Isbn: 9781544364018 - interpreting and comparing effects in logistic, probit, and logit regression (11 risultati)

Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression (Quantitative Applications in the Social Sciences)
Hagenaars, Jacques A. P.; Kuhnel, Steffen; Andress, Hans-Jurgen
- Brossura
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression
Hagenaars, Jacques A. P./ Kuhnel, Steffen/ Andress, Hans-Jurgen
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website. 204 pp. Englisch.…

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent variables in three typical research situations: (i) within one equation, (ii) between identical equations estimated in different subgroups, and (iii) between nested equations. Each of these three kinds of comparisons brings along its own particular form of comparison problems. Further, in all three areas, the precise nature of comparison problems in logistic regression depends on how the logistic regression model is looked at and how the effects of the independent variables are computed. This volume presents a practical, unified treatment of these problems, and considers the advantages and disadvantages of each approach, and when to use them, so that applied researchers can make the best choice related to their research problem. The techniques are illustrated with data from simulation experiments and from publicly available surveys. The datasets, along with Stata syntax, are available on a companion website. 204 pp. Englisch.…

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Taschenbuch. Condizione: Neu. Interpreting and Comparing Effects in Logistic, Probit, and Logit Regression | Jacques A. P. A. P. Hagenaars (u. a.) | Taschenbuch | Quantitative Applications in the Social Sciences | Englisch | 2024 | SAGE Publications, Inc | EAN 9781544364018 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu Print on Demand.…