9781439876510 - time series: a first course with bootstrap starter di mcelroy, tucker s.; politis, dimitris n. (23 risultati)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate a…nd M.S. students. Basic theoretical results are presented in a mathematically convincing way, and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basic course in mathematical statistics will learn both how to analyze time series and how to interpret the results.The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling. The second half of the book focuses on statistical inference, the fitting of time series models, as well as computational facets of forecasting. Many time series of interest are nonlinear in which case classical inference methods can fail, but bootstrap methods may come to the rescue. Distinctive features of the book are the emphasis on geometric notions and the frequency domain, the discussion of entropy maximization, and a thorough treatment of recent computer-intensive methods for time series such as subsampling and the bootstrap. There are more than 600 exercises, half of which involve R coding and/or data analysis. Supplements include a website with 12 key data sets and all R code for the book's examples, as well as the solutions to exercises. The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Libro 67 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Editore: CRC Press, 2019
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Condizione: New. Tucker S. McElroy is Senior Time Series Mathematical Statistician at the U.S. Census Bureau, where he has contributed to developing time series research and software for the last 15 years. He has published more than 80 papers and is a re.
Time Series: A First Course with Bootstrap Starter (Chapman & Hall/CRC Texts in Statistical Science)
Lingua: Inglese
Editore: Chapman and Hall/CRC, 2019
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Condizione: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requeste…d if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
Editore: Chapman & Hall, 2014
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Brand New. 300 pages. 9.45x6.30x1.42 inches. In Stock.
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Lingua: Inglese
Editore: Taylor & Francis Ltd Dez 2019, 2019
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Buch. Condizione: Neu. Neuware - Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S…. students. Basic theoretical results are presented in a mathematically convincing way, and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basic course in mathematical statistics will learn both how to analyze time series and how to interpret the results.The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling. The second half of the book focuses on statistical inference, the fitting of time series models, as well as computational facets of forecasting. Many time series of interest are nonlinear in which case classical inference methods can fail, but bootstrap methods may come to the rescue. Distinctive features of the book are the emphasis on geometric notions and the frequency domain, the discussion of entropy maximization, and a thorough treatment of recent computer-intensive methods for time series such as subsampling and the bootstrap. There are more than 600 exercises, half of which involve R coding and/or data analysis. Supplements include a website with 12 key data sets and all R code for the book's examples, as well as the solutions to exercises.
Lingua: Inglese
Editore: Taylor & Francis Inc, Bosa Roca, 2019
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: new. Hardcover. Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate a…nd M.S. students. Basic theoretical results are presented in a mathematically convincing way, and the methods of data analysis are developed through examples and exercises parsed in R. A student with a basic course in mathematical statistics will learn both how to analyze time series and how to interpret the results.The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling. The second half of the book focuses on statistical inference, the fitting of time series models, as well as computational facets of forecasting. Many time series of interest are nonlinear in which case classical inference methods can fail, but bootstrap methods may come to the rescue. Distinctive features of the book are the emphasis on geometric notions and the frequency domain, the discussion of entropy maximization, and a thorough treatment of recent computer-intensive methods for time series such as subsampling and the bootstrap. There are more than 600 exercises, half of which involve R coding and/or data analysis. Supplements include a website with 12 key data sets and all R code for the book's examples, as well as the solutions to exercises. The book provides the foundation of time series methods, including linear filters and a geometric approach to prediction. The important paradigm of ARMA models is studied in-depth, as well as frequency domain methods. Entropy and other information theoretic notions are introduced, with applications to time series modeling Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Lingua: Inglese
Editore: Chapman & Hall, 2014
Serie: Libro 66 di 59 - Chapman & Hall/CRC Texts in Statistical Science
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Hardcover. Condizione: Brand New. 300 pages. 9.45x6.30x1.42 inches. In Stock. This item is printed on demand.
