Use of Principal Component Analysis with Instrumental Variables (PCAIV) to analyse fisheries catch data

Pech, Nicolas; Laloë, Francis
February 1997
ICES Journal of Marine Science / Journal du Conseil;Feb1997, Vol. 54 Issue 1, p32
Academic Journal
Principal Component Analysis with respect to Instrumental Variables (PCAIV) is a statistical tool for exploratory analysis combining both principal component analysis and multivariate regression analysis. This tool is used to analyse mean fortnightly catches obtained by Senegalese fishermen in two ports from 1975 to 1991. The aim of the study is to identify significant sources of variation and to present separately the impact of each of them. These descriptions are used to characterize the initial data.


Related Articles

  • On the Implementation of the Principal Component Analysis-Based Approach in Measuring Process Capability. Perakis, M.; Xekalaki, E. // Quality & Reliability Engineering International;Jun2012, Vol. 28 Issue 4, p467 

    The use of principal component analysis in measuring the capability of a multivariate process is an issue initially considered by Wang and Chen (1998). In this article, we extend their initial idea by proposing new indices that can be used in situations where the specification limits of the...

  • Regional Analysis of Low Flow in Karkheh and Karoon Watersheds. Zarrin, H.; Sharifi, F.; Vafakhah, M.; Mahdian, M. H. // Journal of Applied Sciences;2009, Vol. 9 Issue 6, p1141 

    In this research, to evaluating of low flow from data of 28 hygrometry stations of Karkheh and Karoon basin, were analyzed and then flow duration curve was drew and discharge of parameters includes Q75%, Q90%, Q92%, Q95% and Q99% were calculated. Toward nomination of effective factors on low...

  • Fishing Reports.  // Malakoff News (TX);6/24/2016, Vol. 107 Issue 26, p2B 

    The article presents the fishing results across Texas, including Athens, Fairfield, and Cedar Creek.

  • Estimation and monitoring of product aesthetics: application to manufacturing of “engineered stone” countertops. J. Liu; MacGregor, John // Machine Vision & Applications;Feb2006, Vol. 16 Issue 6, p374 

    A new machine vision approach for quantitatively estimating and monitoring the appearance and aesthetics of manufactured products is presented. The approach is composed of three steps: (1) wavelet-based textural feature extraction from product images, (2) estimation of measures of the product...

  • Phenological Partitioning among Drifting Insect Genera within Families in a Subtropical, Coastal Plain Stream (Louisiana, USA).  // Journal of Freshwater Ecology;Dec2010, Vol. 25 Issue 4, p607 

    No abstract available.

  • A Multiplatform Look at Multivariate Analysis. Wass, John A. // Scientific Computing;Nov2009, Vol. 26 Issue 6, p25a 

    The article focuses on the significance of multivariate statistical analysis for computing compound variables. It cites several procedures of multivariate statistics which include the multiple analysis of variance (MANOVA), discriminant analysis (DA), and principal components analysis (PCA). It...

  • Multivariate Analysis of Some Economic Characters in Flax. Kandil, A. A.; Shareif, A. E.; Abo-Zaied, T. A.; Moussa, A. G. T. // Pakistan Journal of Biological Sciences;1/15/2012, Vol. 15 Issue 2, p85 

    Twenty-one parent flax genotypes and twenty F1 hybrids using principal components analysis based on 16 quantitative charismas were used to study the genetic relationship. Analysis of variance exposed high significant differences for all studied charismas among genotypes. High Genotypic...

  • MetATT: a web-based metabolomics tool for analyzing time-series and two-factor datasets. Xia, Jianguo; Sinelnikov, Igor V.; Wishart, David S. // Bioinformatics;Sep2011, Vol. 27 Issue 17, p2455 

    Summary: Time-series and multifactor studies have become increasingly common in metabolomic studies. Common tasks for analyzing data from these relatively complex experiments include identification of major variations associated with each experimental factor, comparison of temporal profiles...

  • Assessment of Surface Water Quality in the Atikhisar Reservoir and Sarıçay Creek (Çanakkale, Turkey). AKBULUT, Mehmet; KAYA, Hasan; ÇELİk, Ekrem Şanver; ODABAŞI, Deniz Anıl; ODABAŞI, Serpil SAĞIR; SELVİ, Kahraman // Ekoloji Dergisi;2010, Vol. 19 Issue 74, p139 

    This study was carried out to evaluate the surface water quality of the Atikhisar Reservoir and Sarıçay Creek. Multivariate statistical techniques such as cluster analysis (CA), principal component analysis (PCA), multidimensional Scaling (MDS), and univariate statistical techniques such...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics