Frequentist statistics Samenvattingen, Aantekeningen en Examens

Complete Solutions Manual for Understanding Advanced Statistical Methods, 1st Edition by Peter Westfall, Kevin S. S. Henning ; ISBN13: 9781466512108. (Full Chapters included Chapter 1 to 19)....1.Introduction: Probability, Statistics, and Science 2.Random Variables and Their Probability Distributions 3.Probability Calculation and Simulation 4.Identifying Distributions 5.Conditional Distributions and Independence 6.Marginal Distributions, Joint Distributions, Independence, and Bayes’ Theor...

Summary of lectures, seminars, and workgroups

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures. In addition to the basic concepts of Bayesian inferential methods, the book covers m...

Preface xix About the Companion Website xxxiii 1 Preliminary Considerations 1 1.1 The Philosophical Bases of Knowledge: Rationalistic versus Empiricist Pursuits, 1 1.2 What is a “Model”?, 4 1.3 Social Sciences versus Hard Sciences, 6 1.4 Is Complexity a Good Depiction of Reality? Are Multivariate Methods Useful?, 8 1.5 Causality, 9 1.6 The Nature of Mathematics: Mathematics as a Representation of Concepts, 10 1.7 As a Social Scientist, How Much Mathematics Do You Need to ...

In deze samenvatting vind je alle belangrijke stof uit de Grasple lessen voor het vak Advanced Research Methods & Statistics. Alle stof van week 1 t/m week 5 is behandeld, inclusief ondersteunende illustraties.

This document contains the lecture notes for all lectures of 0HV110, both for part 1 (by Chris Snijders) and part 2 (by Daniël Lakens). The notes are conveniently divided into weeks, and then ordered into the different lectures by the different teachers. Pro-tip: buy my 0HV110 bundle for a discount on the documents!

This document contains an overview of all statistical terms used in the 0HV110 course part 2 (by Daniël Lakens) including their definitions, and some extra explanation. Learning this summary gives a good preparation for the exam. It is ordered by week, and based on the provided video lectures. Furthermore, this document is useful for all students and scientists who want to gain better understanding in statistical concepts. Pro-tip: buy my 0HV110 bundle for a discount on the documents!

[R] Cheatsheet for the Statistics for Data Scientists course of the Premaster Data Science and Entrepreneurship.

Summary for the Statistics for Data Scientists course of the Premaster Data Science and Entrepreneurship.

Data Science Handbook containing the most relevant notions related to point estimation for the "Inferential Statistics" exam. You will be introduced to the notion of an estimator and to its properties in the context of normally distributed data. The text includes the steps, to be followed in R, useful for simulating the various properties of the mean and variance estimators as well as the analytical demonstrations of the mean, variance and standard error of the latter.