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Articles by Levent Sangun
Total Records ( 2 ) for Levent Sangun
  Levent Sangun , Soner Cankaya and Onder Duysak
  In this study, canonical correlation analysis was applied to estimate relationships between length characters mantle length (cm), upper hood length (cm), lower hood length (cm), cuttle bone line zone length (cm), cuttle bone free zone length (cm) and weights characters body weight (g), stomach weight (g), stomach wall weight (g), digestive gland weight (g) of 697 cuttlefish (Sepia officinalis) populations caught from Iskenderun bay from 2006-2007, Eastern Mediterranean region, Turkey. The first 3 of the estimated canonical correlation coefficients between the pairs of canonical variables were found significant (0.949, 0.358, 0.294 and p<0.01). The results obtained from canonical correlation analysis indicated that mantle length had largest contribution for the explanatory capacity of canonical variables estimated from length characters of 697 cuttlefish (Sepia officinalis) when compared with other length characters while body weight had largest contribution for the explanatory capacity of canonical variables estimated from weight characters when compared with other weight characters. The results of this study showed that mantle lenght should be used with the aim of estimating weight per Sepia officinalis individuals in common cuttlefish genotypes.
  Levent Sangun , Soner Cankaya , Gokhan Gokce and Hulya Atil
  In fisheries science, by means of linear regression models, length-weight relationships are often estimated to determine weight and biomass when only length measurements are taken from fish. Least Squares method (LS) is commonly used to determinate the relationship between weight and length for fish, when the error term, ei, is assumed to be normally distributed. If it can be observed to degenerate the structure of data in the y-direction, LS method is not completely perform to estimate the regression parameters. And than LS method explains minimum levels to the total variation of the model. In this situation, one of the linear regression methods often recommended as robust or outlier-resistant alternatives to LS is Least Absolute Deviation (LAD). The aim of this study is to investigate for comparing the least squares method and the LAD method by means of drawing conclusions and to determine the model which is optimal for displaying the relationship between length and weight for Ephinephelus aeneus in the presence of outliers. Mean square error and R2 are used to evaluate estimator performance.
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