BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Threshold Models in Non-linear Time Series Analysis (Lecture Notes in Statistics, 21)

Threshold Models in Non-linear Time Series Analysis (Lecture Notes in Statistics, 21)

Threshold Models in Non-linear Time Series Analysis (Lecture Notes in
Stock photo: cover may vary

Threshold Models in Non-linear Time Series Analysis (Lecture Notes in Statistics, 21) Paperback - 1983

by Tong, H

Add to wish list
  • Used
  • Good
  • Paperback
Used - Good

Description

paperback. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
A$196.42
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)
The BIBLIO Guarantee

Details

  • Title Threshold Models in Non-linear Time Series Analysis (Lecture Notes in Statistics, 21)
  • Author Tong, H
  • Binding Paperback
  • Edition Softcover reprin
  • Condition Used - Good
  • Pages 323
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 1983-11-01
  • Bookseller's Inventory # 0387909184.G
  • ISBN 9780387909189 / 0387909184
  • Weight 1.04 lbs (0.47 kg)
  • Dimensions 9.21 x 6.14 x 0.7 in (23.39 x 15.60 x 1.78 cm)
  • Category Gardening / Horticulture
  • Library of Congress subjects Spectral theory (Mathematics), Time-series analysis
  • Library of Congress Catalogue Number 83017026
  • Dewey Decimal Code 519.55
  • Quantity available 1

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Threshold Models in Non-linear Time Series Analysis (Lecture Notes in Statistics, 21)

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

In the last two years or so, I was most fortunate in being given opportunities of lecturing on a new methodology to a variety of audiences in Britain, China, Finland, France and Spain. Despite my almost Confucian attitude of preferring talking (i.e. a transient record) to writing (i.e. a permanent record), the warm encouragement of friends has led to the ensuing notes. I am also only too conscious of the infancy of the methodology introduced in these notes. However, it is my sincere hope that exposure to a wider audience will accelerate its maturity. Readers are assumed to be familiar with the basic theory of time series analysis. The book by Professor M.B. Priestley (1981) may be used as a general reference. Chapter One is addressed to the general question: "why do we need non-linear time series models?" After describing some significant advantages of linear models, it singles out several major limitations of linearity. Of course, the selection reflects my personal view on the subject, which is only at its very beginning, although there does seem to be a general agreement in the literature that time irr'eversibility and limit cycles are among the most obvious.

Please wait a moment while we load the requested page.

tracking-