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?

38.2K
Overview
38.2K
Population Growth00:57

Population Growth

28.9K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
28.9K
Estimating Population Mean with Unknown Standard Deviation01:22

Estimating Population Mean with Unknown Standard Deviation

8.9K
In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
William S. Gosset (1876–1937) of the...
8.9K
Censoring Survival Data01:09

Censoring Survival Data

610
Survival analysis is a statistical method used to analyze time-to-event data, often employed in fields such as medicine, engineering, and social sciences. One of the key challenges in survival analysis is dealing with incomplete data, a phenomenon known as "censoring." Censoring occurs when the event of interest (such as death, relapse, or system failure) has not occurred for some individuals by the end of the study period or is otherwise unobservable, and it might have many different...
610
Sample Size Calculation01:19

Sample Size Calculation

6.8K
Knowledge of the sample size is the first requirement to conduct random sampling or an experiment. The sample size is the total number of units, observations, or groups (in some cases) used to get the data to estimate a population parameter. As the name suggests, the sample size is that of the sample drawn from the population and differs from the population size.
The sample size for the given experiment or sampling effort is fundamental to any study design. Sample size decides the number of...
6.8K
Estimating Population Standard Deviation01:26

Estimating Population Standard Deviation

3.4K
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...
3.4K

You might also read

Related Articles

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

Sort by
Same author

Transcriptional changes in Tibetan pig ovaries and spleen during gestation.

Genomics·2025
Same author

Information theory broadens the spectrum of molecular ecology and evolution: (Trends in Ecology and Evolution 32:12, p:948-963, 2017).

Trends in ecology & evolution·2021
Same author

Mortality under early access to antiretroviral therapy vs. Eswatini's national standard of care: the MaxART clustered randomized stepped-wedge trial.

HIV medicine·2020
Same author

Abscess formation in ovarian endometriomas after failure of mifepristone-induced abortion.

Clinical and experimental obstetrics & gynecology·2018
Same author

Information Theory Broadens the Spectrum of Molecular Ecology and Evolution.

Trends in ecology & evolution·2017
Same author

Influence of menopausal status on diagnostic accuracy of myometrial invasion in endometrial cancer: diffusion-weighted and dynamic contrast-enhanced MRI at 3 T.

Clinical radiology·2015

Related Experiment Video

Updated: Feb 27, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.9K

Estimating the population size for capture-recapture data with unequal catchability.

A Chao1

  • 1Institute of Applied Mathematics, National Tsing Hua University, Taiwan, Republic of China.

Biometrics
|December 1, 1987
PubMed
Summary

A new method estimates closed population size and confidence intervals, even with varied capture probabilities. This approach works well for sparse capture data where other methods fail.

More Related Videos

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

8.0K
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

9.8K

Related Experiment Videos

Last Updated: Feb 27, 2026

Quantifying Corticolous Arthropods Using Sticky Traps
05:28

Quantifying Corticolous Arthropods Using Sticky Traps

Published on: January 19, 2020

5.9K
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

8.0K
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

9.8K

Area of Science:

  • Ecology
  • Wildlife Management
  • Statistical Ecology

Background:

  • Estimating population size is crucial for wildlife management and ecological studies.
  • Traditional methods often assume equal capture probability, which is unrealistic.
  • Heterogeneity in capture probability can bias population estimates.

Purpose of the Study:

  • To propose a novel point estimator and confidence interval for closed population size.
  • To account for heterogeneity in capture probability within population estimation models.
  • To provide a robust method for scenarios with limited recaptures.

Main Methods:

  • Development of a new statistical model incorporating capture probability heterogeneity.
  • Application of the proposed estimator to real-world datasets (Edwards and Eberhardt, 1967; Carothers, 1973).
  • Validation through Monte Carlo simulations to assess performance and reliability.

Main Results:

  • The proposed method provides accurate population size estimates and reliable confidence intervals.
  • Demonstrated effectiveness particularly in cases with low recapture rates (individuals caught once or twice).
  • Outperforms traditional methods like the jackknife estimator in sparse capture data scenarios.

Conclusions:

  • The developed method offers a valuable tool for estimating closed population sizes, especially under capture heterogeneity.
  • It provides satisfactory confidence interval performance, maintaining nominal levels.
  • This approach enhances ecological and wildlife management by improving population size estimation accuracy.