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 #  AuthorTitleAccn#YearItem Type Claims
1 Datseris, George Nonlinear Dynamics I12383 2022 Book  
2 Oscar Perpinan Lamigueiro Displaying time series, spatial, and space-time data with R 025886 2014 Book  
3 Soren Bisgaard Time series analysis and forecasting by example 024729 2011 Book  
4 George E.P. Box Time series analysis forecasting and control 013363 1976 Book  
5 Enders A. Robinson Multichannel time series analysis: With digital computer programs 002056 1967 Book  
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TitleNonlinear Dynamics : A Concise Introduction Interlaced with Code
Author(s)Datseris, George;Parlitz, Ulrich
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2022.
DescriptionXV, 236 p. 116 illus., 103 illus. in color : online resource
Abstract NoteThis concise and up-to-date textbook provides an accessible introduction to the core concepts of nonlinear dynamics as well as its existing and potential applications. The book is aimed at students and researchers in all the diverse fields in which nonlinear phenomena are important. Since most tasks in nonlinear dynamics cannot be treated analytically, skills in using numerical simulations are crucial for analyzing these phenomena. The text therefore addresses in detail appropriate computational methods as well as identifying the pitfalls of numerical simulations. It includes numerous executable code snippets referring to open source Julia software packages. Each chapter includes a selection of exercises with which students can test and deepen their skills
ISBN,Price9783030910327
Keyword(s)1. Climate Sciences 2. CLIMATOLOGY 3. COMPLEX SYSTEMS 4. DYNAMICAL SYSTEMS 5. EBOOK 6. EBOOK - SPRINGER 7. Stochastic Networks 8. STOCHASTIC PROCESSES 9. SYSTEM THEORY 10. TIME SERIES ANALYSIS 11. TIME-SERIES ANALYSIS
Item TypeBook
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Accession#  Call#StatusIssued ToReturn Due On Physical Location
I12383     On Shelf    

2.     
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TitleDisplaying time series, spatial, and space-time data with R
Author(s)Oscar Perpinan Lamigueiro
PublicationBoca Raton, CRC Press, 2014.
Descriptionvii, 200p.
Abstract NoteA data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets. Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality graphics of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code. The book illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Each of the book’s three parts is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics.
ISBN,Price9781466565203 : UKP 49.99(HB)
Classification519.246
Keyword(s)1. DATA GRAPHICS 2. EBOOK 3. EBOOK - TAYLOR AND FRANCIS 4. R PROGRAMMING LANGUAGE 5. TIME SERIES 6. TIME SERIES ANALYSIS
Item TypeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
025886   519.246/LAM/025886  On Shelf    
OB1345   519.246/LAM/  On Shelf    

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TitleTime series analysis and forecasting by example
Author(s)Soren Bisgaard;Murat Kulahci
PublicationNew Jersey, John Wiley and Sons, 2011.
Descriptionxiii, 366p.
Series(Wiley series in probability and statistics)
Abstract NoteTime Series Analysis and Forecasting by Example provides the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the discussed topics, the authors successfully help readers develop an intuitive understanding of seemingly complicated time series models and their implications. The book presents methodologies for time series analysis in a simplified, example-based approach. Using graphics, the authors discuss each presented example in detail and explain the relevant theory while also focusing on the interpretation of results in data analysis.
ISBN,Price9780470540640 : US $134.95(HB)
Classification519.246
Keyword(s)1. ARIMA MODELS 2. AUTOCORRELATION 3. FORECASTING 4. REGRESSION 5. SPURIOUS RELATIONSHIPS 6. TIME SERIES ANALYSIS
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
024729   519.246/BIS/024729  On Shelf    

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TitleTime series analysis forecasting and control
Author(s)George E.P. Box;Gwilym M. Jenkins
Editionrevised edn.
PublicationEnglewood Cliffs, New Jersey, Prentice Hall, 1976.
ISBN,Price0-13-905100-7
Classification519.246
Keyword(s)TIME SERIES ANALYSIS
Item TypeBook

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Accession#  Call#StatusIssued ToReturn Due On Physical Location
013363   519.246/BOX/013363  On Shelf    

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TitleMultichannel time series analysis: With digital computer programs
Author(s)Enders A. Robinson
Edition2nd ed.
PublicationHouston, Goose Pond Press, 1967.
Descriptionxxvii,454p.
Classification519.246:681.3
Keyword(s)TIME SERIES ANALYSIS
Item TypeBook

Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
002056   519.246:681.3/ROB/002056  On Shelf    

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