Coverart for item
The Resource Linear probability, logit and probit models, John H. Aldrich and Forrest D. Nelson, (electronic resource)

Linear probability, logit and probit models, John H. Aldrich and Forrest D. Nelson, (electronic resource)

Label
Linear probability, logit and probit models
Title
Linear probability, logit and probit models
Statement of responsibility
John H. Aldrich and Forrest D. Nelson
Creator
Contributor
Subject
Language
eng
Summary
After showing why ordinary regression analysis is not appropriate for investigating dichotomous or otherwise 'limited' dependent variables, this volume examines three techniques which are well suited for such data. It reviews the linear probability model and discusses alternative specifications of non-linear models.--
Member of
Assigning source
Provided by publisher
http://library.link/vocab/creatorDate
1947-
http://library.link/vocab/creatorName
Aldrich, John H.
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Nelson, Forrest D
Series statement
  • SAGE research methods
  • Quantitative applications in the social sciences
Series volume
45
http://library.link/vocab/subjectName
  • Probabilities
  • Logits
  • Probits
Target audience
specialized
Label
Linear probability, logit and probit models, John H. Aldrich and Forrest D. Nelson, (electronic resource)
Link
Instantiates
Publication
Note
"A Sage university paper."
Bibliography note
Includes bibliographical references
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
EDZ0000018619
Extent
1 online resource (95 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781412984744
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)987766635
Label
Linear probability, logit and probit models, John H. Aldrich and Forrest D. Nelson, (electronic resource)
Link
Publication
Note
"A Sage university paper."
Bibliography note
Includes bibliographical references
Carrier category
volume
Carrier category code
  • nc
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
EDZ0000018619
Extent
1 online resource (95 pages)
Form of item
online
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9781412984744
Media category
unmediated
Media MARC source
rdamedia
Media type code
  • n
Other physical details
illustrations
Specific material designation
remote
System control number
(OCoLC)987766635

Library Locations

    • Badia FiesolanaBorrow it
      Via dei Roccettini 9, San Domenico di Fiesole, 50014, IT
      43.803074 11.283055
Processing Feedback ...