Parameter bias in misspecified Hybrid Choice Models: an empirical study.
نویسندگان
چکیده
منابع مشابه
Bias in misspecified mixtures.
A finite mixture is a distribution where a given observation can come from any of a finite set of components. That is, the density of the random variable X is of the form f(x) = pi 1f1(x) + pi 2f2(x) + ... + pi kfk(x), where the pi i are the mixing proportions and the fi are the component densities. Mixture models are common in many areas of biology; the most commonly applied is a mixture of no...
متن کاملBiases of parameter estimates in misspecified structural equation models
We propose a framework to handle lack of fit problems in structural equation models by analyzing misspecified moments. This framework allows to relate misspecification of the moment equations to biases of parameter estimates and non-centrality of the model. Misspecification of a single moment is shown to lead to misfit of all moments as well as biases in most parameter estimates in full informa...
متن کاملIs Cp an empirical Bayes method for smoothing parameter choice?
The Cp selection criterion is a popular method to choose the smoothing parameter in spline regression. Another widely used method is the generalized maximum likelihood (GML) derived from a normal-theory empirical Bayes framework. These two seemingly unrelated methods, have been shown in Efron (Ann. Statist. 29 (2001) 470) and Kou and Efron (J. Amer. Statist. Assoc. 97 (2002) 766) to be actually...
متن کاملRobust Parameter Designs: an Empirical Study
1. The Problem In off-line quality control, robust parameter design is a valuable tool in determining values of design variables that would minimize losses due to process variation and deviation from target. In this regard, combined-array designs have been suggested to estimate the effects of the design variables on the mean and variation of the quality characteristic under study. In combined a...
متن کاملParameter identification in Markov chain choice models
This work studies the parameter identification problem for the Markov chain choice model of Blanchet, Gallego, and Goyal used in assortment planning. In this model, the product selected by a customer is determined by a Markov chain over the products, where the products in the offered assortment are absorbing states. The underlying parameters of the model were previously shown to be identifiable...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Transportation Research Procedia
سال: 2018
ISSN: 2352-1465
DOI: 10.1016/j.trpro.2018.10.081