Methodology in the Social Sciences: The Spectral Analysis of Time Series Vol.
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1
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The Spectral Analysis of Time Series (1995)
EN PB USISBN: 9780124192515 bzw. 0124192513, in Englisch, Academic Press, Taschenbuch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Versandkosten nach: USA.
Von Händler/Antiquariat, Dawn Turner Books.
Academic Press, 1995. Book. Fine. Soft cover. Condition: Fine, Like new. No wear. No visible wear. No wear to edges, no previous owner's markings, not ex libr. No rips or tears. No remainders. Softcover. 1995. Series: Probability and Mathematical Statistics, Format: Paperback, Edition Description: Reprint, Publisher: Academic Pr, Edition: 2, ISBN-13: 9780124192515, ISBN-10: 0124192513, Language: English. Science..
Von Händler/Antiquariat, Dawn Turner Books.
Academic Press, 1995. Book. Fine. Soft cover. Condition: Fine, Like new. No wear. No visible wear. No wear to edges, no previous owner's markings, not ex libr. No rips or tears. No remainders. Softcover. 1995. Series: Probability and Mathematical Statistics, Format: Paperback, Edition Description: Reprint, Publisher: Academic Pr, Edition: 2, ISBN-13: 9780124192515, ISBN-10: 0124192513, Language: English. Science..
2
The Spectral Analysis of Time Series (1995)
EN PB NWISBN: 9780124192515 bzw. 0124192513, in Englisch, Academic Press, Taschenbuch, neu.
Lieferung aus: Niederlande, 4-8 werkdagen.
Azna.
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of frequency domain (spectral) analysis of time series. This book provides an introduction to the techniques and theories of spectral analysis of time series. With minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework of results.Taal: Engels;Verschijningsdatum: mei 1995;ISBN10: 0124192513;ISBN13: 9780124192515; Engelstalig | Paperback | 1995.
Azna.
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of frequency domain (spectral) analysis of time series. This book provides an introduction to the techniques and theories of spectral analysis of time series. With minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework of results.Taal: Engels;Verschijningsdatum: mei 1995;ISBN10: 0124192513;ISBN13: 9780124192515; Engelstalig | Paperback | 1995.
3
Spectral Analysis of Time Series
EN NW EBISBN: 9780124192515 bzw. 0124192513, in Englisch, Elsevier Science, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, E-Book zum download.
Business, The Spectral Analysis of Time Series, To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results. The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications. Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction. Key Features * Hilbert spaces * univariate models for spectral analysis * multivariate spectral models * sampling, aliasing, and discrete-time models * real-time filtering * digital filters * linear filters * distribution theory * sampling properties of spectral estimates * linear prediction, eBook.
Business, The Spectral Analysis of Time Series, To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results. The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications. Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction. Key Features * Hilbert spaces * univariate models for spectral analysis * multivariate spectral models * sampling, aliasing, and discrete-time models * real-time filtering * digital filters * linear filters * distribution theory * sampling properties of spectral estimates * linear prediction, eBook.
4
The Spectral Analysis of Time Series (Probability and Mathematical Statistics) (1995)
EN PB NWISBN: 9780124192515 bzw. 0124192513, in Englisch, 366 Seiten, Academic Press, Taschenbuch, neu.
سے نیا: $54.99 (4 پیش کرتا ہے)
سے استعمال کیا: $28.01 (5 پیش کرتا ہے)
زیادہ دکھائیں 9 پر پیش کرتا ہے Amazon.com
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Amazon.com.
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results. The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications. Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction. Key Features * Hilbert spaces * univariate models for spectral analysis * multivariate spectral models * sampling, aliasing, and discrete-time models * real-time filtering * digital filters * linear filters * distribution theory * sampling properties of spectral estimates * linear prediction, Paperback, لیبل: Academic Press, Academic Press, مصنوعات گروپ: Book, شائع: 1995-05-22, سٹوڈیو: Academic Press, سیلز کے عہدے: 3166564.
Von Händler/Antiquariat, Amazon.com.
To tailor time series models to a particular physical problem and to follow the working of various techniques for processing and analyzing data, one must understand the basic theory of spectral (frequency domain) analysis of time series. This classic book provides an introduction to the techniques and theories of spectral analysis of time series. In a discursive style, and with minimal dependence on mathematics, the book presents the geometric structure of spectral analysis. This approach makes possible useful, intuitive interpretations of important time series parameters and provides a unified framework for an otherwise scattered collection of seemingly isolated results. The books strength lies in its applicability to the needs of readers from many disciplines with varying backgrounds in mathematics. It provides a solid foundation in spectral analysis for fields that include statistics, signal process engineering, economics, geophysics, physics, and geology. Appendices provide details and proofs for those who are advanced in math. Theories are followed by examples and applications over a wide range of topics such as meteorology, seismology, and telecommunications. Topics covered include Hilbert spaces; univariate models for spectral analysis; multivariate spectral models; sampling, aliasing, and discrete-time models; real-time filtering; digital filters; linear filters; distribution theory; sampling properties ofspectral estimates; and linear prediction. Key Features * Hilbert spaces * univariate models for spectral analysis * multivariate spectral models * sampling, aliasing, and discrete-time models * real-time filtering * digital filters * linear filters * distribution theory * sampling properties of spectral estimates * linear prediction, Paperback, لیبل: Academic Press, Academic Press, مصنوعات گروپ: Book, شائع: 1995-05-22, سٹوڈیو: Academic Press, سیلز کے عہدے: 3166564.
6
The Spectral Analysis of Time Series (Probability & Mathematical Statistics) H.K
EN NWISBN: 9780124192515 bzw. 0124192513, in Englisch, Academic Press, Vereinigte Staaten von Amerika, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, حوالگی کی قسم: Flat, حوالگی: دنیا بھر میں, محل وقوع پیش کرتے ہیں: United Kingdom.
Von Händler/Antiquariat, roxy*media*uk - uk_media_superstore.
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Von Händler/Antiquariat, roxy*media*uk - uk_media_superstore.
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