Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Probability Distributions01:32

Probability Distributions

11.8K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
11.8K
Binomial Probability Distribution01:15

Binomial Probability Distribution

15.3K
A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...
15.3K
Poisson Probability Distribution01:09

Poisson Probability Distribution

11.7K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
11.7K
Probability Laws01:49

Probability Laws

43.9K
Overview
43.9K
DNA Packaging00:58

DNA Packaging

112.1K
Overview
112.1K
Probability in Statistics01:14

Probability in Statistics

22.2K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
22.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Surgical site infection prevention among surgical healthcare workers in Syria: a nationwide cross-sectional study.

Antimicrobial resistance and infection control·2026
Same author

From pulsed disturbance to steady-state mixing: Succession of microbial ecological strategies in the estuarine ecosystem.

Water research·2026
Same author

Tracking progress towards sustainable development goal 3.2 in Somalia using time series models: a comparative forecasting analysis.

Conflict and health·2026
Same author

Individual and community-level determinants of skin-to-skin contact in Somaliland: a multilevel analysis of the 2020 demographic and health survey data.

Frontiers in global women's health·2026
Same author

Forecasting Under-5 Mortality Rate in Somalia to 2030: a comparative analysis of univariate and multivariate ARIMAX models.

Frontiers in public health·2026
Same author

Bayesian multilevel analysis of multimorbidity among women in Somalia: prevalence, patterns, and determinants.

Archives of public health = Archives belges de sante publique·2026

Related Experiment Video

Updated: Jan 20, 2026

Freezing, Thawing, and Packaging Cells for Transport
07:32

Freezing, Thawing, and Packaging Cells for Transport

Published on: July 2, 2008

12.9K

AdequacyModel: An R package for probability distributions and general purpose optimization.

Pedro Rafael D Marinho1, Rodrigo B Silva1, Marcelo Bourguignon2

  • 1Department of Statistics, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.

Plos One
|August 27, 2019
PubMed
Summary
This summary is machine-generated.

The AdequacyModel R library introduces a modified Particle Swarm Optimization (PSO) for complex statistical model fitting. It enhances maximum likelihood estimation for survival data and provides model adequacy measures.

More Related Videos

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.7K
Assessment of Open Probability of the Mitochondrial Permeability Transition Pore in the Setting of Coenzyme Q Excess
07:35

Assessment of Open Probability of the Mitochondrial Permeability Transition Pore in the Setting of Coenzyme Q Excess

Published on: June 1, 2022

2.6K

Related Experiment Videos

Last Updated: Jan 20, 2026

Freezing, Thawing, and Packaging Cells for Transport
07:32

Freezing, Thawing, and Packaging Cells for Transport

Published on: July 2, 2008

12.9K
Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
11:18

Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat

Published on: September 12, 2014

15.7K
Assessment of Open Probability of the Mitochondrial Permeability Transition Pore in the Setting of Coenzyme Q Excess
07:35

Assessment of Open Probability of the Mitochondrial Permeability Transition Pore in the Setting of Coenzyme Q Excess

Published on: June 1, 2022

2.6K

Area of Science:

  • Computational Statistics
  • Statistical Modeling
  • Optimization Techniques

Background:

  • Maximum likelihood estimation for certain lifetime distributions is computationally challenging due to optimization difficulties.
  • Traditional derivative-based optimization methods are often inadequate for these complex search spaces.

Purpose of the Study:

  • To introduce the AdequacyModel computational library (version 2.0.0) for the R statistical environment.
  • To provide a robust optimization technique and statistical measures for assessing model adequacy.
  • To address limitations in fitting survival data using complex lifetime distributions.

Main Methods:

  • Implementation of a modified Particle Swarm Optimization (PSO) algorithm for general optimization.
  • Development of statistical measures to evaluate the adequacy of fitted models.
  • Inclusion of a novel stop criterion based on minimum iterations and variance of optimal values.

Main Results:

  • The AdequacyModel library effectively handles log-likelihood functions in complex search regions.
  • It facilitates the computation of maximum likelihood estimators where other methods fail.
  • The library has been foundational for other R packages like Newdistns, Wrapped, and sglg.

Conclusions:

  • AdequacyModel offers a powerful, flexible tool for statistical inference, particularly for survival data analysis.
  • The modified PSO approach and adequacy measures improve the reliability of model fitting.
  • The library's utility extends beyond statistics to physics and mathematics, demonstrating broad applicability.