Free shipping over $79 | Order by Dec 31 and enjoy a $10 voucher on your next purchase
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Linear Regression - David J. Olive

Linear Regression

By: David J. Olive

eText | 18 April 2017

At a Glance

eText

$159.01

or 4 interest-free payments of $39.75 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This text covers both multiple linear regression and some experimental design models. The text uses the response plot to visualize the model and to detect outliers, does not assume that the error distribution has a known parametric distribution, develops prediction intervals that work when the error distribution is unknown, suggests bootstrap hypothesis tests that may be useful for inference after variable selection, and develops prediction regions and large sample theory for the multivariate linear regression model that has m response variables. A relationship between multivariate prediction regions and confidence regions provides a simple way to bootstrap confidence regions. These confidence regions often provide a practical method for testing hypotheses. There is also a chapter on generalized linear models and generalized additive models.

There are many R functions to produce response and residual plots, to simulate prediction intervals and hypothesis tests, to detect outliers, and to choose response transformations for multiple linear regression or experimental design models.

This text is for graduates and undergraduates with a strong mathematical background. The prerequisites for this text are linear algebra and a calculus based course in statistics.

on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionMathematicsProbability & StatisticsComputing & I.T.Business ApplicationsMathematical & Statistical Software

More in Probability & Statistics

untitled - TBC ANZ

eBOOK

untitled

eBook

$31.99

An Introduction to Stochastic Modeling - Gabriel Lord

eBOOK

An Introduction to Stochastic Modeling

eBook

RRP $145.41

$130.99

10%
OFF
Bayesian Entrepreneurship - Ajay Agrawal

eBOOK

Bayesian Entrepreneurship

eBook

RRP $202.70

$162.99

20%
OFF

This product is categorised by