Skip to main content
  • 4363 Accesses

Abstract

In this chapter, we will be concerned with some more general limit theorems. In particular, we shall generalise the central limit Theorem 4.2.1. The method of proof will also lead to a new formulation of the law of large numbers. The methods behind these results are not so easy. They rely on concepts from complex analysis. To make sure that that you know what we are talking about, in Section 8.2 there will be a short introduction to complex analysis which contains all the background necessary for the development in this chapter. In this chapter, random variables can be discrete or continuous. We start by formalising a mode of convergence that we have, in fact, already seen.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Birkhäuser Verlag AG

About this chapter

Cite this chapter

(2008). Limit Theorems. In: A Natural Introduction to Probability Theory. Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-8724-2_9

Download citation

Publish with us

Policies and ethics