Bu çalışmada yumurtacı tavuklarda yumurta verim eğrilerinin modellenmesinde kullanılan bazı modeller karşılaştırmalı olarak incelenmiştir. Bu amaçla Nick Brown ve Leghorn ırkı tavukların 18. haftadan 59. haftaya kadar olan haftalık yumurta verimleri kullanılmıştır. Modelleme çalışmasında yaygın olarak kullanılan iki farklı kubik parçalı regresyon (iki ve üç boğumlu), lojistik, MMF, gamma, McNally, modifiye compartmental ve kuadratik parçalı regresyon modelleri ele alınmıştır. Modellerin karşılaştırılmasında ise hata kareler ortalamaları, belirleme katsayısı, düzeltilmiş belirleme katsayısı, akaike bilgi kriteri ve durbin-watson otokorelasyon değerleri kullanılmıştır. Çalışma sonucunda her iki ırktada en iyi sonuçlar modifiye compartmental modelinden elde edilmiştir (Nick Brown; HKO=0.000007, R2=0.9999, R ̅^2=0.9998, AIC=-392.966, DW=1.345: Leghorn; HKO=0.0001, R2=0.9998, R ̅^2=0.9997, AIC=-373.225, DW=1.845). Kuadratik parçalı regresyonun ise incelenen modeller içerisinde en kötü sonuçlara sahip olduğu belirlenmiştir (Nick Brown; HKO=0.0007, R2=0.9486, R ̅^2=0.9412 AIC=-298.257, DW=2.341: Leghorn; HKO=0.0002, R2=0.9787, R ̅^2=0.9776, AIC=-340.824, DW=2.171).

In this study, the distributions of egg count (daily and cumulative), width, length and weight values of chukar partridges obtained in two different egg production seasons were statistically modeled. For this purpose, in modeling cumulative egg production curves; Logistic, Gompertz, Gamma, Schunute, Brody, Richard, Negative Exponential, Von Bertalanffy, Cubic Piecewise and Cubic models were used, and in evaluating daily egg production curves; Gompertz, Logistic, Richard, McNally, Gamma, Cubic Piecewise, Quadratic, Quadratic Piecewise and Modified Compartmental models were used. In modeling egg width values; Gompertz, Gamma, Cubic Piecewise and Cubic models were used, in modeling length values; Logistic, Gamma, Cubic Piecewise and Cubic models were used, and in modeling weight values; McNally, Gamma, Cubic Piecewise and Cubic models were used. In all modeling studies, as comparison and evaluation criteria; Error Mean Square, Corrected Coefficient of Determination, Accuracy Factor, Bias Factor, Durbin-Watson, Akaike Information Criterion, Corrected Akaike Information Criterion and Bayesian Information Criterion were taken into consideration. As a result of the study; Gamma was determined as the most suitable model for modeling cumulative egg yields and length values, McNally for modeling daily egg yields and weight values, and Gompertz and Gamma models for modeling egg width values.

This thesis study examined the statistical models and evaluation criteria used in poultry breeding, account considering live weight gain, egg weight and egg numbers. For this purpose, as an example of live weight increase; 9-week live weight gains of Ross-308 broiler line, as an example of egg weight; the average of 20-week egg weights of brown Lohmann laying hens and 9-week egg yields of Japanese quail were used as an example of the number of eggs. In modeling, for live weight gain; 10 different models for egg production; 11 different models and 8 different models for egg weight were considered. In evaluating the models; error mean squares, coefficient of determination, corrected coefficient of determination, Akaike Information Criterion, Corrected Akaike Information Criterion, Bayesian Information Criterion, Accuracy Factor, Bias Factor and Durbin-Watson autocorrelation values were taken into consideration. As a result of the study, in terms of live weight gain; The Cubic Piecewise regression model is the best in terms of egg yields; It was determined that the Modified Compartmental model and the Logistic model gave better results than the others in terms of egg weight. The worst models are in live weight gains; Brody and egg yields; It was concluded that there was a Quadratic Linear and Von Bertalanffy model for egg weight.

The aim of this study is to estimate the albumen index value that is one of the interior egg quality traits using the Least Squares (LS), Ridge Regression (RR) and Principal Components Regression (PCR) methods. For this reason, eggs were collected from 20 to 24 weeks of age, non-selected and random-mated Japanese quails. In this study, we investigated the characteristics of egg external quality such as egg width (X1), egg length (X2), Haugh unit (X3), and shape index (X4). The impact of these variables on albumen index was analyzed. Due to the multicollinearity between independent variables, the standard errors and VIF values of the partial regression coefficients in the LS method were found to be quite high. Therefore, the RR and PCR methods were used as an alternative to LS. Compared with LS, PCR and RR led to small standard deviations and more accurate and more reliable partial regression coefficients. As a result, it was concluded that the use of RR and PCR analysis methods could be more accurate instead of the LS method under multicollinearity problem.

In this study, starting with the researches method and studies, which scale used and in accordance with this scale, which data statistical relationship measures to be applicated were given. In accordance with this aim, 18 tests were taken into consideration which consisted of statistical relationship measures tests. Also, data sets which were taken from2148 students from three different high schools in Kahramanmaraş were examined practically on statistical relationship measures. With the aim of this, knowledge that were taken from the students from Science High School and Vocational High School were used. In the study, the effects of the factors like gender, education status of the father, private room status, number of siblings, computer status, living place,taking private lesson status, age of the student, body weight of the student and the income of the family on the effect of high school type were evaluated with the statistical relationship measures. Parametric test were applied to the data sets which are intermittent scale or proportional scale. And non parametric testa were applied to the data sets which are classifier scale or sequential scale. As a result, in the thesis study, the effect of factors that were thought to effect the student’s high school type, effect degree and direction were tried to be determined with the relationship measures test.