysis and Big Data
Applied Statistics
Statistical Software
Estadística
Econometria
Macroeconomia
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-11833-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Descriptive Statistics: Introduction and Framework -- Frequency Measures and Graphical Representation of Data -- Measures of Central Tendency and Dispersion -- Association of Two Variables -- Part I Probability Calculus: Combinatorics -- Elements of Probability Theory -- Random Variables -- Probability Distributions -- Part III Inductive Statistics: Inference -- Hypothesis Testing -- Linear Regression -- Logistic Regression -- Part IV Additional Topics Simple Random Sampling and Bootstrapping -- Causality -- Part V Appendices: Introduction to R -- Solutions to Exercises -- Technical Appendix -- Visual Summaries.
Record Nr. UNINA-9910647396003321
Heumann Christian <1962->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Kernel Ridge Regression in Clinical Research / / by Ton J. Cleophas, Aeilko H. Zwinderman
Kernel Ridge Regression in Clinical Research / / by Ton J. Cleophas, Aeilko H. Zwinderman
Autore Cleophas Ton J.
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (292 pages)
Disciplina 780
610.727
Soggetto topico Biometry
Clinical medicine - Research
Statistics
Data mining
Big data
Biostatistics
Clinical Research
Applied Statistics
Data Mining and Knowledge Discovery
Big Data
Dades massives
Aprenentatge automàtic
Investigació mèdica
Soggetto genere / forma Llibres electrònics
ISBN 3-031-10717-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Traditional Kernel Regression -- 2. Kernel Ridge Regression -- 3. Optimal Scaling vs Kernel Ridge Regression -- 4. Examples of Published Kernel Ridge Regression Research So Far -- 5. Some Terminology -- 6. Effect of Being Blind on Age/Sex Adjusted Mortality Rate, 11630 Patients, Traditional Regressions vs Kernel Ridge Regression -- 7. Effect of Old Treatment on New Treatment, 35 patients, Traditional Regression vs Kernel Ridge Regression -- 8. Effect of Gene Expressions on Drug Efficacy, 250 Patients, Traditional Regressions vs Kernel Ridge Regression -- 9. Effect of Gender, Treatment, and Their Interaction on Numbers of Paroxysmal Atrial Fibrillations, 40 Patients, Traditional Regressions vs Kernel Ridge Regression -- 10. Effect of Laboratory Predictors on Septic Mortality, 200 Patients, Traditional Regressions vs Kernel Ridge Regression -- 11. Effect of Times on C-reactive Protein Levels, 18 Months, Traditional Regressions vs Kernel Ridge Regression -- 12. Effect of Different Dosages of Prednisone and Beta-agonist on Peakflow, 78 Patients, Traditional Regressions vs Kernel Ridge Regression -- 13. Effect of Race, Age, and Gender on Physical Strength, 60 Patients, Traditional Regressions vs Kernel Ridge Regression -- 14. Effect of Treatment, Age, Gender, and Co-morbidity on Hours of Sleep, 20 Patients, Traditional Regressions vs Kernel Ridge Regression -- 15. Effect of Counseling Frequency and Non-compliance on Monthly Stools, 35 Constipated Patients, Traditional Regressions vs Kernel Ridge Regression -- 16. Effect of Treatment Modality, Counseling, and Satisfaction with Doctor on Quality of Life, 450 Patients, Traditional Regressions vs Kernel Ridge Regression -- 17. Effect of Department and Patient Age Class on Risk of Falling out of Bed, 55 Patients, Traditional Regressions vs Kernel Ridge Regression -- 18. Effect of Diet, Gender, Sport, and Medical Treatment on LDL Cholesterol Reduction, 953 Patients, Traditional Regressions vs Kernel Ridge Regression -- 19. Effect of Gender, Age, Weight, and Height on Measured Body Surface, 90 Patients, Traditional Regressions vs Kernel Ridge Regression -- 20. Effect of General Practitioners' Age, Education, and Type of Practice on Lifestyle Advise Given, 139 Physicians, Traditional Regressions vs Kernel Ridge Regression -- 21. Effect of Treatment, Psychological, and Social Scores on numbers of Paroxysmal Atrial Fibrillations, 50 Patients, Traditional Regressions vs Kernel Ridge Regression -- 22. Effects of Various Predictors on Numbers of Convulsions, 3390 Patients, Traditional vs Kernel Ridge Regression -- 23. Effects of Foods Served on Breakfast Taken, 252 Persons, Traditional Regressions and Multinomial Logistic Regression vs Kernel Ridge Regression -- 24. Effect on Anorexia of Personal Factors, 217 Persons, Traditional Regression vs Kernel Ridge Regression -- 25. Effect of Physical Exercise, Calorie Intake, and Their Interaction, on Weight Loss, 64 Patients, Traditional Regressions vs Kernel Ridge Regression -- 26. Summaries.
Record Nr. UNINA-9910595027403321
Cleophas Ton J.  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning : A Practical Approach on the Statistical Learning Theory / / by RODRIGO F MELLO, Moacir Antonelli Ponti
Machine Learning : A Practical Approach on the Statistical Learning Theory / / by RODRIGO F MELLO, Moacir Antonelli Ponti
Autore F MELLO RODRIGO
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XV, 362 p. 190 illus.)
Disciplina 006.31
Soggetto topico Artificial intelligence
Mathematical statistics
Computer science—Mathematics
Computer mathematics
Statistics 
Artificial Intelligence
Probability and Statistics in Computer Science
Mathematical Applications in Computer Science
Applied Statistics
ISBN 3-319-94989-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1 – A Brief Review on Machine Learning -- Chapter 2 - Statistical Learning Theory -- Chapter 3 - Assessing Learning Algorithms -- Chapter 4 - Introduction to Support Vector Machines -- Chapter 5 - In Search for the Optimization Algorithm -- Chapter 6 - A Brief Introduction on Kernels -- .
Record Nr. UNINA-9910299359803321
F MELLO RODRIGO  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Measurement, Mathematics and New Quantification Theory / / by Shizuhiko Nishisato
Measurement, Mathematics and New Quantification Theory / / by Shizuhiko Nishisato
Autore Nishisato Shizuhiko
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (214 pages)
Disciplina 511.3
Collana Behaviormetrics: Quantitative Approaches to Human Behavior
Soggetto topico Statistics
Mathematical statistics—Data processing
Psychometrics
Applied Statistics
Statistical Theory and Methods
Statistics and Computing
Càlcul de predicats
Lògica matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 981-9922-95-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Information for Analysis -- Data Analysis and Likert Scale -- Preliminaries -- Matrix Calculus -- Statistics in Matrix Notation -- Multidimensional Space.
Record Nr. UNINA-9910731487303321
Nishisato Shizuhiko  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Measuring the Data Universe : Data Integration Using Statistical Data and Metadata Exchange / / by Reinhold Stahl, Patricia Staab
Measuring the Data Universe : Data Integration Using Statistical Data and Metadata Exchange / / by Reinhold Stahl, Patricia Staab
Autore Stahl Reinhold
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (VII, 117 p. 38 illus., 33 illus. in color.)
Disciplina 005.73
Soggetto topico Statistics 
Data structures (Computer science)
Data mining
Big data
Applied Statistics
Data Structures
Data Mining and Knowledge Discovery
Big Data/Analytics
Big Data
ISBN 3-319-76989-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 0 About the Authors -- 0 About This Book -- Part 1: Creating Comprehensive Data Worlds using Standardisation -- 1 Where We Stand, Where We Want to Be, and How to Get There -- 2 What Does Reality Look Like? -- 3 What Can We Expect From Big Data? -- 4 Why is Data Integration so Hard? -- 5 Basic Thoughts about Standardisation -- 6 Standardisation and Research -- 7 Introducing Standards Successfully -- 8 Statistics Driving Successful Data Integration -- 9 Contribution of the Statistics Standard SDMX -- 10 Conclusion and Outlook -- Part 2: The Statistics Standard SDMX -- 11 History of SDMX -- 12 The Main Elements of SDMX -- 13 Working With SDMX -- 14 SDMX as a key success factor for data integration -- Glossary.
Record Nr. UNINA-9910300108703321
Stahl Reinhold  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modern Survival Analysis in Clinical Research : Cox Regressions Versus Accelerated Failure Time Models / / by Ton J. Cleophas, Aeilko H. Zwinderman
Modern Survival Analysis in Clinical Research : Cox Regressions Versus Accelerated Failure Time Models / / by Ton J. Cleophas, Aeilko H. Zwinderman
Autore Cleophas Ton J.
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (230 pages)
Disciplina 519.5
610.727
Soggetto topico Medical sciences
Statistics
Health Sciences
Applied Statistics
ISBN 3-031-31632-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Chapter 1: Regression Analysis -- Chapter 2: Cox Regressions -- Chapter 3: Accelerated Failure Time Models -- Chapter 4: Simple Dataset with Event as Outcome and Treatment as Predictor -- Chapter 5: Simple Dataset with Death as Outcome and Treatment Modality, Cholesterol, and Age as Predictors -- Chapter 6: Glioma Brain Cancer -- Chapter 7: Linoleic Acid for Colonic Carcinoma -- Chapter 8: The Effect on Survival of Maintained Chemotherapy with Acute Myelogenous Leucemia -- Chapter 9: Eighty Four Month Parallel Group Mortality Study -- Chapter 10: The Effect on Survival from Stages 1 and 2 Histiocytic Lymphoma -- Chapter 11: Survival of 64 Lymphoma Patients with or without B Symptoms -- Chapter 12: Effect on Time-to-Event of Group Membership -- Chapter 13: The Effect on Survival of Group Membership -- Chapter 14: Deaths from Carcinoma after Exposure to Carcinogens in Rats -- Chapter 15: Effect of Group Membership on Survival -- Chapter 16: Multiple Variables Regression Study of 2421 Stroke Patients Assessed for Time to Second Stroke -- Chapter 17: Hypothesized 55 Patient Study of Effect of Treatment Modality on Survival -- Chapter 18: One Year Follow-up Study with Many Censored Patients -- Chapter 19: Alcohol Relapse after Detox Program Treated with or without Personal Coach -- Chapter 20: Alcohol Relapse after Detox Program with 3 Predictors -- Chapter 21: Ayurvedic Therapy for Human Immunodeficiency Virus -- Chapter 22: Time to Event other Than Cox -- Chapter 23: Abstracts of the Chapters 1 to 22.
Record Nr. UNINA-9910728386303321
Cleophas Ton J.  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Non-Asymptotic Analysis of Approximations for Multivariate Statistics [[electronic resource] /] / by Yasunori Fujikoshi, Vladimir V. Ulyanov
Non-Asymptotic Analysis of Approximations for Multivariate Statistics [[electronic resource] /] / by Yasunori Fujikoshi, Vladimir V. Ulyanov
Autore Fujikoshi Yasunori
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (133 pages)
Disciplina 519.535
Collana JSS Research Series in Statistics
Soggetto topico Statistics 
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
Applied Statistics
ISBN 981-13-2616-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Correlation Coefficient -- 3. MANOVA Test Statistics -- 4. Linear and Quadratic Discriminant Functions -- 5. Bootstrap Confidence Sets -- 6. Gaussian Comparison -- 7. Cornish-Fisher Expansions -- 8 Approximations for Statistics Based on Random Sample Sizes -- 9. Power-divergence Statistics -- 10.General Approach to Construct Non-asymptotic Bounds -- 11 - Other Topics -- Index.
Record Nr. UNISA-996418269903316
Fujikoshi Yasunori  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Non-Asymptotic Analysis of Approximations for Multivariate Statistics [[electronic resource] /] / by Yasunori Fujikoshi, Vladimir V. Ulyanov
Non-Asymptotic Analysis of Approximations for Multivariate Statistics [[electronic resource] /] / by Yasunori Fujikoshi, Vladimir V. Ulyanov
Autore Fujikoshi Yasunori
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (133 pages)
Disciplina 519.535
Collana JSS Research Series in Statistics
Soggetto topico Statistics 
Statistical Theory and Methods
Statistics and Computing/Statistics Programs
Applied Statistics
ISBN 981-13-2616-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Correlation Coefficient -- 3. MANOVA Test Statistics -- 4. Linear and Quadratic Discriminant Functions -- 5. Bootstrap Confidence Sets -- 6. Gaussian Comparison -- 7. Cornish-Fisher Expansions -- 8 Approximations for Statistics Based on Random Sample Sizes -- 9. Power-divergence Statistics -- 10.General Approach to Construct Non-asymptotic Bounds -- 11 - Other Topics -- Index.
Record Nr. UNINA-9910483118903321
Fujikoshi Yasunori  
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Official statistics 4.0 : verified facts for people in the 21st century / / Walter J. Radermacher
Official statistics 4.0 : verified facts for people in the 21st century / / Walter J. Radermacher
Autore Radermacher Walter J
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing, , 2020
Descrizione fisica 1 online resource (xii, 158 pages)
Disciplina 519.5
Soggetto topico Statistics 
Social sciences
Economic theory
Production management
Applied Statistics
Methodology of the Social Sciences
Economic Theory/Quantitative Economics/Mathematical Methods
Operations Management
Humanities and Social Sciences, multidisciplinary
applied sciences
statistics
digitisation
ISBN 3-030-31492-8
Classificazione 38.08
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Official Statistics - An Introduction -- Official statistics - Public Informational Infrastructure -- Science and Society: A Reflexive Approach to Official Statistics -- Official Statistics 4.0: The Era of Digitisation and Globalization -- A Confident Look into the Future of Official Statistics.
Record Nr. UNISA-996418194103316
Radermacher Walter J  
Cham : , : Springer International Publishing, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui