An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines measure-theoretic probability. This book requires no prior knowledge of measure theory, discusses all its topics in great detail, and includes one chapter on the basics of ergodic theory and one chapter on two cases of statistical estimation. There is a considerable bend toward the way probability is actually used in statistical research, finance, and other academic and nonacademic applied pursuits.
"synopsis" may belong to another edition of this title.
"...a very thorough discussion of many of the pillars of the subject, showing in particular how 'measure theory with total measure one' is just the tip of the iceberg...It’s quite a book." --MAA.org, An Introduction to Measure-Theoretic Probability
"This second edition employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines measure-theoretic probability...requires no prior knowledge of measure theory, discusses all its topics in great detail, and includes one chapter on the basics of ergodic theory and one chapter on two cases of statistical estimation." --Zentralblatt MATH 1287-1
"...provides basic tools in measure theory and probability, in the classical spirit, relying heavily on characteristic functions as tools without using martingale or empirical process methods. A well-written book. Highly recommended [for] graduate students; faculty." --CHOICE
Based on the material presented in the manuscript, I would without any hesitation adopt the published version of the book. The topics dealt are essential to the understanding of more advanced material; the discussion is deep and it is combined with the use of essential technical details. It will be an extremely useful book. In addition it will be a very popular book." --Madan Puri, Indiana University
"Would likely use as one of two required references when I teach either Stat 709 or Stat 732 again. Would also highly recommend to colleagues. The author has written other excellent graduate texts in mathematical statistics and contiguity and this promises to be another. This book could well become an important reference for mathematical statisticians." --Richard Johnson, University of Wisconsin
"The author has succeeded in making certain deep and fundamental ideas of probability and measure theory accessible to statistics majors heading in the direction of graduate studies in statistical theory." --Doraiswamy Ramachandran, California State University
"About this title" may belong to another edition of this title.
Shipping:
£ 14.99
From United Kingdom to U.S.A.
Book Description Hardcover. Condition: New. Seller Inventory # 6666-ELS-9780128000427
Book Description Condition: New. Seller Inventory # 20795373-n
Book Description Hardcover. Condition: Brand New. 2nd edition. 464 pages. 12.00x10.00x1.00 inches. In Stock. Seller Inventory # __0128000422
Book Description Condition: new. Questo è un articolo print on demand. Seller Inventory # f480c6bf68d9a494b831bd0b477000d5
Book Description Hardback. Condition: New. New copy - Usually dispatched within 4 working days. Seller Inventory # B9780128000427
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9780128000427_lsuk
Book Description Condition: New. Seller Inventory # 20795373-n
Book Description Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Seller Inventory # C9780128000427
Book Description Condition: New. Seller Inventory # I-9780128000427
Book Description Condition: New. KlappentextrnrnAn Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching students of statistics, mathematics, engineering, econometrics, finance, and other disciplines measure-theoretic probabilit. Seller Inventory # 5891971