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Record Nr. |
UNISA996495169403316 |
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Autore |
Huang Changquan |
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Titolo |
Applied Time Series Analysis and Forecasting with Python [[electronic resource] /] / by Changquan Huang, Alla Petukhina |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (377 pages) |
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Collana |
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Statistics and Computing, , 2197-1706 |
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Disciplina |
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Soggetti |
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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) |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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This textbook presents methods and techniques for time series analysis |
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and forecasting and shows how to use Python to implement them and solve data science problems. It covers not only common statistical approaches and time series models, including ARMA, SARIMA, VAR, GARCH and state space and Markov switching models for (non)stationary, multivariate and financial time series, but also modern machine learning procedures and challenges for time series forecasting. Providing an organic combination of the principles of time series analysis and Python programming, it enables the reader to study methods and techniques and practice writing and running Python code at the same time. Its data-driven approach to analyzing and modeling time series data helps new learners to visualize and interpret both the raw data and its computed results. Primarily intended for students of statistics, economics and data science with an undergraduate knowledge of probability and statistics, the book will equally appeal to industry professionals in the fields of artificial intelligence and data science, and anyone interested in using Python to solve time series problems. |
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2. |
Record Nr. |
UNINA9910483552503321 |
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Titolo |
Web Services and Formal Methods : Third International Workshop, WS-FM 2006, Vienna, Austria, September 8-9, 2006, Proceedings / / edited by Mario Bravetti, Manuel Núñez, Gianluigi Zavattaro |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2006 |
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ISBN |
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Edizione |
[1st ed. 2006.] |
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Descrizione fisica |
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1 online resource (X, 289 p.) |
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Collana |
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Programming and Software Engineering, , 2945-9168 ; ; 4184 |
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Altri autori (Persone) |
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BravettiMario |
NunezManuel, Profesor |
ZavattaroGianluigi |
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Disciplina |
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Soggetti |
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Computer science |
Software engineering |
Computer networks |
Electronic digital computers - Evaluation |
Theory of Computation |
Computer Science |
Software Engineering |
Computer Communication Networks |
Computer Science Logic and Foundations of Programming |
System Performance and Evaluation |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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InvitedPapers -- DecSerFlow: Towards a Truly Declarative Service Flow Language -- Service QoS Composition at the Level of Part Names -- SCC: A Service Centered Calculus -- Contributed Papers -- Computational Logic for Run-Time Verification of Web Services Choreographies: Exploiting the SOCS-SI Tool -- Semantic Querying of Mathematical Web Service Descriptions -- Verified Reference Implementations of WS-Security Protocols -- From BPEL Processes to YAWL Workflows -- Translating Orc Features into Petri Nets and the Join Calculus -- Dynamic Constraint-Based Invocation of Web Services -- A Formal Account of Contracts for Web Services -- Execution Semantics for Service Choreographies -- Analysis and Verification of Time Requirements Applied to the Web Services Composition -- A Formal Approach to Service Component Architecture -- Evaluating the Scalability of a Web Service-Based Distributed e-Learning and Course Management System -- Choreography Conformance Analysis: Asynchronous Communications and Information Alignment -- Application of Model Checking to AXML System’s Security: A Case Study -- Towards a Unifying Theory for Web Services Composition -- Towards the Formal Model and Verification of Web Service Choreography Description Language. |
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Sommario/riassunto |
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Here are the refereed proceedings of the Third International Workshop on Web Services and Formal Methods, WS-FM 2006, held in conjunction with the Fourth International Conference on Business Process Management, BPM 2006. The book presents 15 revised full papers and 3 invited lectures covering such topics as protocols and standards for WS; languages and description methodologies for Coreography/Orchestration/Workflow; coordination techniques for WS; security, performance evaluation and quality of service, and more. |
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