نتایج جستجو برای: discriminate analysis
تعداد نتایج: 2842245 فیلتر نتایج به سال:
Background & Aims: This study aimed to translate Parkinson Disease Quality of Life (PDQL) Questionnaire into Persian and test its reliability and validity in Iranian patients with Parkinson disease. Method: In order to standardize the questionnaire, a standard "Forward-Backward" translation, cognitive debriefing and cultural adaptation procedure were applied and the English version of PDQL was ...
Objectives: The aim of this research was to investigate the predictive role of emotional intelligence and religious coping in relapse or recovery from substance abuse. Method: 62 male subjects who had presented to two addiction detoxification centers in the city of Nafajabad, Iran, and who were selected using convenience sampling, were divided into an abstinent (31 individuals with a history of...
The diagnostic analytic of harmonic source is crucial research due to identify and diagnose the in power system. This paper presents a comparison machine learning (ML) algorithm known as linear discriminate analysis (LDA) k-nearest neighbor (KNN) identifying diagnosing sources. Voltage current features that estimated from time-frequency representation (TFR) S-transform are used input for ML. Se...
To study the morphological variation of Capoeta saadii, 15 specimens from Maharlu River (Maharlu lake basin), 15 from Shapour River (Persis basin) and 15 from Kor River (Kor river basin) were collected. In the Lab, a total of 20 morphometric traits were measured using a digital caliper. Then, standardized data were analyzed using one-way ANOVA analysis, Duncan grouping, principal component anal...
In many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing interest in improving discrimination power in DEA yet. The aim of this paper is ranking extreme efficient DMUs in DEA based on exp...
Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate between efficient DMUs. The aim of this paper is ranking all efficient (extreme and non-ex...
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