Thanks to visit codestin.com
Credit goes to link.springer.com

Skip to main content

Summary, Conclusion and Outlook

  • Chapter
  • First Online:
A Bayesian Analysis of QCD Sum Rules

Part of the book series: Springer Theses ((Springer Theses))

  • 967 Accesses

Abstract

In this final chapter, the main results presented in the thesis will be summarized and possible directions for future developments discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+
from £29.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 71.50
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
GBP 89.99
Price includes VAT (United Kingdom)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Philipp Gubler .

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Japan

About this chapter

Cite this chapter

Gubler, P. (2013). Summary, Conclusion and Outlook. In: A Bayesian Analysis of QCD Sum Rules. Springer Theses. Springer, Tokyo. https://doi.org/10.1007/978-4-431-54318-3_8

Download citation

Keywords

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Publish with us

Policies and ethics