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Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Autore Huang Changquan
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (377 pages)
Disciplina 813
Collana Statistics and Computing
Soggetto topico Time-series analysis
Statistics - Computer programs
Econometrics
Python (Computer program language)
Machine learning
Statistics
Time Series Analysis
Statistical Software
Python
Machine Learning
Statistics in Business, Management, Economics, Finance, Insurance
Anàlisi de sèries temporals
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-13584-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Time Series Concepts and Python -- 2. Exploratory Time Series Data Analysis -- 3. Stationary Time Series Models -- 4. ARMA and ARIMA Modeling and Forecasting -- 5. Nonstationary Time Series Models -- 6. Financial Time Series and Related Models -- 7. Multivariate Time Series Analysis -- 8. State Space Models and Markov Switching Models -- 9. Nonstationarity and Cointegrations -- 10. Modern Machine Learning Methods for Time Series Analysis.
Record Nr. UNISA-996495169403316
Huang Changquan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina
Autore Huang Changquan
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (377 pages)
Disciplina 813
Collana Statistics and Computing
Soggetto topico Time-series analysis
Statistics - Computer programs
Econometrics
Python (Computer program language)
Machine learning
Statistics
Time Series Analysis
Statistical Software
Python
Machine Learning
Statistics in Business, Management, Economics, Finance, Insurance
Anàlisi de sèries temporals
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-13584-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Time Series Concepts and Python -- 2. Exploratory Time Series Data Analysis -- 3. Stationary Time Series Models -- 4. ARMA and ARIMA Modeling and Forecasting -- 5. Nonstationary Time Series Models -- 6. Financial Time Series and Related Models -- 7. Multivariate Time Series Analysis -- 8. State Space Models and Markov Switching Models -- 9. Nonstationarity and Cointegrations -- 10. Modern Machine Learning Methods for Time Series Analysis.
Record Nr. UNINA-9910619280803321
Huang Changquan  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A Course in Python [[electronic resource] ] : The Core of the Language / / by Roozbeh Hazrat
A Course in Python [[electronic resource] ] : The Core of the Language / / by Roozbeh Hazrat
Autore Hazrat Roozbeh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (255 pages)
Disciplina 510.285
Collana Springer Undergraduate Mathematics Series
Soggetto topico Computer software
Algorithms
Mathematics
Python (Llenguatge de programació)
Mathematical Software
General Mathematics
Soggetto genere / forma Llibres electrònics
ISBN 3-031-49780-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Basics of Python -- 2 Lists and Tuples -- 3 Decisions and Repetitions -- 4 Functions -- 5 List Comprehension and Generators -- 6 The sympy Library -- 7 The numpy Library -- 8 The matplotlib Library and Projects.
Record Nr. UNINA-9910799493403321
Hazrat Roozbeh  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Essentials of Excel VBA, Python, and R . Volume II : financial derivatives, risk management and machine learning / / John Lee [and three others]
Essentials of Excel VBA, Python, and R . Volume II : financial derivatives, risk management and machine learning / / John Lee [and three others]
Autore Lee John <1607 or 1608-1679, >
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (521 pages)
Disciplina 332.0285
Soggetto topico Electronic spreadsheets - Computer programs
Finance - Data processing
Finance - Statistical methods
Finances
Estadística matemàtica
Processament de dades
Python (Llenguatge de programació)
R (Llenguatge de programació)
Visual Basic (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-14283-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Introduction to Excel Programming -- Chapter 3. Introduction to VBA Programming -- Chapter 4. Professional Techniques Used in Excel and Excel VBA Techniques -- Chapter 5. Decision Tree Approach for Binomial Option Pricing Model -- Chapter 6. Microsoft Excel Approach to Estimating Alternative Option Pricing Models -- Chapter 7. Alternative Methods to Estimate Implied Variances -- Chapter 8. Greek Letters and Portfolio Insurance -- Chapter 9. Portfolio Analysis and Option Strategies -- Chapter 10. Alternative Simulation Methods and Their Applications -- Chapter 11. Linear Models for Regression -- Chapter 12. Kernel Linear Model -- Chapter 13. Neural Networks and Deep Learning -- Chapter 14. Applications of Alternative Machine Learning Methods for Credit Card Default Forecasting -- Chapter 15. An Application of Deep Neural Networks for Predicting Credit Card Delinquencies -- Chapter 16. Binomial/Trinomial Tree Option Pricing Using Python -- Chapter 17. Financial Ratios and its Applications -- Chapter 18. Time Value Money Analysis -- Chapter 19. Capital Budgeting under Certainty and Uncertainty -- Chapter 20. Financial Planning and Forecasting -- Chapter 21. Hedge Ratios: Theory and Applications -- Chapter 22. Application of simultaneous equation in finance research: Methods and empirical results -- Chapter 23. Using R Program to Estimate Binomial Option Pricing Model and Black & Scholes Option Pricing Model.
Record Nr. UNINA-9910683350703321
Lee John <1607 or 1608-1679, >  
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Autore Lee John
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (XVI, 696 p. 1113 illus., 1005 illus. in color.)
Disciplina 005.54
Soggetto topico Electronic spreadsheets - Computer programs
Finance - Data processing
Finance - Statistical methods
Python (Computer program language)
Finances
Estadística matemàtica
Processament de dades
Python (Llenguatge de programació)
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-14236-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Data Collection, Presentation, and Yahoo Finance -- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ -- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return -- Chapter 5. Probability Concepts and their Analysis -- Chapter 6. Discrete Random Variables and Probability Distributions -- Chapter 7. The Normal and Lognormal Distributions -- Chapter 8. Sampling Distributions and Central Limit Theorem -- Chapter 9. Other Continuous Distributions -- Chapter 10. Estimation -- Chapter 11. Hypothesis Testing -- Chapter 12. Analysis of Variance and Chi-Square Tests -- Chapter 13. Simple Linear Regression and the Correlation Coefficient -- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications -- Chapter 15. Multiple Linear Regression -- Chapter 16. Residual and Regression Assumption Analysis -- Chapter 17. Nonparametric Statistics -- Chapter 18. Time Series: Analysis, Model, and Forecasting -- Chapter 19. Index Numbers and Stock Market Indexes -- Chapter 20. Sampling Surveys: Methods and Applications -- Chapter 21. Statistical Decision Theory -- Chapter 22. Sources of Risks and their Determination -- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model -- Chapter 24. Capital Asset Pricing Model and Beta Forecasting -- Chapter 25. Single-Index Models for Portfolio Selection -- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Record Nr. UNINA-9910637731803321
Lee John  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Essentials of Excel VBA, Python, and R . Volume I Financial Statistics and Portfolio Analysis / / John Lee and Cheng-Few Lee
Autore Lee John
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (XVI, 696 p. 1113 illus., 1005 illus. in color.)
Disciplina 005.54
Soggetto topico Electronic spreadsheets - Computer programs
Finance - Data processing
Finance - Statistical methods
Python (Computer program language)
Finances
Estadística matemàtica
Processament de dades
Python (Llenguatge de programació)
R (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-14236-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. Data Collection, Presentation, and Yahoo Finance -- Chapter 3. Histograms and the Rate of Returns of JPM and JNJ -- Chapter 4. Numerical Summary Measures on Stock Rates of Return and Market Rates of Return -- Chapter 5. Probability Concepts and their Analysis -- Chapter 6. Discrete Random Variables and Probability Distributions -- Chapter 7. The Normal and Lognormal Distributions -- Chapter 8. Sampling Distributions and Central Limit Theorem -- Chapter 9. Other Continuous Distributions -- Chapter 10. Estimation -- Chapter 11. Hypothesis Testing -- Chapter 12. Analysis of Variance and Chi-Square Tests -- Chapter 13. Simple Linear Regression and the Correlation Coefficient -- Chapter 14. Simple Linear Regression and Correlation: Analyses and Applications -- Chapter 15. Multiple Linear Regression -- Chapter 16. Residual and Regression Assumption Analysis -- Chapter 17. Nonparametric Statistics -- Chapter 18. Time Series: Analysis, Model, and Forecasting -- Chapter 19. Index Numbers and Stock Market Indexes -- Chapter 20. Sampling Surveys: Methods and Applications -- Chapter 21. Statistical Decision Theory -- Chapter 22. Sources of Risks and their Determination -- Chapter 23. Risk-Aversion, Capital Asset Allocation, and Markowitz Portfolio Selection Model -- Chapter 24. Capital Asset Pricing Model and Beta Forecasting -- Chapter 25. Single-Index Models for Portfolio Selection -- Chapter 26. Sharpe Performance Measure and Treynor Performance Measure Approach to Portfolio Analysis.
Record Nr. UNISA-996508570103316
Lee John  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Exploring University Mathematics with Python / / by Siri Chongchitnan
Exploring University Mathematics with Python / / by Siri Chongchitnan
Autore Chongchitnan Siri
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (521 pages)
Disciplina 510.285
Soggetto topico Computer software
Python (Computer program language)
Algebras, Linear
Mathematical analysis
Probabilities
Mathematical Software
Python
Linear Algebra
Analysis
Probability Theory
Python (Llenguatge de programació)
Probabilitats
Àlgebra lineal
Soggetto genere / forma Llibres electrònics
ISBN 3-031-46270-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Analysis -- 2 Calculus -- 3 Vector Calculus and Geometry -- 4 Differential Equations and Dynamical Systems -- 5 Linear Algebra -- 6 Abstract Algebra and Number Theory -- 7 Probability -- 8 Statistics -- Appendix A: Python 101.
Record Nr. UNINA-9910767587003321
Chongchitnan Siri  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Eye-Tracking with Python and Pylink / / Zhiguo Wang
Eye-Tracking with Python and Pylink / / Zhiguo Wang
Autore Wang Zhiguo
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (237 pages)
Disciplina 153
Soggetto topico Cognitive psychology
Psychology, Experimental
Cognitive science
Percepció visual
Seguiment de la mirada
Python (Llenguatge de programació)
Llenguatges de programació
Soggetto genere / forma Llibres electrònics
ISBN 3-030-82635-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910510562103321
Wang Zhiguo  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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  
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An Introduction to Statistical Learning [[electronic resource] ] : with Applications in Python / / by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
An Introduction to Statistical Learning [[electronic resource] ] : 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
James Gareth  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui