Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 564 for “"Logit"”.
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Learning Mixed Multinomial Logit Models
Multinomial logit (MNL) model is widely used to predict the probabilities of different outcomes. However, standard MNL model suffers from several issues, including but not limited to heterogeneous population, the restricted independence of irrelevant alternative (IIA) assumption, insufficient model …
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Learning structure in nested logit models
… developing an estimation procedure for nested logit models that optimizes over the nesting structure in addition to the model parameters. Current estimation practices require an a priori specification of a nesting structure. We formulate the problem of learning an optimal nesting structure as a …
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Stereotype Logit Models for High Dimensional Data
Gene expression studies are of growing importance in the field of medicine. In fact, subtypes within the same disease have been shown to have differing gene expression profiles (Golub et al., 1999). Often, researchers are interested in differentiating a disease by a categorical classification …
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Forecasting housing demand in Terengganu using multinomial logit
Housing demand is defined as the number of homes needed as residence per household. There are 3 types of housing developed in Terengganu which are low medium cost housing, medium cost housing and high cost housing. According to the NAPIC, during the 2nd quarter of 2016, Terengganu recorded the …
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Efficient scenario evaluations using the nested logit model
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1996.
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Nested logit model analysis of aggregate sales response
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1997.
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A Simultaneous Logit Model of the Dual-Earner Retirement Decision
The retirement decision of dual-earner families is becoming increasingly important in terms of economic issues and public policy. A theoretical optimization model is developed of the dual-earner retirement decision. The model determines the optimal ages of retirement for both husband and wife. The …
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Market response measurement using the multinominal, multiattribute logit choice model
Thesis (M.S.)--Massachusetts Institute of Technology, Alfred P. Sloan School of Management, 1980.
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The demand for health care services in Nigeria : a nested logit model
The main aim of this study is to understand better the factors that influence the health care demand decisions of Nigerian households. The achievement of this objective involves the estimation of the parameters of the demand for health care services in order to understand the nature of health care …
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Predicting business failure in the hospitality industry: an application of logit model
The phenomenon of business failure has attracted research interest in finance literature partly because of its impact on the U.S economy. Whereas an impressive body of knowledge has been accumulated on this subject thus far, the hospitality literature has lacked empirical studies that seek to …
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Determinants of financial inclusion among the youth in Namibia: A logit model analysis
… Namibia Financial Inclusion Survey (NFIS). A Logit model is employed to examine the determinants and barriers of financial inclusion, whereas a descriptive analysis is utilized to explore their macro-level differences. The overall results of the model showed that there is a positive …
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Ehdollinen logit-malli ja naiivi Bayes-luokittelija : Kaksi eri tapaa diskreetin valinnan päättelyyn
… kuvattua tilannetta on estimoitu ehdollisella logit-mallilla. Se on yleistetty lineaarinen malli, eikä sen avulla eri vaihtoehtojen valintatodennäköisyyksille ole mahdollista saada analyyttisia ratkaisuja. Tämän lisäksi ei mikään -vaihtoehto tuottaa sille vaikeuksia, sillä se on oikeastaan …
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Bayesian Calibration for Logit Model Microsimulations: Case for PECAS SD in San Diego
Bayesian inference is a versatile method for incorporating new information into a model while still respecting existing knowledge. One application of Bayesian inference is the calibration of models that are controlled by a large number of parameters, but where the data usable for calibration is …
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Comparação das funções de ligação logit e probit em regressão binária considerando diferentes tamanhos amostrais
… regressão binária por meio as funções de ligação logit e probit visando verificar a robustez das funções de ligação diante da variação do tamanho da amostra. Estas funções de ligação utilizam, respectivamente, as distribuições acumuladas logística e normal, sendo a principal diferença entre elas …
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Analysis Of Various Car-truck Crash Types Based On Ges And Fars Crash Databases Using Mutlinomial And Binary Logit Model
… and rear-end collisions. The nominal multinomial logit model and logistic regression models were utilized for this analysis. Divided section, alcohol involvement, adverse weather conditions, dark lighting condition and old age of drivers had a significant effect on the car-truck crashes and were …
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Propuesta de un modelo logit para evaluar el riesgo crediticio en empresas financieras: caso de la financiera Proempresa periodo 2017
En el transcurso del año 2012 al 2017 se ha manifestado un aumento de la morosidad en las financieras del Perú. La Financiera Proempresa aumentó su ratio de morosidad en un porcentaje considerable, teniendo un incremento incluso mayor al del promedio del total de financieras. Además, desde una …
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Estimating Desirable Cattle Traits Using Latent Class and Mixed Logit Models: A Choice Modeling Application to the U.S. Grass-Fed Beef Industry
… the preferences for cattle traits using mixed logit and latent class models. Choice experiment data from a 2013 mail survey of 1,052 U.S. grass-fed beef producers were used. The findings indicate that grass-fed beef producers generally preferred lower-priced, heavy animals that were …
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