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Alternative Tests for the Selection of Model Variables (Classic Reprint)

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Book Title
Alternative Tests for the Selection of Model Variables
Subject
Probability & Statistics / General
Genre
Classics
Original Language
English
Country/Region of Manufacture
America
Narrative Type
Nonfiction
Intended Audience
Adults
Personalize
No
Inscribed
No
Ex Libris
No
Personalized
No
Signed
No
ISBN
9781332248919
Subject Area
Mathematics
Publication Name
Alternative Tests for the Selection of Model Variables (Classic Reprint)
Item Length
9 in
Publisher
Forgotten Books
Publication Year
2015
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.2 in
Author
Nathaniel J. Mass
Item Width
6 in
Item Weight
5.6 Oz
Number of Pages
112 Pages

關於產品

Product Information

Excerpt from Alternative Tests for the Selection of Model Variables One of the most difficult and subtle tasks confronting the mathematical model-builder is the selection of appropriate variables and functional relationships for his model. In specifying each equation, the modeler faces two distinct problems. First, he must posit a priori hypotheses about the variables or factors which he believes are important causes of change in the dependent variable of that equation. Second, once such hypotheses have been advanced, the modeler must have some means of testing whether or not, given the available empirical information, those variables which a priori reasoning has led him to consider should be included in the model. Based on the results of such testing, the modeler may be led to reject certain variables as being relatively unimportant, and may thereby begin to refine his initial causal hypotheses. This paper is addressed to the second aspect of the problem of variable selection - testing the importance of initially-hypothesized variables. The paper examines a variety of tests used by model-builders to aid in the selection of model variables and demonstrates that some are far better suited to the task than others. In particular, the paper suggests that the only tests which provide a sound basis for including or excluding an individual variable are tests which examine the variable's impact on overall model behavior. Conversely, the single-equation statistical tests employed extensively in the social sciences are shown to be inadequate for rejecting or accepting a variable in a causal model. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Product Identifiers

Publisher
Forgotten Books
ISBN-10
1332248918
ISBN-13
9781332248919
eBay Product ID (ePID)
246381980

Product Key Features

Author
Nathaniel J. Mass
Publication Name
Alternative Tests for the Selection of Model Variables (Classic Reprint)
Format
Trade Paperback
Language
English
Subject
Probability & Statistics / General
Publication Year
2015
Type
Textbook
Subject Area
Mathematics
Number of Pages
112 Pages

Dimensions

Item Length
9 in
Item Height
0.2 in
Item Width
6 in
Item Weight
5.6 Oz

Additional Product Features

Target Audience
Trade
Illustrated
Yes

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