Linear probability, logit, and probit models:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Beverly Hills
Sage Publications
c1984
|
| Series: | Quantitative applications in the social sciences
no. 07-045 |
| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references (p. 93-94) The linear probability model -- Specification of nonlinear probability models -- Estimation of probit and logit models for dichotomous dependent variables -- Minimum chi-square estimation and polytomous models -- Minimum chi-square estimation and polytomous models -- Summary and extensions 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 |
| Physical Description: | 1 Online-Ressource (95 p.) |
| ISBN: | 0585216932 9780585216935 9781412984744 1412984742 |
Staff View
MARC
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Record in the Search Index
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| any_adam_object | |
| author | Aldrich, John H. |
| author_facet | Aldrich, John H. |
| author_role | aut |
| author_sort | Aldrich, John H. |
| author_variant | j h a jh jha |
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| dewey-full | 519.2 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.2 |
| dewey-search | 519.2 |
| dewey-sort | 3519.2 |
| dewey-tens | 510 - Mathematics |
| discipline | Soziologie Mathematik Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | DE-604.BV043161200 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:19:22Z |
| institution | BVB |
| isbn | 0585216932 9780585216935 9781412984744 1412984742 |
| language | English |
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| oclc_num | 300738219 |
| open_access_boolean | |
| physical | 1 Online-Ressource (95 p.) |
| psigel | ZDB-4-EBA |
| publishDate | 1984 |
| publishDateSearch | 1984 |
| publishDateSort | 1984 |
| publisher | Sage Publications |
| record_format | marc |
| series2 | Quantitative applications in the social sciences |
| spelling | Aldrich, John H. Verfasser aut Linear probability, logit, and probit models John H. Aldrich, Forrest D. Nelson Beverly Hills Sage Publications c1984 1 Online-Ressource (95 p.) txt rdacontent c rdamedia cr rdacarrier Quantitative applications in the social sciences no. 07-045 Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002 Includes bibliographical references (p. 93-94) The linear probability model -- Specification of nonlinear probability models -- Estimation of probit and logit models for dichotomous dependent variables -- Minimum chi-square estimation and polytomous models -- Minimum chi-square estimation and polytomous models -- Summary and extensions 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 Probabilités Logits Probits MATHEMATICS / Probability & Statistics / General bisacsh Waarschijnlijkheidstheorie gtt Logits gtt Probits gtt Sociale wetenschappen gtt Logits fast Probabilities fast Probits fast Probability Logistic Models Multivariate Analysis Social Sciences / Statistics / methods Sozialwissenschaften Statistik Probabilities Statistik (DE-588)4056995-0 gnd rswk-swf Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Stochastisches Modell (DE-588)4057633-4 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Lineares Modell (DE-588)4134827-8 gnd rswk-swf Soziologie (DE-588)4077624-4 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Qualitative Daten (DE-588)4176592-8 gnd rswk-swf Qualitative Daten (DE-588)4176592-8 s Datenanalyse (DE-588)4123037-1 s Statistik (DE-588)4056995-0 s 1\p DE-604 Soziologie (DE-588)4077624-4 s 2\p DE-604 Stochastisches Modell (DE-588)4057633-4 s 3\p DE-604 Regressionsanalyse (DE-588)4129903-6 s 4\p DE-604 Wahrscheinlichkeit (DE-588)4137007-7 s 5\p DE-604 Lineares Modell (DE-588)4134827-8 s 6\p DE-604 Nelson, Forrest D. Sonstige oth Erscheint auch als Druck-Ausgabe, Paperback 0-8039-2133-0 Erscheint auch als Druck-Ausgabe, Paperback 978-0-8039-2133-7 http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=24734 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Aldrich, John H. Linear probability, logit, and probit models Probabilités Logits Probits MATHEMATICS / Probability & Statistics / General bisacsh Waarschijnlijkheidstheorie gtt Logits gtt Probits gtt Sociale wetenschappen gtt Logits fast Probabilities fast Probits fast Probability Logistic Models Multivariate Analysis Social Sciences / Statistics / methods Sozialwissenschaften Statistik Probabilities Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Stochastisches Modell (DE-588)4057633-4 gnd Datenanalyse (DE-588)4123037-1 gnd Lineares Modell (DE-588)4134827-8 gnd Soziologie (DE-588)4077624-4 gnd Regressionsanalyse (DE-588)4129903-6 gnd Qualitative Daten (DE-588)4176592-8 gnd |
| subject_GND | (DE-588)4056995-0 (DE-588)4137007-7 (DE-588)4057633-4 (DE-588)4123037-1 (DE-588)4134827-8 (DE-588)4077624-4 (DE-588)4129903-6 (DE-588)4176592-8 |
| title | Linear probability, logit, and probit models |
| title_auth | Linear probability, logit, and probit models |
| title_exact_search | Linear probability, logit, and probit models |
| title_full | Linear probability, logit, and probit models John H. Aldrich, Forrest D. Nelson |
| title_fullStr | Linear probability, logit, and probit models John H. Aldrich, Forrest D. Nelson |
| title_full_unstemmed | Linear probability, logit, and probit models John H. Aldrich, Forrest D. Nelson |
| title_short | Linear probability, logit, and probit models |
| title_sort | linear probability logit and probit models |
| topic | Probabilités Logits Probits MATHEMATICS / Probability & Statistics / General bisacsh Waarschijnlijkheidstheorie gtt Logits gtt Probits gtt Sociale wetenschappen gtt Logits fast Probabilities fast Probits fast Probability Logistic Models Multivariate Analysis Social Sciences / Statistics / methods Sozialwissenschaften Statistik Probabilities Statistik (DE-588)4056995-0 gnd Wahrscheinlichkeit (DE-588)4137007-7 gnd Stochastisches Modell (DE-588)4057633-4 gnd Datenanalyse (DE-588)4123037-1 gnd Lineares Modell (DE-588)4134827-8 gnd Soziologie (DE-588)4077624-4 gnd Regressionsanalyse (DE-588)4129903-6 gnd Qualitative Daten (DE-588)4176592-8 gnd |
| topic_facet | Probabilités Logits Probits MATHEMATICS / Probability & Statistics / General Waarschijnlijkheidstheorie Sociale wetenschappen Probabilities Probability Logistic Models Multivariate Analysis Social Sciences / Statistics / methods Sozialwissenschaften Statistik Wahrscheinlichkeit Stochastisches Modell Datenanalyse Lineares Modell Soziologie Regressionsanalyse Qualitative Daten |
| url | http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=24734 |
| work_keys_str_mv | AT aldrichjohnh linearprobabilitylogitandprobitmodels AT nelsonforrestd linearprobabilitylogitandprobitmodels |