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Regression Analysis and Linear Models

Regression Analysis and Linear Models

0 - Default Title
Description
As a part of statistical modeling, regression analysis is the process and technique of understanding the relationship between dependent and independent variables. It is used in forecasting and prediction. The models used to understand and build relationships, using the linear predictor function, is known as linear models. The different models that come under this vast field are hierarchical linear model, general linear model, generalized linear model, etc. This book presents the complex subject of regression analysis and linear models, in the most comprehensible and easy to understand language. Such selected concepts that redefine the subject have been presented herein. Those with an interest in the field of regression analysis and linear models would find this textbook helpful.
Product details
Number of Pages:
244
Release Date:
2018-05-29
Publication Date:
2018-05-29
Publisher:
Larsen and Keller Education
Languages:
Original: English
ISBN10:
1635497051
ISBN13:
9781635497052
GPSR Manufacturer Reference:
Weight:
819 g
Height:
208 cm
Width:
282 cm
Thickness:
18 cm
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