نتایج جستجو برای: known statistical technique named principal component analysispca gorganroud basin
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article history: received date: 13 september, 2016 review date: 2 october 2016 accepted date:20 november 2016 printed on line: 5 january purpose: the present study was done to introduce an efficient tool in the field of moral behavior. material & method: method of the study was correlational, its approach was test developing and its population was students of islamic azad university- astara and...
River Hindon is an important river catering the demand of highly populated rural and industrial cluster of western Uttar Pradesh, India. Water quality of river Hindon is deteriorating at an alarming rate due to various industrial, municipal and agricultural activities. The present study aimed at identifying the pollution sources and quantifying the degree to which these sources are responsible ...
This paper introduces a new orthogonal transfonn the multivariate change detection (MeD) transfonn based on an established multivariate statistical technique canonical correlation analysis. The theory for canonical correlation analysis is sketched and modified to be more directly applicable in our context. As opposed to traditional univariate change detection schemes our scheme transforms two s...
Due to some important properties of B ezier splines, they have great potential use in computer-aided mammogram diagnosis. In this paper, B ezier splines are applied in both lesion detection and characterization processes, where lesion detection is achieved by segmentation using a natural threshold computed from B ezier smoothed histogram; and lesion characterization is achieved by measuring the...
Accurate estimates of future age-specific incidence and mortality are critical for allocation of resources to breast cancer control programmes and evaluation of screening programmes. The purpose of this study is to apply functional data analysis techniques to model age-specific breast cancer mortality time trends, and forecast entire age-specific mortality functions using a state-space approach...
spectral decomposition of time series has a significant role in seismic data processing and interpretation. since the earth acts as a low-pass filter, it changes frequency content of passing seismic waves. conventional representing methods of signals in time domain and frequency domain cannot show time and frequency information simultaneously. time-frequency transforms upgraded spectral decompo...
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