العربية
  • Free & Easy Returns
  • Best Deals
العربية
loader
Wishlist
wishlist
Cart
cart

Limit Theorems of Probability Theory: Sequences of Independent Random Variables Hardcover English by Valentin V. Petrov

Now:
AED 1492.00 Inclusive of VAT
Free Delivery
noon-marketplace
Get it by 6 - 10 Dec
Order in 2 h 45 m
VIP ENBD Credit Card

emi
Monthly payment plans from AED 125View more details
VIP card

Earn AED 74.60 cashback with the Mashreq noon Credit Card. Apply now

Pay 4 interest-free payments of AED 373.00.Learn more
Split in 4 payments of AED 373.00. No interest. No late fees.Learn more
Delivery 
by noon
Delivery by noon
High Rated
Seller
High Rated Seller
Cash on 
Delivery
Cash on Delivery
Secure
Transaction
Secure Transaction
1
1 Added to cart
Add To Cart
Noon Locker
Free delivery on Lockers & Pickup Points
Learn more
free_returns
Enjoy hassle free returns with this offer.
Item as Described
Item as Described
70%
Partner Since

Partner Since

7+ Years
Overview
Specifications
PublisherOUP Oxford
ISBN 139780198534990
Book DescriptionThis book is devoted to limit theorems and probability inequalities for sums of independent random variables. It includes limit theorems on convergence to infinitely divisible distributions, the central limit theorem with rates of convergence, the weak and strong law of large numbers, the law of the iterated logarithm, and also many inequalities for sums of an arbitrary number of random variables. The aim of the book is two-fold. First, the book can be a basis for a course in probability for graduate or advanced undergraduate students. Second, the book can serve as a reference formulations of many (mostly recent) results which are usually inaccessible in book form. These supplements border on the basic text and make it possible for the reader to look at the frontier of modern investigations
LanguageEnglish
AuthorValentin V. Petrov

Limit Theorems of Probability Theory: Sequences of Independent Random Variables Hardcover English by Valentin V. Petrov

Added to cartatc
Cart Total AED 1492.00
Loading