Results 311 to 320 of about 97,812 (355)

Omission and hallucination prevalence of clinical guidelines in diagnostic large language model outputs. [PDF]

open access: yesBMJ Health Care Inform
van Kessel R   +7 more
europepmc   +1 more source

Quantum-enhanced reconfigurable in-memory stochastic computing. [PDF]

open access: yesLight Sci Appl
Yang HZ   +7 more
europepmc   +1 more source

A stochastic frontier regression model with dynamic frontier

Communications in Statistics - Simulation and Computation, 2020
We consider a stochastic frontier regression model with a time dependent efficiency process, which is assumed to follow an exponential autoregressive sequence.
T. V. Ramanathan   +2 more
openaire   +1 more source

A spatial stochastic frontier model with endogenous frontier and environmental variables [PDF]

open access: yesEuropean Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Levent Kutlu   +2 more
exaly   +3 more sources

Stochastic Frontier Analysis

2000
Modern textbook presentations of production economics typically treat producers as successful optimizers. Conventional econometric practice has generally followed this paradigm, and least squares based regression techniques have been used to estimate production, cost, profit and other functions.
Kumbhakar, Subal C., Lovell, C.A. Knox
openaire   +3 more sources

Efficiency measurement in the stochastic frontier model

European Journal of Operational Research, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jan Ondrich, John Ruggiero
exaly   +3 more sources

Bounded rationality and thick frontiers in stochastic frontier analysis

European Journal of Operational Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Dynamic quantile stochastic frontier models

International Journal of Hospitality Management, 2020
This paper introduces the concept of dynamic quantile regression to the context of stochastic frontier models. We develop a Dynamic Quantile Stochastic Frontier (DQSF) in a Bayesian framework to take into account possible shifts of production (i.e. outputs) over time.
Assaf, A. George   +2 more
openaire   +1 more source

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