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

What are Populations and Communities?00:30

What are Populations and Communities?

33.9K
Overview
33.9K
Chi-square Analysis02:46

Chi-square Analysis

38.3K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.3K
Chi-square Distribution01:10

Chi-square Distribution

3.7K
How does one determine if bingo numbers are evenly distributed or if some numbers occurred with a greater frequency? Or if the types of movies people preferred were different across different age groups or if a coffee machine dispensed approximately the same amount of coffee each time. These questions can be addressed by conducting a hypothesis test. One distribution that can be used to find answers to such questions is known as the chi-square distribution. The chi-square distribution has...
3.7K
Distributions to Estimate Population Parameter01:26

Distributions to Estimate Population Parameter

4.1K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.1K
Cochran's Q Test01:17

Cochran's Q Test

362
Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
362
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.0K
When the population standard deviation is unknown and the sample size is large, the sample standard deviation s is commonly used as a point estimate of σ. However, it can sometimes under or overestimate the population standard deviation. To overcome this drawback, confidence intervals are determined to estimate population parameters and eliminate any calculation bias accurately. However, this only applies to random samples from normally distributed populations. Knowing the sample mean and...
3.0K

You might also read

Related Articles

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

Sort by
Same author

Structural and mechanistic insights into the VP14460-VP14465 effector-immunity module of the Vibrio parahaemolyticus type VI secretion system.

The Journal of biological chemistry·2026
Same author

Functional fluorescent material fabricated with cellulose derivative regenerated in a carbon disulfide based complex solvent.

International journal of biological macromolecules·2026
Same author

Association between Live Dietary Microbes and Root Caries: A Cross-Sectional Study with a Predictive Risk Model.

Oral health & preventive dentistry·2026
Same author

Emerging nano-immunotherapeutic strategies achieve metastatic colorectal cancer precision therapy.

Journal of nanobiotechnology·2026
Same author

Homogeneous synthesis of cellulose acetoacetate by Michael addition in a CO<sub>2</sub> switchable solvent for visible detection of Fe<sup>3+</sup> ion.

International journal of biological macromolecules·2025
Same author

Preoperative pembrolizumab (anti-PD-1 antibody) combined with chemoradiotherapy for esophageal squamous cell carcinoma: a phase 1/2 trial (PALACE-2).

Signal transduction and targeted therapy·2025
Same journal

Invaders taking over-Mollusc faunal change in volcanic barrier lakes of the Albertine Rift biodiversity hotspot.

PloS one·2026
Same journal

AI-driven molecular diversification and ligand-based optimization of macitentan derivatives targeting VEGFR1 and endothelin signaling pathways.

PloS one·2026
Same journal

Performance patterns and records in the world aquatics masters championships: Where do the most frequently represented nations among the top-ten masters swimmers come from?

PloS one·2026
Same journal

Modeling diurnal Temperature-Rainfall relationships under multicollinearity using PLS-SEM: A case study of Ghana.

PloS one·2026
Same journal

Organizational culture, social capital, and emergency capacity in primary healthcare institutions: A cross-sectional structural equation modeling study comparing ordinary and older communities.

PloS one·2026
Same journal

Impact of kidney function on the metabolome in the general population.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jul 13, 2025

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K

Minimum chi-square method for estimating population size in capture-recapture experiments.

Yuyan Zheng1, Yongfei Mao1, Min Tsao1

  • 1Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada.

Plos One
|October 12, 2023
PubMed
Summary
This summary is machine-generated.

Estimating population size with capture-recapture methods is challenging with varying capture probabilities. The new minimum chi-square method offers a robust alternative for closed populations, providing confidence intervals and goodness-of-fit assessments.

More Related Videos

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.2K
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.3K

Related Experiment Videos

Last Updated: Jul 13, 2025

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems
07:41

Modeling the Size Spectrum for Macroinvertebrates and Fishes in Stream Ecosystems

Published on: July 30, 2019

7.5K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.2K
Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools
09:32

Development of New Methods for Quantifying Fish Density Using Underwater Stereo-video Tools

Published on: November 20, 2017

9.3K

Area of Science:

  • Ecology
  • Population Biology
  • Statistical Ecology

Background:

  • Estimating population size in closed populations is complex, especially when individual capture probabilities vary.
  • Existing capture-recapture methods often struggle with heterogeneous capture probabilities, limiting their accuracy.
  • Multi-occasion capture-recapture data presents unique analytical challenges.

Purpose of the Study:

  • To introduce and evaluate the minimum chi-square method for closed population size estimation using multi-occasion capture-recapture data.
  • To compare the performance of the minimum chi-square method against traditional likelihood-based methods under heterogeneous capture probabilities.
  • To develop and assess bootstrap techniques for robust inference in population size estimation.

Main Methods:

  • Development of the minimum chi-square method for multi-occasion capture-recapture data analysis.
  • Application of bootstrap techniques to enhance confidence interval estimation and goodness-of-fit assessment.
  • Simulation studies to evaluate method performance under various scenarios of capture heterogeneity.
  • Analysis of real-world white stork capture-recapture data.

Main Results:

  • The minimum chi-square method effectively handles multi-occasion capture-recapture data with heterogeneous capture probabilities.
  • Bootstrap techniques provide reliable confidence intervals and aid in assessing model fit.
  • In simulation studies, the minimum chi-square method demonstrated superior performance compared to likelihood methods under specific conditions.
  • The method was successfully applied to analyze white stork population data.

Conclusions:

  • The minimum chi-square method is a valuable addition to the toolkit for closed population size estimation, particularly when capture probabilities are heterogeneous.
  • It offers advantages over likelihood methods in terms of confidence interval construction and goodness-of-fit evaluation.
  • The developed bootstrap methods enhance the utility of both minimum chi-square and likelihood estimators for population size inference.