How Long to Read An Introduction to Measure-Theoretic Probability

How Long Does it Take to Read An Introduction to Measure-Theoretic Probability?

It takes the average reader 7 hours and 16 minutes to read An Introduction to Measure-Theoretic Probability by George G. Roussas

Assuming a reading speed of 250 words per minute. Learn more

Description

An Introduction to Measure-Theoretic Probability, Second Edition, employs a classical approach to teaching the basics of measure theoretic probability. This book provides in a concise, yet detailed way, the bulk of the probabilistic tools that a student working toward an advanced degree in statistics, probability and other related areas should be equipped with. This edition requires no prior knowledge of measure theory, covers 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. Topics range from the basic properties of a measure to modes of convergence of a sequence of random variables and their relationships; the integral of a random variable and its basic properties; standard convergence theorems; standard moment and probability inequalities; the Hahn-Jordan Decomposition Theorem; the Lebesgue Decomposition T; conditional expectation and conditional probability; theory of characteristic functions; sequences of independent random variables; and ergodic theory. There is a considerable bend toward the way probability is actually used in statistical research, finance, and other academic and nonacademic applied pursuits. Extensive exercises and practical examples are included, and all proofs are presented in full detail. Complete and detailed solutions to all exercises are available to the instructors on the book companion site. This text will be a valuable resource for graduate students primarily in statistics, mathematics, electrical and computer engineering or other information sciences, as well as for those in mathematical economics/finance in the departments of economics. Provides in a concise, yet detailed way, the bulk of probabilistic tools essential to a student working toward an advanced degree in statistics, probability, and other related fields Includes extensive exercises and practical examples to make complex ideas of advanced probability accessible to graduate students in statistics, probability, and related fields All proofs presented in full detail and complete and detailed solutions to all exercises are available to the instructors on book companion site Considerable bend toward the way probability is used in statistics in non-mathematical settings in academic, research and corporate/finance pursuits.

How long is An Introduction to Measure-Theoretic Probability?

An Introduction to Measure-Theoretic Probability by George G. Roussas is 426 pages long, and a total of 109,056 words.

This makes it 144% the length of the average book. It also has 133% more words than the average book.

How Long Does it Take to Read An Introduction to Measure-Theoretic Probability Aloud?

The average oral reading speed is 183 words per minute. This means it takes 9 hours and 55 minutes to read An Introduction to Measure-Theoretic Probability aloud.

What Reading Level is An Introduction to Measure-Theoretic Probability?

An Introduction to Measure-Theoretic Probability is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy An Introduction to Measure-Theoretic Probability?

An Introduction to Measure-Theoretic Probability by George G. Roussas is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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