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  • Course Information
    • Course Title Code Semester Laboratory+Practice (Hour) Pool Type ECTS
    Multivariate Statistics Methods in Forestry ORM636 FALL 2+2 E 6
    Learning Outcomes
    1-Apply basic knowledge and concepts about multivariate systems in forestry.
    2-Categorizes multivariate data structures.
    3-Analyzes differences in multivariate data structures.
    4-Compares various multivariate analyzes in investigating complex and multidimensional data structures.
    Prerequisites -
    Language of Instruction Turkish
    Responsible Prof. Dr. İlker ERCANLI
    Instructors -
    Assistants Res. Assist. Dr. Ferhat BOLAT
    Resources R1. SPSS Institute Inc., 2009. SPSS Base 15.0 User`s Guide, 388 p. R2. Leech, N. L., Barrett, K. C. ve Morgan, G. A., 2005. SPSS for Intermediate Statistics, Lawrence Erlbaum Publishers, 255 p. R3. Ercan, E., Bek, E., Şahin, Y., 2000. SPSS`te çözümleri ile İstatistik Yöntemler 2, Kahramanmaraş Sütçü İmam Üniversitesi, Yayın No. 10, 214 s. R4. Özdamar, K., 2002. Paket Program ile İstatistiksel veri Analizi 2, Kaan Kitabevi, 513s.
    Supplementary Book -
    Goals Teach the multivariate statistical methods used for investigating complex and multi-variable systems assembling many ecological attributes in forestry
    Content Introduction to Multivariate Statistical methods and its usage in forestry, Summarizing and classifying of multivariate data a statistical package program, Cluster analysis for classifying data with a statistical package program, Discriminate analysis with a statistical package program, Factor analysis with a statistical package program, Two and multi-way analysis of variance with a statistical package program, The variance component analysis with a statistical package program, Variance analysis in repeated measures with a statistical package program, Covariance analysis with a statistical package program, Reliability analysis with a statistical package program, Partial correlation analysis with a statistical package program
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