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Applied Statistical Learning [[electronic resource] ] : With Case Studies in Stata / / by Matthias Schonlau
Applied Statistical Learning [[electronic resource] ] : With Case Studies in Stata / / by Matthias Schonlau
Autore Schonlau Matthias <1967->
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource
Disciplina 519.50285
Collana Statistics and Computing
Soggetto topico Machine learning
Social sciences—Statistical methods
Statistics
Statistics—Computer programs
Quantitative research
Statistical Learning
Machine Learning
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
Statistics in Business, Management, Economics, Finance, Insurance
Statistical Software
Data Analysis and Big Data
ISBN 3-031-33390-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- 1 Prologue -- 2 Statistical Learning: Concepts -- 3 Statistical Learning: Practical Aspects -- 4 Logistic Regression -- 5 Lasso and Friends -- 6 Working with Text Data -- 7 Nearest Neighbors -- 8 The Naive Bayes Classifier -- 9 Trees -- 10 Random Forests -- 11 Boosting -- 12 Support Vector Machines -- 13 Feature Engineering -- 14 Neural Networks -- 15 Stacking -- Index.
Record Nr. UNINA-9910736996503321
Schonlau Matthias <1967->  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Practicing R for Statistical Computing / / by Muhammad Aslam, Muhammad Imdad Ullah
Practicing R for Statistical Computing / / by Muhammad Aslam, Muhammad Imdad Ullah
Autore Aslam Muhammad
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (300 pages)
Disciplina 005.55
Altri autori (Persone) Imdad UllahMuhammad
Soggetto topico Mathematical statistics—Data processing
Statistics—Computer programs
Statistics and Computing
Statistical Software
R (Llenguatge de programació)
Estadística
Programari
Soggetto genere / forma Llibres electrònics
ISBN 981-9928-86-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. R Language: Introduction -- Chapter 2. Obtaining and Installing R Language -- Chapter 3. Using R as a Calculator -- Chapter 4. Data Mode and Data Structure -- Chapter 5. Working with Data -- Chapter 6. Descriptive Statistics -- Chapter 7. Probability and Probability Distributions -- Chapter 8. Confidence Intervals and Comparison Tests -- Chapter 9. Correlation & Regression Analysis -- Chapter 10. Graphing in R -- Chapter 11. Control Flow: election and Iteration -- Chapter 12. Functions and R Resources -- Chapter 13. Common Errors and Mistakes -- Chapter 14. Functions for Better Programming -- Chapter 15. Some Useful Functions -- Chapter 16. Important Packages.
Record Nr. UNINA-9910735777603321
Aslam Muhammad  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui