Search Amazon.com

book information
  Explore this book
    buying info
    table of contents
    editorial reviews


Rate This Item
I dislike it I love it!

1

2

3

4

5
Edit your ratings





  
Ready to Buy?
Sign in to turn on 1-Click ordering.
1 used from $68.00
Have one to sell?


- or -
Don't have one?
We'll set one up for you.
Analysis of Time Series Structure: SSA and related techniques
by Nina Golyandina, V. V. Nekrutkin, A. A. Zhigliavskii, Anatoly A Zhigljavsky


see larger photo

List Price: $79.95
Our Price: $79.95

See All Used: from $68.00


Availability: Usually ships within 4 to 5 days
Hardcover: 320 pages; 1st edition (January 23, 2001) More product details
Be the first person to review this book!

Product Details
  • Hardcover: 320 pages
  • Publisher: Chapman & Hall; ISBN: 1584881941; 1st edition (January 23, 2001)
  • Amazon.com Sales Rank: 722,316

  Eligible for FREE Super Saver Shipping on orders of $99 or more. See details.


What's Your Advice?
Is there an item you'd recommend instead of or in addition to this one? Let the world know! Enter the item's ASIN (
what's an ASIN?) in the box below, select advice type, then click Submit.

I recommend: in addition to this product
instead of this product

Editorial Reviews
From Book News, Inc.
Describes the general theory and methodology of singular spectrum analysis (SSA). Part I introduces basic concepts, sets forth findings and results, and presents a detailed treatment of the methodology. The basic SSA algorithm is introduced, and applications of SSA to change- point detection algorithms are discussed. Part II is devoted to the theory of SSA, with material on the singular value decomposition (SVD) of real matrices, times series of finite rank, and SVD of trajectory matrices. Applications of SSA are examined in fields including nonlinear physics, economics, biology, and market research. Golyandina teaches mathematics at St. Petersburg University, Russia.Book News, Inc.®, Portland, OR


Book Description
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and meteorological time series analysis and well known in nonlinear physics and signal processing. However, despite the promise it holds for time series applications in other disciplines, SSA is not widely known among statisticians and econometrists, and although the basic SSA algorithm looks simple, understanding what it does and where its pitfalls lay is by no...
read more

See all editorial reviews...


Look for similar books by subject:

Browse for books in:
  • Subjects > Science > Mathematics > Applied > Statistics
  • Subjects > Professional & Technical > Professional Science > Mathematics > Applied > Statistics

    Search for books by subject:
    Statistics
    Time-series analysis
    Mathematics
    Probability & Statistics - General


    i.e., each book must be in subject 1 AND subject 2 AND ...


  • Where's My Stuff?
    • Track your recent orders.
    • View or change your orders in Your Account.
    Shipping & Returns
    • See our shipping rates & policies.
    Return an item (here's our Returns Policy).
    Need Help?
    • Forgot your password? Click here.
    Redeem or buy a gift certificate.
    Visit our Help department.
    Search    for     
    Save up to 30% on the best brands during our Mother's Day Sale.
    Great savings and a $100 offer from Weber. Hurry--limited time offer!
    Over 150 of our most popular tools are now on sale. Save up to $50!

    Turn your past books purchases into $$$
    Learn more about selling at Amazon.com today!

    Text Only Top of Page

    Books Search  |  Browse Subjects  |  Bestsellers  |  Magazines  |  Corporate Accounts
    e-Books & Docs  |  New & Used Textbooks  |  Used Books

    Amazon.com Home  |   Directory of All Stores

    Our International Sites: United Kingdom   |   Germany   |   Japan   |   France

    Help  |   Shopping Cart  |   Your Account  |   Sell Items  |   1-Click Settings

    About Amazon.com  |   Join Our Staff

    Conditions of Use | Privacy Notice © 1996-2002, Amazon.com, Inc. or its affiliates