Introduction to the Concept of Likelihood and Its Applications

33Citations
Citations of this article
330Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This Tutorial explains the statistical concept known as likelihood and discusses how it underlies common frequentist and Bayesian statistical methods. The article is suitable for researchers interested in understanding the basis of their statistical tools and is also intended as a resource for teachers to use in their classrooms to introduce the topic to students at a conceptual level.

References Powered by Scopus

Tutorial on maximum likelihood estimation

1264Citations
N/AReaders
Get full text

Chapter 13 Wald, likelihood ratio, and Lagrange multiplier tests in econometrics

464Citations
N/AReaders
Get full text

On the Foundations of Statistical Inference

395Citations
N/AReaders
Get full text

Cited by Powered by Scopus

The JASP guidelines for conducting and reporting a Bayesian analysis

602Citations
N/AReaders
Get full text

Bayesian statistics and modelling

538Citations
N/AReaders
Get full text

An Introduction to Linear Mixed-Effects Modeling in R

297Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Etz, A. (2018). Introduction to the Concept of Likelihood and Its Applications. Advances in Methods and Practices in Psychological Science, 1(1), 60–69. https://doi.org/10.1177/2515245917744314

Readers over time

‘17‘18‘19‘20‘21‘22‘23‘24‘250255075100

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 142

69%

Researcher 37

18%

Professor / Associate Prof. 23

11%

Lecturer / Post doc 5

2%

Readers' Discipline

Tooltip

Psychology 78

56%

Engineering 25

18%

Computer Science 21

15%

Agricultural and Biological Sciences 16

11%

Article Metrics

Tooltip
Mentions
References: 1

Save time finding and organizing research with Mendeley

Sign up for free
0