Probability with R: An Introduction with Computer Science Applications

Probability with R: An Introduction with Computer Science Applications

Have one to sell?
Sell yours Here >
See Details
Key Features
  • Author: Jane Horgan 
  • Publisher: John Wiley & Sons
  • Copyright: 2008
  • Language: English
  • ISBN13: 9780470280737
  • Number Of Pages: 394 pages
  • Seller Score:
    3.7 / 5
    Selling on Jumia: 2 years
    Detailed Seller Ratings(Out of 5)
    • Fulfillment rate 2.0 (Below Average)
    • Product Quality 5.0 (Above Average)
    • Shipping Speed 4.0 (Below Average)
    1,000+Successful Sales
  • Delivery

    Delivery Timelines and Cities

    City

    Regular

    Cairo & Giza*

    3

    4 - 6

    Other cities

    4

    5 - 10

    *If order placed before 2pm.

    is available only for items with the Logo. Click here for more information

    Delivery times are business days only, and do not include Friday.

    Delivery timeline for international orders is 9-15 days. Click here for more info.

    Click here for our full Delivery Timelines

    & Click here for our Shipping fees details

    Delivery Within: 2 - 6 business days - Except Fridays
Pay cash on delivery
14 days free return

Free Return within 14-days. Details below.

Wrong Item - to be returned within 48 hours

All items are eligible for return

Changed Mind - to be returned within 7 days

Fashion, Mobile phones, Electronics, Computing

Damaged Item - to be returned within 14 days

Fashion, Mobile phones, Electronics, Computing, Books, Food, Bulky Items, International Products

Click here for more Returns Policy and Return Times.

Genuine product
A Complete Introduction to probability AND its computer Science Applications USING R Probability with R serves as a comprehensive and introductory book on probability with an emphasis on computing-related applications. Real examples show how probability can be used in practical situations, and the freely available and downloadable statistical programming language R illustrates and clarifies the book's main principles. Promoting a simulation- and experimentation-driven methodology, this book highlights the relationship between probability and computing in five distinctive parts:* The R Language presents the essentials of the R language, including key procedures for summarizing and building graphical displays of statistical data.* Fundamentals of Probability provides the foundations of the basic concepts of probability and moves into applications in computing. Topical coverage includes conditional probability, Bayes' theorem, system reliability, and the development of the main laws and properties of probability.* Discrete Distributions addresses discrete random variables and their density and distribution functions as well as the properties of expectation. The geometric, binomial, hypergeometric, and Poisson distributions are also discussed and used to develop sampling inspection schemes.* Continuous Distributions introduces continuous variables by examining the waiting time between Poisson occurrences. The exponential distribution and its applications to reliability are investigated, and the Markov property is illustrated via simulation in R. The normal distribution is examined and applied to statistical process control.* Tailing Off delves into the use of Markov and Chebyshev inequalities as tools for estimating tail probabilities with limited information on the random variable. Numerous exercises and projects are provided in each chapter, many of which require the use of R to perform routine calculations and conduct experiments with simulated data. The author directs readers to the appropriate Web-based resources for installing the R software package and also supplies the essential commands for working in the R workspace. A related Web site features an active appendix as well as a forum for readers to share findings, thoughts, and ideas. With its accessible and hands-on approach, Probability with R is an ideal book for a first course in probability at the upper-undergraduate and graduate levels for readers with a background in computer science, engineering, and the general sciences. It also serves as a valuable reference for computing professionals who would like to further understand the relevance of probability in their areas of practice.
Key Features
  • Author: Jane Horgan 
  • Publisher: John Wiley & Sons
  • Copyright: 2008
  • Language: English
  • ISBN13: 9780470280737
  • Number Of Pages: 394 pages
  • Edition: 1
Specifications of Probability with R: An Introduction with Computer Science Applications
SKU
JU030BKAKARQNAFAMZ
Model
BACCAH - 9780470280737
Main Material
Hardback
Author
Jane Horgan
  • 5 stars
    (0)
  • 4 stars
    (0)
  • 3 stars
    (0)
  • 2 stars
    (0)
  • 1 star
    (0)
Average Rating
0
No rating yet.
Have you used this product before?
Write a review'
Can I return this product?

You can return this product for a refund, within 14 days after receiving your original order.

You can return this product ONLY if you have received the wrong product or if the product has been damaged.



How to return this product?

You need to request a return by calling Customer Service 19586



What are the required conditions?

Please see below conditions for your return request to be accepted:

- product must remain sealed, except if the product is defective or damaged

- product is still in its original packaging

- product is in its original condition and unused

- product is not damaged

- product label is still attached


The products in your possession are your responsibility until they are picked up by our driver or you have dropped it off at a pickup Station. Any product that is not properly packed or is damaged will not be eligible for a return, so make sure they are properly taken care of prior to the return!



What are the next steps?

Once your return request done, we will contact you to arrange retrieval of the product. You will also have the choice to deliver yourself the product to one of our pickup Stations.


Once the product retrieved, we will proceed to examination.

- In the unlikely event that an item is returned to us in an unsuitable condition, we will send it back to you without refund.

- If examination conclusive and conditions respected, we will proceed to refund within maximum 14 business days post retrieval product.