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Asymptonic inference in discrete respone models

Fahrmeier, Ludwig; Kaufmann, Heinz - In: Statistische Hefte : internationale Zeitschrift für … 27 (1986) 3, pp. 179-205

Persistent link: https://www.econbiz.de/10003544267

Estimating spatial autocorrelation with sampled network data

Zhou, Jing; Tu, Yundong; Chen, Yuxin; Wang, Hansheng - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 1, pp. 130-138

Persistent link: https://www.econbiz.de/10011704139

Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples

Mozharovskyi, Pavlo; Vogler, Jan - In: Economics letters 148 (2016), pp. 87-90

Persistent link: https://www.econbiz.de/10011619891

Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model

Tran, Kien C.; Tsionas, Efthymios G. - 2023

Persistent link: https://www.econbiz.de/10014382631

Likelihood inference in an autoregression with fixed effects

Dhaene, Geert; Jochmans, Koen - In: Econometric theory 32 (2016) 5, pp. 1178-1215

Persistent link: https://www.econbiz.de/10011661738

Record data from Kies distribution and related statistical inferences

Al-Olaimat, Nesreen M.; Bayoud, Husam A.; Raqab, Mohammad Z. - In: Statistics in transition : an international journal of … 22 (2021) 4, pp. 153-170

The Kies probability model was proposed as an alternative to the extended Weibull models as it provides a more efficient fit to some real-life data sets in comparison to the aforementioned models. The paper proposes classical and Bayesian inferences for the Kies distribution based on records....

Persistent link: https://www.econbiz.de/10012818209