コンテンツへ移動
Measure theory and probability 資料のプレビュー
閉じる資料のプレビュー
確認中…

Measure theory and probability

著者: Malcolm Ritchie Adams; Victor Guillemin
出版: Boston : Birkhäuse, ©1996.
エディション/フォーマット:   書籍 : Englishすべてのエディションとフォーマットを見る
データベース:WorldCat
概要:
"Measure theory and integration are presented to undergraduates from the perspective of probability theory. The first chapter shows why measure theory is needed for the formulation of problems in probability, and explains why one would have been forced to invent Lebesgue theory (had it not already existed) to contend with the paradoxes of large numbers. The measure-theoretic approach then leads to interesting  続きを読む
評価:

(まだ評価がありません) 0 件のレビュー - 是非あなたから!

件名:
関連情報:

 

オフラインで入手

&AllPage.SpinnerRetrieving; この資料の所蔵館を検索中…

詳細

ドキュメントの種類: 図書
すべての著者/寄与者: Malcolm Ritchie Adams; Victor Guillemin
ISBN: 0817638849 9780817638849 3764338849 9783764338848
OCLC No.: 33668134
物理形態: xiv, 205 p. : ill. ; 24 cm.
コンテンツ: Measure theory --
Integration --
Fourier analysis.
責任者: Malcolm Adams, Victor Guillemin.
その他の情報:

概要:

Suitable for instructors and students of statistical measure theoretic courses, this title features numerous informative exercises, and helpful hints or solution outlines with many of the problems.  続きを読む

レビュー

編集者のレビュー

出版社によるあらすじ

"...the text is user friendly to the topics it considers and should be very accessible...Instructors and students of statistical measure theoretic courses will appreciate the numerous informative 続きを読む

 
ユーザーレビュー
GoodReadsのレビューを取得中…
DOGObooksのレビューを取得中…

タグ

まずはあなたから!
リクエストの確認

あなたは既にこの資料をリクエストしている可能性があります。このリクエストを続行してよろしければ、OK を選択してください。

リンクデータ


<http://www.worldcat.org/oclc/33668134>
library:oclcnum"33668134"
library:placeOfPublication
library:placeOfPublication
owl:sameAs<info:oclcnum/33668134>
rdf:typeschema:Book
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:about
schema:contributor
schema:copyrightYear"1996"
schema:creator
schema:datePublished"1996"
schema:description"Measure theory -- Integration -- Fourier analysis."@en
schema:exampleOfWork<http://worldcat.org/entity/work/id/5394979>
schema:inLanguage"en"
schema:name"Measure theory and probability"@en
schema:numberOfPages"205"
schema:publisher
schema:reviews
rdf:typeschema:Review
schema:itemReviewed<http://www.worldcat.org/oclc/33668134>
schema:reviewBody""Measure theory and integration are presented to undergraduates from the perspective of probability theory. The first chapter shows why measure theory is needed for the formulation of problems in probability, and explains why one would have been forced to invent Lebesgue theory (had it not already existed) to contend with the paradoxes of large numbers. The measure-theoretic approach then leads to interesting applications and a range of topics that include the construction of the Lebesgue measure on R [superscript n] (metric space approach), the Borel-Cantelli lemmas, straight measure theory (the Lebesgue integral). Chapter 3 expands on abstract Fourier analysis, Fourier series and the Fourier integral, which have some beautiful probabilistic applications: Polya's theorem on random walks, Kac's proof of the Szego theorem and the central limit theorem. In this concise text, quite a few applications to probability are packed into the exercises."--BOOK JACKET."
schema:url
schema:workExample
schema:workExample

Content-negotiable representations

ウインドウを閉じる

WorldCatにログインしてください 

アカウントをお持ちではないですか?簡単に 無料アカウントを作成することができます。.