Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 1

Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis - Paperback

$34.51 USD
$34.51 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa
  • Daily deals
  • Return policy
  • Payment method
  • Help center 24/7

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis - Paperback
Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis - Paperback
Linear Regression With Matlab: A Tutorial Introduction to the Mathematics of Regression Analysis - Paperback
$34.51/ea
$0.00
$34.51/ea $0.00

Product Description

by James V. Stone (Author)

Linear regression is the workhorse of data analysis. It is the first step, and often the only step, in fitting a simple model to data. This brief book explains the essential mathematics required to understand and apply regression analysis. The tutorial style of writing, accompanied by over 30 diagrams, offers a visually intuitive account of linear regression, including a brief overview of nonlinear and Bayesian regression. Hands-on experience is provided in the form of numerical examples, included as Matlab code at the end of each chapter, and implemented online as Python and Matlab code. Supported by a comprehensive glossary and tutorial appendices, this book provides an ideal introduction to regression analysis.

Number of Pages: 140
Dimensions: 0.3 x 9 x 6 IN
Publication Date: February 15, 2022
you might like