Estimation and Hypothesis Testing (8 ECTS)

    Course Code: 
    6012
    Semester: 
    3rd
    Διδάσκων: 

    PSARAKIS STYLIANOS

    Point estimation, properties of point estimators (consistency, unbiasdness, efficiency, sufficiency), point estimation methods (moment method, least squares, maximum likelihood). Sampling and sampling distributions. Confidence intervals for means, rates, variances and their differences in the case of normal and non normal populations.

    Hypothesis testing, statistical hypotheses, hypothesis testing for parameters such as mean values, variations, comparing parameters in two different samples, statistical significance level, p-value, power of a test, sample size calculation.

    Recommended Reading

    • Αγγελής Β., Δημάκη Α., Στατιστική Τόμος Α, Εκδόσεις “σοφία”, 2012.
    • Δαμιανού Χ., Κούτρας Μ., Εισαγωγή στη Στατιστική ΜΕΡΟΣ Ι, Εκδόσεις Τσιότρας, 2021.
    • Πανάρετου Ι, Ξεκαλάκη Ε. Εισαγωγή στη Στατιστική Σκέψη Τόμος ΙΙ. Εκδόσεις Μπένου 2000
    • Newbold, P., Carlson, W. and Thorne, B. 'Statistics for Business and Economics'. 7th edition Prentice-Hall 2009
    • Freund, J. ‘Mathematical Statistics with applications’. Pearson 2013
    • Walpole, R., Myers, R. and Myers, S. ‘Probability and Statistics’. 9th Edition Pearson 2016

    (prerequisite for 6023 - Linear Models)