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Stochastic modeling : a thorough guide to evaluate, pre-process, model and compare time series with MATLAB software /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bonakdari, Hossein (Autor), Zeynoddin, Mohammad (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands : Elsevier, 2022.
Temas:
Acceso en línea:Texto completo

MARC

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040 |a OPELS  |b eng  |e rda  |e pn  |c OPELS  |d EBLCP  |d OCLCO  |d OCLCF  |d UKAHL  |d OCLCQ  |d OCLCO 
020 |z 9780323917483  |q (print) 
035 |a (OCoLC)1311520609 
050 4 |a QA280 
082 0 4 |a 519.5/5  |2 23 
100 1 |a Bonakdari, Hossein,  |e author. 
245 1 0 |a Stochastic modeling :  |b a thorough guide to evaluate, pre-process, model and compare time series with MATLAB software /  |c Hossein Bonakdari, Mohammad Zeynoddin. 
264 1 |a Amsterdam, Netherlands :  |b Elsevier,  |c 2022. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes index. 
588 0 |a Online resource; title from PDF title page (ScienceDirect, viewed April 20, 2022). 
505 0 |a Front cover -- Half title -- Title -- Copyright -- Dedication -- Contents -- Preface -- Acknowledgments -- Abbreviations -- Chapter 1 Introduction -- 1.1 Time series -- 1.1.1 Time series in environmental epidemiology -- 1.1.2 Engineering and sequential data -- 1.1.3 Historical data for forecasting future economy -- 1.2 Stochastic and stochastic with exogenous variables -- 1.2.1 Stochastic models -- 1.2.2 Stochastic model structure -- 1.2.3 Model classifications -- 1.3 Data preprocessing -- 1.3.1 Definition of preprocessing -- 1.3.2 Relationship between forecasting and time series structure 
505 8 |a 1.3.3 Distribution and its impact on time series forecasting -- References -- Chapter 2 Preparation & stationarizing -- 2.1 Missing data -- 2.1.1 Linear interpolation -- 2.1.2 Code for linear interpolation -- 2.1.3 Spline interpolation -- 2.1.4 Code for spline interpolation -- 2.1.5 Modified Akima cubic Hermite interpolation -- 2.1.6 Code for MAKIMA -- 2.2 Detecting outliers -- 2.2.1 Grubbs test -- 2.2.2 Grubbs test code -- 2.2.3 Generalized extreme studentized deviate test -- 2.2.4 Generalized Extreme Studentized Deviate test code -- 2.2.5 Moving average and moving median 
505 8 |a 2.2.6 Moving average and moving median codes -- 2.2.7 Quartiles and percentiles -- 2.2.8 Quartiles and percentiles codes -- 2.3 Time series structure and attributes -- 2.3.1 Trend in time series -- 2.3.2 Jump in time series -- 2.3.3 Period in time series -- 2.4 Stationarity -- 2.4.1 Unit root tests for stationarity evaluation -- 2.4.2 Augmented Dickey-Fuller test -- 2.4.3 KPSS test -- 2.4.4 Phillips-Perron test -- 2.4.5 Complementary adjustments for stationary test functions -- 2.5 Deterministic terms detection tests -- 2.5.1 Mann-Kendal test -- 2.5.2 Mann-Whitney test -- 2.5.3 Fisher's g test 
505 8 |a 2.5.4 Correlograms -- 2.5.5 How to determine the nonseasonal or seasonal correlations and the periodicity in time series by using correlograms? -- 2.6 Stationarizing methods -- 2.6.1 Trend analysis -- 2.6.2 Differencing -- 2.6.3 Standardization -- 2.6.4 Spectral analysis -- 2.7 Exercise -- References -- Chapter 3 Distribution evaluation and normalizing -- 3.1 Distribution visualization -- 3.2 Normal distribution definition -- 3.3 Skewness -- 3.4 Kurtosis -- 3.5 Common tests and transforms -- 3.6 Data distribution tests -- 3.6.1 Graphical methods -- 3.6.2 Skewness and kurtosis 
505 8 |a 3.6.3 Anderson-Darling test -- 3.6.4 Lillifors test -- 3.6.5 Jarque-Bera test -- 3.6.6 Shapiro-Wilk test -- 3.7 Normalization transforms -- 3.7.1 Logarithmic -- 3.7.2 Standard logarithmic -- 3.7.3 Box-Cox -- 3.7.4 Yeo-Johnson -- 3.7.5 John-Draper -- 3.7.6 Manly -- 3.8 Exercise -- References -- Chapter 4 Stochastic modeling -- 4.1 Modeling methods overview -- 4.2 Deterministic models -- 4.3 Probabilistic statistical models -- 4.4 Stochastic concepts -- 4.5 Differencing operators in stochastic models -- 4.5.1 Nonseasonal differencing -- 4.5.2 Seasonal differencing -- 4.6 Stochastic models equations 
650 0 |a Time-series analysis  |x Data processing. 
650 0 |a Stochastic models. 
630 0 0 |a MATLAB. 
650 6 |a S�erie chronologique  |0 (CaQQLa)201-0018628  |x Informatique.  |0 (CaQQLa)201-0380011 
650 6 |a Mod�eles stochastiques.  |0 (CaQQLa)201-0427106 
630 0 7 |a MATLAB  |2 fast  |0 (OCoLC)fst01365096 
650 7 |a Stochastic models  |2 fast  |0 (OCoLC)fst01737780 
650 7 |a Time-series analysis  |x Data processing  |2 fast  |0 (OCoLC)fst01151192 
700 1 |a Zeynoddin, Mohammad,  |e author. 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780323917483  |z Texto completo