An Analytic Strategy for Modeling Multiple-Item Responses

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

an investigation about the appropriate stochastic modeling framework for agricultural insurance pricing

با توجه به اینکه بیمه محصولات کشاورزی در ایران بیشتر جنبه ای حمایتی دارد و خسارات گزارش شده عموما بیش از حق بیمه های دریافت شده است، در این پایان نامه به جهت تعیین قیمت بیمه محصولات کشاورزی (گندم دیم) از فرآیندهای نوفه شلیک به عنوان مدلی مناسب استفاده شده است. بر اساس داده های صندوق بیمه کشاورزی از خسارات اعلام شده در سال زراعی 1388-1389 گندم دیم، در این پایان نامه حق بیمه خالص و ناخالص این محص...

The Psychometric Modeling of Ordered Multiple-choice Item Responses for Diagnostic Assessment with a Learning Progression

Modeling dichotomous item responses with free-knot splines

Item response theory (IRT) models are a class of generalized mixed effect (GME) models used by psychometricians to describe the response behavior of individuals to a set of categorically scored items. The typical assumptions of IRT are Unidimensionality (U) of the random effect; Conditional (or Local) Independence (CI), the item responses are independent given the random effect; andMonotonicity...

Modeling an Opportunistic Strategy for Information Navigation

A computational model of a user navigating Web pages was used to identify factors that affect Web site usability. The model approximates a typical user searching for specified target information in architectures of varying menu depth. Search strategies, link ambiguity, and memory capacity were varied and model predictions compared to human user data. A good fit to observed data was obtained for...