Jove
Visualize
Contact Us

Related Concept Videos

What are Estimates?01:06

What are Estimates?

7.7K
It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
The estimate for the mean of a sample is denoted by ͞x, whereas the mean of the population is designated as μ. Further, parameters such...
7.7K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

6.7K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
6.7K

You might also read

Related Articles

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

Sort by
Same author

Transfer systems and covariance under assortative mating.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Ancestral covariance and the Bulmer effect.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
Same author

Evaluation of the impact of breast cancer screening in South Australia.

Internal medicine journal·2009
Same author

Misclassification, correlation, and cause of death studies.

Human biology·2002
Same author

A prospective randomized trial evaluating the haemodynamic role of incompetent calf perforating veins.

The Australian and New Zealand journal of surgery·1999
Same author

Are causes of death predictable?

Human biology·1998
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 Experiment Video

Updated: May 6, 2026

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings
14:40

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Published on: October 25, 2015

8.3K

Internal estimation and controlled selection with applications to sheep.

G M Tallis1, P Leppard

  • 1Department of Statistics, The University of Adelaide, Box 498 GPO, 5001, Adelaide, South Australia.

TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
|November 15, 2013
PubMed
Summary
This summary is machine-generated.

This study explores economic weights and their link to economic values in populations. It introduces efficient methods for controlled selection and internal parameter estimation, reducing reliance on external genetic data.

More Related Videos

In Vivo Real-Time Study of Drug Effects on Carotid Blood Flow in the Ovine Fetus
11:59

In Vivo Real-Time Study of Drug Effects on Carotid Blood Flow in the Ovine Fetus

Published on: April 28, 2023

780
Noninvasive, In-pen Approach Test for Laboratory-housed Pigs
06:30

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Published on: June 5, 2019

10.5K

Related Experiment Videos

Last Updated: May 6, 2026

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings
14:40

Instrumentation of Near-term Fetal Sheep for Multivariate Chronic Non-anesthetized Recordings

Published on: October 25, 2015

8.3K
In Vivo Real-Time Study of Drug Effects on Carotid Blood Flow in the Ovine Fetus
11:59

In Vivo Real-Time Study of Drug Effects on Carotid Blood Flow in the Ovine Fetus

Published on: April 28, 2023

780
Noninvasive, In-pen Approach Test for Laboratory-housed Pigs
06:30

Noninvasive, In-pen Approach Test for Laboratory-housed Pigs

Published on: June 5, 2019

10.5K

Area of Science:

  • Quantitative genetics
  • Animal breeding
  • Statistical genetics

Background:

  • Economic weights (a i) are crucial for defining breeding objectives.
  • Understanding the relationship between economic weights and economic values is essential for effective selection.
  • Current methods may rely on external genetic parameter estimates, which can be limiting.

Purpose of the Study:

  • To examine the relationship between economic weights and a general economic value surface.
  • To develop simple mechanisms for controlled selection based on this relationship.
  • To propose an efficient internal parameter estimation system for selection programs.

Main Methods:

  • Analysis of the relationship between economic weights and economic value surfaces.
  • Development of theoretical frameworks for controlled selection.
  • Implementation strategies for internal parameter estimation.

Main Results:

  • Economic weights can vary across populations and depend on mean character vectors.
  • The proposed methods provide simple mechanisms for controlled selection.
  • Internal parameter estimation allows efficient implementation, even in small populations.

Conclusions:

  • The study establishes a link between economic weights and economic values, enabling better selection strategies.
  • Internal parameter estimation offers an efficient and independent approach to parameter estimation in selection programs.
  • This work facilitates more robust and self-sufficient breeding programs.