Contact
Cum să cumpăr
Livrare
Consilier de cumpărături
engleză
135 b
Până la 30 de zile pentru returnare
Clienții au cumpărat de asemenea
/
Cărți pliante
56.85
lei
/
Carte broșată
236.77
lei
Parameter estimation for logistic regression is usually based on maximizing the likelihood function. For large well-balanced datasets ML estimation is a satisfactory approach. Unfortunately, ML may fail completely or at least produce poor results in terms of estimated probabilities and confidence intervals of parameters, specially for small datasets. This study extends logistic regression model to fuzzy logistic regression model by suggesting a new approach based on fuzzy concepts to estimate the model parameters. This study produces three proposed mathematical models with different objective functions. The first is formulated as a bi-objective programming model. The second is formulated using a goal programming approach, while the third is a mathematical programming model which minimizes the total spread of the estimated probabilities of the logistic model. The proposed models are evaluated and their results are compared to ML results through a Monte Carlo simulation study. The results are analyzed and summarized to conclude the following: The proposed models outperform ML approach for small size data sets with respect to the similarity measure as goodness of fit index.
Informații despre carte
engleză
Categorii
Dăruiește această carte chiar astăzi
Este foarte ușor
1 Adaugă cartea în coș și selectează Livrează ca un cadou 2 Îți vom trimite un voucher în schimb 3 Cartea va ajunge direct la adresa destinataruluiAr putea de asemenea, să te intereseze
/
Carte broșată
226.91
lei
/
Carte broșată
850.72
lei
/
Carte broșată
261.46
lei
/
Carte broșată
335.13
lei
Bună ziua! Sunt Libroamiko, consilierul dumneavoastră de cărți.
Cu ce vă pot ajuta?