نتایج جستجو برای: principal factor analysis pfa

تعداد نتایج: 3538350  

Mohammad Salehi

University of Tehran administers a test known as The University of Tehran English Proficiency Test (the UTEPT) to PhD candidates on a yearly basis. By definition, the test can be considered a high-stakes one. The validity of high stakes tests needs to be known (Roever, 2001). As Mesick (1988) maintains, if the validity of high stakes tests are not known, it might have some undesirable consequen...

Journal: :Applied Water Science 2023

Abstract The annual growth rate of pharmaceutical industry in Pakistan is 10% and continuously expanding to fulfill the increasing demand rapidly growing population. But inability sector comply with environmental standards leads introduction large quantities various pollutants natural environment which presents serious ecological challenges. In this study, effluent wastewater samples from 14 ma...

Journal: :Journal of rehabilitation research and development 1997
R A Cooper R N Robertson D P VanSickle M L Boninger S D Shimada

This technical note illustrates that some of the differences that have been reported regarding wheelchair propulsion may be due to the methods used to calculate key variables. Wheelchair ambulation is a very important form of locomotion that lacks a standard pushrim force and moment analysis system. We have developed tools for analyzing upper limb biomechanics during manual wheelchair propulsio...

2010
J. P. Sun S. Y. Mao G. H. Wang

This paper presents an effective Polar Format Algorithm (PFA) for spotlight bistatic synthetic aperture radar (SAR) with arbitrary geometry configuration. Nonuniform interpolation and resampling are adopted when converting raw data from polar coordinates to Cartesian coordinates according to the characteristics of raw data samples in spatial frequency space. Thus, the proposed algorithm avoids ...

2011
Aura POPA

This article presents a series of multidimensional analysis methods on agricultural factors at county level, performing subsequently a comparison between the results obtained in 2004 and, respectively, in 2008. By applying factor analysis, principal components analysis and hierarchical classes analysis, this article will seek to highlight the main variables that influence the agricultural produ...

2015
Ilya M. Goldin April Galyardt

Models of student performance can incorporate a skill decomposition that lists the skills that each activity requires. A good model must be sensitive to improvements in skill decomposition. We validate the Recent-Performance Factors Analysis model of student performance by checking its sensitivity to the skill decomposition. We use a dataset from a tutoring system where the skill model has been...

2017
Mahin Eslami Habibeh Ahmadipour Faezeh Bagheri

Background — Health anexity affects the doctor–patient relationship and also causes unnecessary further procedures. Therefore, early diagnosis of it with a valid instrument is very important. Objectives — The aim of this study was to evaluate psychometric properties of the Persian version of 14-item Whiteley Index. Material and Methods — This research was a cross sectional study carried out in ...

2016
Sara Fontanella Nickolay Trendafilov Kohei Adachi

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

2016
Sara Fontanella Nickolay Trendafilov Kohei Adachi

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

2016
Sara Fontanella Nickolay Trendafilov Kohei Adachi

Sparse principal component analysis is a very active research area in the last decade. In the same time, there are very few works on sparse factor analysis. We propose a new contribution to the area by exploring a procedure for sparse factor analysis where the unknown parameters are found simultaneously.

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