How Long to Read Lectures on Probability Theory

How Long Does it Take to Read Lectures on Probability Theory?

It takes the average reader 7 hours and 21 minutes to read Lectures on Probability Theory by Dominique Bakry

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

Description

This book contains work-outs of the notes of three 15-hour courses of lectures which constitute surveys on the concerned topics given at the St. Flour Probability Summer School in July 1992. The first course, by D. Bakry, is concerned with hypercontractivity properties and their use in semi-group theory, namely Sobolev and Log Sobolev inequa- lities, with estimations on the density of the semi-groups. The second one, by R.D. Gill, is about statistics on survi- val analysis; it includes product-integral theory, Kaplan- Meier estimators, and a look at cryptography and generation of randomness. The third one, by S.A. Molchanov, covers three aspects of random media: homogenization theory, loca- lization properties and intermittency. Each of these chap- ters provides an introduction to and survey of its subject.

How long is Lectures on Probability Theory?

Lectures on Probability Theory by Dominique Bakry is 428 pages long, and a total of 110,424 words.

This makes it 144% the length of the average book. It also has 135% more words than the average book.

How Long Does it Take to Read Lectures on Probability Theory Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 3 minutes to read Lectures on Probability Theory aloud.

What Reading Level is Lectures on Probability Theory?

Lectures on Probability Theory 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 Lectures on Probability Theory?

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