نتایج جستجو برای: known statistical technique named principal component analysispca gorganroud basin

تعداد نتایج: 2254885  

Journal: :Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 2000
S Raychaudhuri J M Stuart R B Altman

A series of microarray experiments produces observations of differential expression for thousands of genes across multiple conditions. It is often not clear whether a set of experiments are measuring fundamentally different gene expression states or are measuring similar states created through different mechanisms. It is useful, therefore, to define a core set of independent features for the ex...

Journal: :Journal of business & economic statistics : a publication of the American Statistical Association 2014
Mian Huang Runze Li Hansheng Wang Weixin Yao

When the functional data are not homogeneous, e.g., there exist multiple classes of functional curves in the dataset, traditional estimation methods may fail. In this paper, we propose a new estimation procedure for the Mixture of Gaussian Processes, to incorporate both functional and inhomogeneous properties of the data. Our method can be viewed as a natural extension of high-dimensional norma...

2001
Peter Filzmoser

ABSTRACT We introduce a statistical method for the decomposition of data sets into planes. With the help of principal component analysis or factor analysis the data are presented in a lower-dimensional space. The factors spanning this new co-ordinate system are rotated afterwards in that sense to fulfill the idea of simple structure, extended to two dimensions. The resulting planes which are sp...

Journal: :international journal of advanced design and manufacturing technology 0
raj kumar patel madan mohan malaviya university of technology v. k. giri

induction motor bearing is one of the key parts of the machine and its analysis and interpretation are important for fault detection. in the present work vibration signal has been taken for the classification i.e. bearing is healthy (h) or defective (d). for this purpose, clustering based classification of bearing vibration data has been carried out using principal component analysis (pca) and ...

2009
Gheorghe Craciun Casian Pantea Grzegorz A. Rempala

We present herein an extension of an algebraic statistical method for inferring biochemical reaction networks from experimental data, proposed recently in [3]. This extension allows us to analyze reaction networks that are not necessarily full-dimensional, i.e., the dimension of their stoichiometric space is smaller than the number of species. Specifically, we propose to augment the original al...

Drought stress can play an important role in limiting crop productivity and disturbing different stages of plant growth especially at seed germination in arid and semiarid regions. Breeding for drought tolerance at germination stage can enhance the number of seedlings, resulting in a higher yield of grain in rapeseed. In this research 32 cultivars of rapeseed were evaluated for drought toleranc...

Journal: :Journal of Computational and Graphical Statistics 2003

ارزانـی, احمد, حبیبی, فرشاد , رخزادی , اسعد, سید طباطبایی, بدرالدین ابراهیم, عرب بیگـی, محبوبه , مجیـدی, محمد مهدی,

Aegilops cylindrica species (CCDD, 2n = 4x = 28) is one of the wild relatives of wheat and hence known as a valuable source of genes related to biotic and abiotic stress tolerance. In this study genetic variation of 66 Aegilops cylindrica genotypes collected from west and northwestern of Iran was evaluated using quantitative and qualitative morphological traits. The results indicated that glume...

Journal: :international journal of environmental research 0

internationally recognized golestan forests are among the most endangered features threatened by anthropogenic activities. being located in north-west of iran, south-east of caspian sea, gorganroud watershed is mostly influenced by deforestation activities. in this study the identification of regional atmospheric and hydrologic patterns and their role in conforming floods in gorganroud water ba...

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