Τμήμα Μαθηματικών και Εφαρμοσμένων Μαθηματικών, Πανεπιστήμιο Κρήτης, 2021-22
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Εφαρμοσμένη Στατιστική
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Εφαρμοσμένη Στατιστική
14 March - 20 March
Lecture 7 - MLE estimation
Lecture 7 - MLE estimation
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https://polyhedron.math.uoc.gr/2122/moodle/pluginfile.php/14637/mod_lesson/intro/Lecture_7_MLE.pdf
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◄ Code for the recitation on Friday
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Announcements
Recitation #1 : Expectation
Lecture 3: Continuous r.v.s, CDF, Quantile
Lecture 4: Normal Distribution
Lecture 5 - CLT & Estimation Intro
Lecture 6 - Special Distributions
Code for special distributions and the CLT
Code for the recitation on Friday
Lecture 8 - Sampling Distributions of Estimators (pt1)
Choice: Midterm Participation
Lecture 9 - Sampling Distributions of Estimators (pt2)
Recitation #4: Bootstrap confidence intervals
Lecture 10 - Bootstrapping
Additional Readings on Bootstrapping
Practice Exercises for midterm
Material for midterm (table of contents)
data for recitation 5
Recitation 5
Lecture 12 - hypothesis testing
Lecture 13 - Tests for categorical data
Article discussed in class today
Questions we discussed in class today
Lecture 14 - Multiple Hypothesis Testing
Fund data set for recitation #6
Code for Recitation #6
Study material for multiple hypothesis testing.
Lecture 15 - Least squares
Reading material for linear regression
Lecture 16 - Inference for linear regression
Linear Regression Rectitation
Programming Assignment
Reading material for simple and multiple linear regression
Recitation - Multiple Linear Regression
Lecture 18 - ANOVA
Data for logistic regression -email
Data for logistic regression - Donner party
Code for logistic regression
Preparatory exercises for the finals
Next activity
Lecture 8 - Sampling Distributions of Estimators (pt1) ►
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