id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_s7h4q3jntjhiferlkk4f67aqoq	L.C. Thomas	Modeling consumer acceptance probabilities	2006	8	.pdf	application/pdf	6973	610	62	This paper investigates how to estimate the likelihood of a customer accepting a loan offer as a function of the offer parameters and how to In this paper, we suggest three approaches to determine the probability that an applicant with characteristics will accept offer Firstly, a logistic regression model is applied to obtain the acceptance probability. Secondly, linear programming is adapted to obtain the acceptance probability model in the case where there is a dominant offer characteristic, obtain the probability of acceptance in the case where there is a dominant offer characteristic. Keywords: Student bank account; Acceptance probability; Coarse classifying; Logistic regression model; Linear programming; Accelerated life model Application and offer characteristics used in the model characteristic at which this applicant would accept the offer. A data set of the application and offer characteristics for 331 Result of logistic regression on offer and applicant characteristics	./cache/work_s7h4q3jntjhiferlkk4f67aqoq.pdf	./txt/work_s7h4q3jntjhiferlkk4f67aqoq.txt