Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
APPLIED MULTIVARIATE STATISTICAL ANALYSIS II MAT 521 0 3 + 0 3 6
Ön Koşul Dersleri Students are assumed to be familiar with Analysis I-II and Linear Algebra I-II, Probability, Statistics, and Applied Multivariate Statistical Analysis I
 Dersin Dili Türkçe Dersin Seviyesi Yüksek Lisans Dersin Türü SECMELI Dersin Koordinatörü Prof.Dr. HALİM ÖZDEMİR Dersi Verenler Dersin Yardımcıları Res.Assist. Emre Kişi and Res.Assist. Tuğba Petik Dersin Kategorisi Alanına Uygun Öğretim Dersin Amacı Researchers in biological, physical, and social sciences frequently collect measurements on several variables. Applied Multivariate Statistical Analysis is concerned with statistical methods for describing and analyzing these multivariate data. Data analysis, while interesting with one variable, becomes truly fascinating and challenging when several variables are involved. The purpose of this course is to present the concepts and methods of multivariate analysis at a level that is easily understandable by students who have taken two or more mathematics and statistics courses. Dersin İçeriği Inferences about a mean vector. Comparisons of several multivariate means. Multivariate linear regression models.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - He/she uses matrix algebra. 1 - 2 - 3 - 4 - 14 - A - C - D - 2 - He/she understands the concept of confidential region about the mean vector. 1 - 2 - 3 - 14 - A - C - D - 3 - He/she interprets about the mean vector for large sample. 1 - 2 - 3 - 4 - 6 - 14 - A - C - D - 4 - He/she interprets about the mean vector when some observations are missing. 1 - 2 - 3 - 4 - 6 - 14 - A - C - D - 5 - He/she understands multivariate linear regression models and multivariate multiple linear regression models 1 - 2 - 3 - 4 - 6 - 14 - 15 - A - C - D - 6 - Inferences about a mean vector. Comparisons of several multivariate means. Multivariate linear regression models. 1 - 2 - 3 - 4 - 6 - 14 - 15 - A - C - D -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 3:Discussion 4:Drilland Practice 14:Self Study 6:Motivations to Show 15:Problem Solving Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design
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