When design decisions are informed by consumer choice models, uncertainty in choice model predictions creates uncertainty for the designer. We investigate the variation and accuracy of market share predictions by characterizing fit and forecast accuracy of discrete choice models for the US light duty new vehicle market. Specifically, we estimate multinomial logit models for 9000 utility functio...

This paper identifies several serious problems with the widespread use of ANOVAs for the analysis of categorical outcome variables such as forced-choice variables, question-answer accuracy, choice in production (e.g. in syntactic priming research), et cetera. I show that even after applying the arcsine-square-root transformation to proportional data, ANOVA can yield spurious results. I discuss ...

Overview: Categorical Data and Graphics Methods for discrete distributions – testing goodness of fit Hanging rootograms Robust distribution plots Methods for two-way frequency tables – understanding association Fourfold displays Sieve diagrams Mosaic displays and loglinear models for n-way tables Mosaic displays Mosaic matrices Correspondence analysis and MCA Logistic and logit regression Logit...

customer satisfaction is the most important element for developing and sustaining organizational priorities and practices. thus, we examined farmers’ overall satisfaction with agricultural extension services and its determinants using data collected from 150 beneficiary farmers in north west ethiopia. the findings show that about 55% of the interviewees were satisfied whereas 45% of them were d...

this study examined the nature and patterns of rice consumption in nigeria, using kwara state as a case study. the study methodology comprised a two stage sampling technique which was used to survey 110 rice consumer households across two villages and six towns in kwara state. analytical tools used in the study include descriptive statistics and the multinomial logit model. the major factors th...

The purpose of this study is to estimate structural elements of patients’ demand functions for healthcare facilities, particularly hospitals and ambulatory surgery centers (ASCs), towards the goal of answering questions about welfare gains earned from the introduction of ASCs. Spatial variation across patients and facilities, among other variables, is used for identification. Using data that co...

The authors of this article developed new approaches to present analytic results from mixed-effects binary logit models in longitudinal data analysis. We first described basic specifications of mixed-effects logit models, the derivation of the fixed and the random effects, and nonlinear predictions of the response probability and the corresponding standard errors. Particular attention was paid ...

Classical categorical regression models such as the multinomial logit and proportional odds models are shown to be readily handled by the vector generalized linear and additive model (VGLM/VGAM) framework. Additionally, there are natural extensions, such as reduced-rank VGLMs for dimension reduction, and allowing covariates that have values specific to each linear/additive predictor, e.g., for ...

Pedestrians are the most vulnerable road users. For evaluating and modifying pedestrian safety in unsignalized crosswalks,the first important issue is to identify and explore factors affecting the interaction behavior of pedestrians andvehicles in conflict areas. By analyzing those factors and determining how they affect road user's behavior, we canrepresent the plans and proc...

This paper describes the development of two models which determine the financial solidity of Dutch non-life insurers: an ordered logit model and a neural network model. Since bankruptcies of Dutch insurance companies are very rare, the annual assessment texts made by the supervisor are used to classify the companies into one of the three possible groups: strong, moderate, or weak. Both models u...