[图书][B] Statistical inference: the minimum distance approach

A Basu, H Shioya, C Park - 2011 - books.google.com
This book gives a comprehensive account of density-based minimum distance methods and
their use in statistical inference. It covers statistical distances, density-based minimum …

Assessing the sustainable development and renewable energy sources relationship in EU countries

B Włodarczyk, D Firoiu, GH Ionescu, F Ghiocel… - Energies, 2021 - mdpi.com
In the context of the 2030 Agenda for Sustainable Development, by adopting the EU
Renewable Energy Directive and the European Green Deal, the European Union aims at an …

A modified Kolmogorov–Smirnov test for normality

Z Drezner, O Turel, D Zerom - Communications in Statistics …, 2010 - Taylor & Francis
In this article we propose an improvement of the Kolmogorov-Smirnov test for normality. In
the current implementation of the Kolmogorov-Smirnov test, given data are compared with a …

The exponomial choice model: A new alternative for assortment and price optimization

A Alptekinoğlu, JH Semple - Operations Research, 2016 - pubsonline.informs.org
We investigate the use of a canonical version of a discrete choice model due to Daganzo
(1979)[Daganzo C (1979) Multinomial Probit: The Theory and Its Application to Demand …

Reference interval estimation from mixed distributions using truncation points and the Kolmogorov-Smirnov distance (kosmic)

J Zierk, F Arzideh, LA Kapsner, HU Prokosch… - Scientific reports, 2020 - nature.com
Appropriate reference intervals are essential when using laboratory test results to guide
medical decisions. Conventional approaches for the establishment of reference intervals …

Machine learning-based global air quality index development using remote sensing and ground-based stations

TS Anggraini, H Irie, AD Sakti, K Wikantika - Environmental Advances, 2024 - Elsevier
Air pollution refers to the presence of hazardous substances in the air that has adverse
effects on health, causing millions premature deaths annually. Ground-based stations can …

Inhibition of return: An information processing theory of its natures and significance

RS Redden, WJ MacInnes, RM Klein - Cortex, 2021 - Elsevier
Inhibition of return (IOR) is an inhibitory aftereffect of visuospatial orienting, typically resulting
in slower responses to targets presented in an area that has been recently attended. Since …

Dynamics of implementation of SDG 7 targets in EU member states 5 years after the adoption of the Paris agreement

D Firoiu, GH Ionescu, R Pîrvu, LM Cismaș, S Tudor… - Sustainability, 2021 - mdpi.com
The European Union, by adopting the European Green Deal, aims at an extremely
ambitious goal to become climate neutral by 2050. This objective implies a massive …

A new approach for credit scoring by directly maximizing the Kolmogorov–Smirnov statistic

F Fang, Y Chen - Computational Statistics & Data Analysis, 2019 - Elsevier
Credit scoring plays a critical role in many areas such as business, finance, engineering and
health. The Kolmogorov–Smirnov statistic is one of the most important performance …

A new Kolmogorov-Smirnov test based on representative points in Weibull distributions

S Wang, J Liang, H Peng, H Ye - Communications in Statistics …, 2024 - Taylor & Francis
Hypothesis testing for the Weibull distribution always raises attention in the literature. It is
challenging especially in small-sample scenarios. In this paper, we propose a new …