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LINEAR BIMODAL MODELS
CALIBRATION OF THE MODEL
7 other sections not shown
approach assumptions asymptotic behaviour Bias Cost calibration Chapter coefficients components cost difference cost weights covariance matrix cumulative distribution function data available defined degrees of freedom demand models deriving confidence limits discriminant analysis discussed in Appendix errors evaluation example explanatory model family F given histogram hypotheses in-vehicle independent vector variable individual choosing inference investigate journey likelihood function Limiting Time Values linear bimodal model log-likelihood logistic distribution logit analysis routine logit function logit model maximum likelihood estimate modal choice modelling mode 1 chosen model of modal multivariate-normal distribution normal distribution number of individuals observations obtained old pence original LTV outliers population positive semi-definite possible covariance matrices posterior distribution predicted previous study probability models probability of choosing probability statement probit model problem ratio Significance level small time savings specified statistical analysis Table techniques tion true value valuation variance variation Waiting time Walking zero