نتایج جستجو برای: multiple discriminant analysis mda

تعداد نتایج: 3415525  

2000
Leigh Drake Richard Simper

This article utilizes data envelopment analysis (DEA) to estimate the productivity of the English and Welsh police forces and to determine whether there are categorical scale effects in policing using multiple discriminant analysis (MDA). The article demonstrates that by using DEA efficiency results it is possible to make inferences about the optimal size and structure of the English and Welsh ...

Journal: : 2023

Theoretical background: Many years have passed since the publication of first multidimensional model (Z-score) early bankruptcy warning by E.I. Altman in 1968. New models emerged different countries. In this research stream, share econometric modelling based on assumptions discriminant analysis, i.e. MDA – Multiple Discriminant Analysis one classification methods categorised as empirical-induct...

Journal: :shiraz journal of system management 0
mohsen hajiamiri department of industrial engineering, zahedan branch, islamic azad university, zahedan, iran mohammad reza shahraki department of industrial engineering, university of sistan and baluchistan, zahedan, iran seyyed masoud barakati university of sistan and baluchistan, zahedan, iran

the bankruptcy prediction models have long been proposedas a key subject in finance. the present study, therefore, makes aneffort to examine the corporate bankruptcy prediction through employmentof the genetic algorithm model. furthermore, it attempts to evaluatethe strategies to overcome the drawbacks of ordinary methods forbankruptcy prediction through application of genetic algorithms. thesa...

2009
Charles Bouveyron Camille Brunet Vincent Vigneron

In this paper, the performance of different generative methods for the classification of cervical nuclei are compared in order to detect cancer of cervix. These methods include classical Bayesian approaches, such as Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) or Mixture Discriminant Analysis (MDA) and a high-dimensional approach (HDDA) recently developed. The class...

2009
Darush Yazdanfar

The failure rate of Small and medium enterprises (SMEs), is high in Sweden. Around 6000 SMEs go into bankruptcy every year. This paper attempts to identify the main determinants that are perceived to have contribution to the failure of Swedish SMEs. The research is in principle based on the analysis of panel data matched sample consisting of 1991 bankrupted and 1991 nonbankrupted Swedish SMEs. ...

Journal: :Behavior Research Methods & Instrumentation 1974

Journal: :journal of rangeland science 2013
lyla khalasi ahvazi mohammad ali zare chahouki faeze ghorbannezhad

eurotia ceratoides (l.) c. a. mey is an important plant species in semi-arid landsin iran. new approaches are required to determine the distribution of this plant species. forthis reason, geographical distributions of eurotia ceratoides were assessed using threedifferent models including: multiple discriminant analysis (mda), ecological niche factoranalysis (enfa) and logistic regression (lr). ...

2004
Jae H. Min Young-Chan Lee

This paper proposes a DEA-based approach to credit scoring. Compared with conventional models such as multiple discriminant analysis, logistic regression analysis, and neural networks for business failure prediction, which require extra a priori information, this new approach solely requires ex-post information to calculate credit scores. For the empirical evidence, this methodology was applied...

2017
Trevor J. Bihl Michael A. Temple Kenneth W. Bauer

Z-Wave is low-power, low-cost Wireless Personal Area Network (WPAN) technology supporting Critical Infrastructure (CI) systems that are interconnected by government-to-internet pathways. Given that Z-wave is a relatively unsecure technology, Radio Frequency Distinct Native Attribute (RF-DNA) Fingerprinting is considered here to augment security by exploiting statistical features from selected s...

2005
Jingbo Zhu Na Ye Xingzhi Chang Wenliang Chen Benjamin Ka-Yin T'sou

Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarization, information retrieval and text understanding. However, for linear text segmentation, there are two critical problems involving automatic boundary detection and automatic determination of the number of segments in ...

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