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Does faster broadband generate more economic benefits than normal-speed broadband? This study examines the differential economic impacts of broadband of different speeds. Utilizing the broadband availability and speed data from the National Broadband Map, a first-differenced regression analysis...
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In this paper, we study the competition model of commercial websites with learning and updating speed, and further analyze the influence of learning and updating speed on the growth of commercial websites from a nonlinear dynamics perspective. Using the center manifold theory and the normal form...
Persistent link: https://www.econbiz.de/10010874429
The effect of travel time variability (TTV) on route choice behavior is explored in this study. A stated preference survey is conducted to collect behavioral data on Shanghai drivers’ choice between a slow but stable route and a fast but unreliable route. Travel time and TTV are respectively...
Persistent link: https://www.econbiz.de/10010867434
In this paper, we propose a robust empirical likelihood (REL) inference for the parametric component in a generalized partial linear model (GPLM) with longitudinal data. We make use of bounded scores and leverage-based weights in the auxiliary random vectors to achieve robustness against...
Persistent link: https://www.econbiz.de/10010576502
Purpose – The purpose of this paper is to introduce a high load capacity coaxial couple wheeled robot (CCWR) and investigate a simple structure but effective fuzzy equilibrium controller based on (Takagi‐Sugeno) T‐S for balance control in wide‐angle range. Design/methodology/approach –...
Persistent link: https://www.econbiz.de/10014832088
In this paper, we focus on single-index models for longitudinal data. We propose a procedure to estimate the single-index component and the unknown link function based on the combination of the penalized splines and quadratic inference functions. It is shown that the proposed estimation method...
Persistent link: https://www.econbiz.de/10005153148
In this paper, we consider improved estimating equations for semiparametric partial linear models (PLM) for longitudinal data, or clustered data in general. We approximate the non-parametric function in the PLM by a regression spline, and utilize quadratic inference functions (QIF) in the...
Persistent link: https://www.econbiz.de/10005195891