Por un conjunto no numerable de razones naturales, racionales, irracionales, reales, imaginarios, complejos, …, ¡¡¡¡y cuantos conjuntos no numerables de razones existan!!!!:A mis padres. x xi xiv 2.1.2.2. Estimación de las correlaciones fenotípicas y genéticas de los caracteres de coagulación y rendimiento quesero con los caracteres de leche. _________________________________________ 2.1.2.3. Selección Indirecta. ___________________________________________________________ 2.1.2.4. La respuesta genética directa a la selección en hembras y machos de Assaf. _____________ 2.1.2.5. La respuesta correlacionada a la selección a través de un proxi y su eficiencia de selección relativa. ___________________________________________________________________________ 2.1.2.6. Índice de selección y sus respuesta correlacionada y eficiencia relativa. _________________ 2.1.2.7. Balanceando la respuesta a la selección para los caracteres de coagulación, rendimiento quesero y producción de leche. ________________________________________________________ 2.2. Análisis con datos simulados. _________________________________________________ 2.2.1. Estudio de simulación 1. ___________________________________________________________ 2.2.2. Estudio de simulación 2. ___________________________________________________________ 2.2.3. Estudio de simulación 3. ___________________________________________________________ Resultados y Discusión. _________________________________________ Chapter 1. Accuracy of pedigree and genomic predictions of a small genotyped Spanish National Population of Churra Sheep Breed.
This research aims to analyze and implement a distribution model obtained from grade result data of students of Mathematic Education Program so as to present the most useful information while their achievements are one factor of education quality control. For these reasons, this research investigates students' achievement. The data are gained from their results of final semester exams on several subjects for the past three years. The analysis is conducted by clustering the subjects completed by the students. One of continual distribution used is Weibull distribution. The distribution attained is estimated by the Maximum Likelihood Estimation (MLE) method using Newton Raphson iteration. This research is supposed to deepen the statistical concept and numerical method particularly Weibull distribution using Maximum Likelihood Estimation along with Newton Raphson iteration and their application as well as to provide the Study program of Mathematic Education with problem solving alternatives and information to enhance learning quality in order to control the progress of students' achievement on subjects learned and motivate them. (learning subjects).
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