Results 131 to 140 of about 71,879 (309)
Unique positive solutions to q-discrete equations associated with orthogonal polynomials [PDF]
Tomas Lasic Latimer
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ABSTRACT This paper investigates methodological issues related to attribute non‐attendance (ANA) in choice experiments (CEs). First evaluates the variation in the prevalence of ANA across various non‐hypothetical choice experiments (NHCEs) elicitation formats compared to hypothetical choice experiments (HCEs).
Ahmed Yangui +2 more
wiley +1 more source
Pearson equations for discrete orthogonal polynomials: III—Christoffel and Geronimus transformations [PDF]
Manuel Mañas
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Effects of Aerobic and Strength‐Based Exercise on Consumer Preference for Protein
ABSTRACT The role of protein consumption in adaptations to physical exercise is well documented in prior research. However, little is known about how physical exercise and associated protein needs impact consumers’ protein demand. This study pairs matching methods with discrete choice experiments to estimate the impacts of physical exercise on ...
Justin D. Bina
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Abstract Psychological concepts are increasingly understood as complex dynamic systems that change over time. To study these complex systems, researchers are increasingly gathering intensive longitudinal data (ILD), revealing non‐linear phenomena such as asymptotic growth, mean‐level switching, and regulatory oscillations.
Jan I. Failenschmid +3 more
wiley +1 more source
Using a formulation of quantum mechanics based on the theory of orthogonal polynomials, we introduce a four-parameter system associated with the Hahn and continuous Hahn polynomials.
Alhaidari, A D, Li, Y. -T.
core
Integrable systems on the lattice and orthogonal polynomials of discrete variable
LaTeX, 10 pages, Comunication presented to the 6th International Symposium on Orthogonal Polynomials, Special Functions and their Applications, Rome, June 2001 (late submission to arxiv.org)
openaire +4 more sources
Reduced rank regression for mixed predictor and response variables
Abstract In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, ordinal and numeric variables. For dealing with the categorical predictors we use optimal scaling.
Mark de Rooij +2 more
wiley +1 more source
Speed Bump and Stock Market Quality: Evidence From NYSE American
ABSTRACT Should trading speed of high‐frequency traders be regulated? Using the data from the New York Stock Exchange American, this paper examines the impact of a speed bump on market liquidity and price discovery. Our results indicate that the use of a speed bump can lower the costs of adverse selection through reducing informed trading.
Bo Liu, Ke Xu
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ABSTRACT Monitoring of recreational fisheries faces ongoing challenges due to irregular data collection and sampling gaps. We used a robust statistical approach combining cross‐sectional panel modeling with generalized linear models to analyze discontinuous time series data.
E. Afrifa‐Yamoah +2 more
wiley +1 more source

