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Time Series Analysis Forecasting and Control.

Detalles Bibliográficos
Autor principal: Box, George E. P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2015.
Colección:New York Academy of Sciences Ser.
Temas:
Acceso en línea:Texto completo

MARC

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082 0 4 |a 519.5/5  |q OCoLC  |2 23/eng/20230216 
049 |a UAMI 
100 1 |a Box, George E. P. 
245 1 0 |a Time Series Analysis  |h [electronic resource] :  |b Forecasting and Control. 
260 |a Newark :  |b John Wiley & Sons, Incorporated,  |c 2015. 
300 |a 1 online resource (1288 p.). 
490 1 |a New York Academy of Sciences Ser. 
500 |a Description based upon print version of record. 
505 0 |a Intro -- Wiley Series in Probability and Statistics -- Title Page -- Copyright -- Dedication -- Preface to the Fifth Edition -- Preface to the Fourth Edition -- Preface to the Third Edition -- Chapter 1: Introduction -- 1.1 Five Important Practical Problems -- 1.2 Stochastic and Deterministic Dynamic Mathematical Models -- 1.3 Basic Ideas in Model Building -- Appendix A1.1 Use Of The R Software -- Exercises -- Part One: Stochastic Models and Their Forecasting -- Chapter 2: Autocorrelation Function and Spectrum of Stationary Processes -- 2.1 Autocorrelation Properties of Stationary Models 
505 8 |a 2.2 Spectral Properties of Stationary Models -- Appendix A2.1 Link Between the Sample Spectrum and Autocovariance Function Estimate -- Exercises -- Chapter 3: Linear Stationary Models -- 3.1 General Linear Process -- 3.2 Autoregressive Processes -- 3.3 Moving Average Processes -- 3.4 Mixed Autoregressive-Moving Average Processes -- Appendix A3.1 Autocovariances, Autocovariance Generating Function, and Stationarity Conditions for a General Linear Process -- Appendix A3.2 Recursive Method for Calculating Estimates of Autoregressive Parameters -- Exercises -- Chapter 4: Linear Nonstationary Models 
505 8 |a 4.1 Autoregressive Integrated Moving Average Processes -- 4.2 Three Explicit Forms for the Arima Model -- 4.3 Integrated Moving Average Processes -- Appendix A4.1 Linear Difference Equations -- Appendix A4.2 IMA(0, 1, 1) Process with Deterministic Drift -- Appendix A4.3 Arima Processes with Added Noise -- Exercises -- Chapter 5: Forecasting -- 5.1 Minimum Mean Square Error Forecasts and Their Properties -- 5.2 Calculating Forecasts and Probability Limits -- 5.3 Forecast Function and Forecast Weights -- 5.4 Examples of Forecast Functions and Their Updating 
505 8 |a 5.5 Use of State-Space Model Formulation for Exact Forecasting -- 5.6 Summary -- Appendix A5.1 Correlation Between Forecast Errors -- Appendix A5.2 Forecast Weights for Any Lead Time -- Appendix A5.3 Forecasting in Terms of the General Integrated Form -- Exercises -- Part Two: Stochastic Model Building -- Chapter 6: Model Identification -- 6.1 Objectives of Identification -- 6.2 Identification Techniques -- 6.3 Initial Estimates for the Parameters -- 6.4 Model Multiplicity -- Appendix A6.1 Expected Behavior of the Estimated Autocorrelation Function for a Nonstationary Process -- Exercises 
505 8 |a Chapter 7: Parameter Estimation -- 7.1 Study of the Likelihood and Sum-of-Squares Functions -- 7.2 Nonlinear Estimation -- 7.3 Some Estimation Results for Specific Models -- 7.4 Likelihood Function Based on the State-Space Model -- 7.5 Estimation Using Bayes' Theorem -- Appendix A7.1 Review of Normal Distribution Theory -- Appendix A7.2 Review of Linear Least-Squares Theory -- Appendix A7.3 Exact Likelihood Function for Moving Average and Mixed Processes -- Appendix A7.4 Exact Likelihood Function for an Autoregressive Process 
500 |a Appendix A7.5 Asymptotic Distribution of Estimators for Autoregressive Models 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
655 0 |a Electronic books. 
758 |i has work:  |a Time series analysis (Text)  |1 https://id.oclc.org/worldcat/entity/E39PCGQHqPjWtWy9whv8xJhgGb  |4 https://id.oclc.org/worldcat/ontology/hasWork 
776 0 8 |i Print version:  |a Box, George E. P.  |t Time Series Analysis  |d Newark : John Wiley & Sons, Incorporated,c2015  |z 9781118675021 
830 0 |a New York Academy of Sciences Ser. 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=7103937  |z Texto completo 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL7103937 
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