Multiple Regression in Practice
Series: Quantitative Applications in the Social Sciences; 50;
- Publisher's listprice GBP 36.99
-
17 671 Ft (16 830 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 3 534 Ft off)
- Discounted price 14 137 Ft (13 464 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
17 671 Ft
Availability
printed on demand
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher SAGE Publications, Inc
- Date of Publication 30 August 1985
- ISBN 9780803920545
- Binding Paperback
- No. of pages96 pages
- Size 215x139 mm
- Language English 90
Categories
Short description:
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise. The monograph was written without the use of matrix algebra, and numerous examples are provided from political science, sociology, and economics.
MoreLong description:
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Table of Contents:
The Multiple Regression Model
A Review
Specification Error
Measurement Error
Multicollinearity
Nonlinearity and Nonadditivity
Heteroscedasticity and Autocorrelation
Additional Concerns
