"...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 exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students."―The Journal of the American Statistical Association
"synopsis" may belong to another edition of this title.
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 Szegö theorem and the central limit theorem. In this concise text, quite a few applications to probability are packed into the exercises.
"...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 exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students."―The Journal of the American Statistical Association
"About this title" may belong to another edition of this title.
Shipping:
US$ 4.50
Within U.S.A.
Book Description Hardcover. Condition: New. 1st Edition. This is a new hardcover first printing 1996 Brkhauser edition, slick red binding, no DJ. 205 pages with index. Seller Inventory # 104180
Book Description Condition: New. Book is in NEW condition. Seller Inventory # 0817638849-2-1
Book Description Hardcover. Condition: new. Seller Inventory # 9780817638849
Book Description Condition: New. New. In shrink wrap. Looks like an interesting title! 0.98. Seller Inventory # Q-0817638849
Book Description Condition: New. Seller Inventory # ABLIING23Feb2416190237404
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9780817638849_lsuk
Book Description Condition: New. Seller Inventory # I-9780817638849
Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -'.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 exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students.'-The Journal of the American Statistical Association 228 pp. Englisch. Seller Inventory # 9780817638849
Book Description Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9780817638849
Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - '.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 exercises; helpful hints or solution outlines are given with many of the problems. All in all, the text should make a useful reference for professionals and students.'-The Journal of the American Statistical Association. Seller Inventory # 9780817638849