2007, Vol 8, No 1 http://hdl.handle.net/123456789/3760 2020-11-28T02:41:21Z 2020-11-28T02:41:21Z On solutions of the difference equation x_{n+1}=(((-1)?x_{n-4})/(1+(-1)?x_{n}x_{n-1}x_{n-2}x_{n-3}x_{n-4})) Karataş, Ramazan http://hdl.handle.net/123456789/3768 2018-04-26T08:32:32Z 2007-01-01T00:00:00Z On solutions of the difference equation x_{n+1}=(((-1)?x_{n-4})/(1+(-1)?x_{n}x_{n-1}x_{n-2}x_{n-3}x_{n-4})) Karataş, Ramazan http://sjam.selcuk.edu.tr/sjam/article/view/183 2007-01-01T00:00:00Z On the recursive sequence x_{n+1}=((x_{n-11})/(1+x_{n-1}x_{n-3}x_{n-5}x_{n-7}x_{n-9})) Şimşek, Dağıstan http://hdl.handle.net/123456789/3767 2018-04-26T08:30:20Z 2007-01-01T00:00:00Z On the recursive sequence x_{n+1}=((x_{n-11})/(1+x_{n-1}x_{n-3}x_{n-5}x_{n-7}x_{n-9})) Şimşek, Dağıstan http://sjam.selcuk.edu.tr/sjam/article/view/180 2007-01-01T00:00:00Z Solution of linear and nonlinear heat equations by differential transform method Ayaz, Fatma Kangalgil, Figen http://hdl.handle.net/123456789/3766 2018-04-26T08:33:49Z 2007-01-08T00:00:00Z Solution of linear and nonlinear heat equations by differential transform method Ayaz, Fatma; Kangalgil, Figen The differential transform method is one of the approximate methods which can be easily applied to many linear and nonlinear problems and is capable of reducing the size of computational work. Exact solutions can also be achieved by the known forms of the series solutions. In this paper, we present the definition and operation of the two-dimensional differential transform and investigate the particular exact solutions of linear and nonlinear heat equations that usually arise in mathematical biology by two-dimensional differential transform method. The results of the present method are compared very well with those obtained by decomposition method. http://sjam.selcuk.edu.tr/sjam/article/view/185 2007-01-08T00:00:00Z A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements İyit, Neslihan Genç, Aşır http://hdl.handle.net/123456789/3765 2018-04-26T08:33:10Z 2007-01-01T00:00:00Z A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements İyit, Neslihan; Genç, Aşır Any dataset in which subjects are measured repeatedly over time or space can be described as repeated measurements data. A linear mixed model (LMM) is a powerful method for analyzing repeated measurements data. It is made up of two components. The first component consists of a regression model for the average response over time and the effects of covariates on this average response. The second component provides a model for the pattern of covariances or correlations between the repeated measurements. In this study, a comparative evaluation of fixed effects models with random intercept models and random intercept and slope models as a special case of random effects models from linear mixed models are taken into consideration and the superiority of random intercept and slope models allow to modeling possible heterogeneity in intercepts and in slopes of the individual's own regression line for repeated measurements data is emphasized. http://sjam.selcuk.edu.tr/sjam/article/view/184 2007-01-01T00:00:00Z