---
product_id: 253256536
title: "CRC Press Introduction to Probability, Second Edition"
price: "822 zł"
currency: PLN
in_stock: true
reviews_count: 5
url: https://www.desertcart.pl/products/253256536-crc-press-introduction-to-probability-second-edition
store_origin: PL
region: Poland
---

# CRC Press Introduction to Probability, Second Edition

**Price:** 822 zł
**Availability:** ✅ In Stock

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- **What is this?** CRC Press Introduction to Probability, Second Edition
- **How much does it cost?** 822 zł with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.pl](https://www.desertcart.pl/products/253256536-crc-press-introduction-to-probability-second-edition)

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## Description

Buy CRC Press Introduction to Probability, Second Edition by Blitzstein, Joseph K., Hwang, Jessica online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: I’m reviewing this book from the perspective of a (business) Data Scientist. The math is often way over my head (and need), but I’m a huge fan of simulations and R. This book covers lots of simulations (Monte Carlo, Bootstrapping, Markov Chains …). I find that bootstrapping and permutations are rarely covered in traditional statistics books. That’s sad. By using R, I believe that it’s relatively easy to learn. See also “Statistical Inference via Data Science.” Personal highlights: Pages 11/31/42/138: the parts of random sampling with replacement (bootstrapping, which is a variation of a Monte Carlo simulation) are lucid, beautiful, and often combined with excellent samples in R code. Page 457: loved the part on the limitations of sampling and alternatives. Page 484: simulating pi with a Monte Carlo simulation in R. How cool is that? Page 559: excellent explanation of the Poisson process with samples in R. If you’re in Data Science and want to push your math skills, this is definitely a great book. Franco PS: Several parts reminded me of “Introduction to Data Science,” which was also written by a Harvard professor. In my view, both authors are academic rock stars. What a privilege to be able to learn from them.
Review: La impresión fue una burla me llegó un fax Simil con papel de mal calidad y rojizo.El texto está En la red de manera gratuita , comprar el libro era un lujo para mi. Afortunadamente desertcart me Hizo un rembolso completo.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #30,528 in Books ( See Top 100 in Books ) #78 in Applied Mathematics #11,522 in Textbooks & Study Guides |
| Customer reviews | 4.4 4.4 out of 5 stars (125) |
| Dimensions  | 19.05 x 4.45 x 26.67 cm |
| Edition  | 2nd |
| ISBN-10  | 1138369918 |
| ISBN-13  | 978-1138369917 |
| Item weight  | 215 g |
| Language  | English |
| Print length  | 620 pages |
| Publication date  | 8 February 2019 |
| Publisher  | Chapman and Hall/CRC |

## Images

![CRC Press Introduction to Probability, Second Edition - Image 1](https://m.media-amazon.com/images/I/61H+mPDjKsL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Review
*by D***A on 2 September 2020*

I’m reviewing this book from the perspective of a (business) Data Scientist. The math is often way over my head (and need), but I’m a huge fan of simulations and R. This book covers lots of simulations (Monte Carlo, Bootstrapping, Markov Chains …). I find that bootstrapping and permutations are rarely covered in traditional statistics books. That’s sad. By using R, I believe that it’s relatively easy to learn. See also “Statistical Inference via Data Science.” Personal highlights: Pages 11/31/42/138: the parts of random sampling with replacement (bootstrapping, which is a variation of a Monte Carlo simulation) are lucid, beautiful, and often combined with excellent samples in R code. Page 457: loved the part on the limitations of sampling and alternatives. Page 484: simulating pi with a Monte Carlo simulation in R. How cool is that? Page 559: excellent explanation of the Poisson process with samples in R. If you’re in Data Science and want to push your math skills, this is definitely a great book. Franco PS: Several parts reminded me of “Introduction to Data Science,” which was also written by a Harvard professor. In my view, both authors are academic rock stars. What a privilege to be able to learn from them.

### ⭐ Review
*by A***O on 19 April 2022*

La impresión fue una burla me llegó un fax Simil con papel de mal calidad y rojizo.El texto está En la red de manera gratuita , comprar el libro era un lujo para mi. Afortunadamente Amazon me Hizo un rembolso completo.

### ⭐ Review
*by F***N on 2 October 2020*

It is definitely not worth the more than $100 I paid for this book. The condition and production quality of the book were very poor. I was so excited to receive the book and when I opened up the cover for the first time, the book binding at the spine was torn and the pages were about to separate from the cover. Furthermore, the printing quality was horrible with a wide margin of faded text from the top to the bottom of almost all pages.

## Frequently Bought Together

- Introduction to Probability, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
- An Introduction to Statistical Learning: with Applications in Python (Springer Texts in Statistics)
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

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*Product available on Desertcart Poland*
*Store origin: PL*
*Last updated: 2026-04-26*