Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Decision Making: P-value Method

Decision Making: P-value Method

The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can have a...

Decision Making: Traditional Method

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

Decision Making

Decision Making

Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...

Uncertainty: Overview

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.

Propagation of Uncertainty from Systematic Error

Propagation of Uncertainty from Systematic Error

The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...

Propagation of Uncertainty from Random Error

Propagation of Uncertainty from Random Error

An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...

You might also read

Related Articles

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

Sort by

Same author

Differences in Salinity Performance Curves between Two Closely Related <i>Poecilia</i> Species: Implications for Species Turnover along a Salinity Gradient.

Ecological and evolutionary physiology·2026

Same author

Olfactory learning in two Amblypygi species Paraphrynus laevifrons and Phrynus pseudoparvulus.

Animal cognition·2026

Same author

Null models confirm nest site fidelity by male smallmouth bass, Micropterus dolomieu.

BMC zoology·2024

Same author

Investigating boundary-geometry use by whip spiders (Phrynus marginemaculatus) during goal-directed navigation.

Learning & behavior·2023

Same author

Comparative biology of spatial navigation in three arachnid orders (Amblypygi, Araneae, and Scorpiones).

Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology·2023

Same author

Exploring Higher-Order Conceptual Learning in an Arthropod with a Large Multisensory Processing Center.

Insects·2022

Search research articles

Related Experiment Video

Updated: Jul 10, 2026

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

Mate choice and uncertainty in the decision process.

Daniel D Wiegmann¹, Lisa M Angeloni

¹Department of Biological Sciences and J. P. Scott Center for Neuroscience, Mind and Behavior, Bowling Green State University, Bowling Green, OH 43403, USA. ddwiegm@bgnet.bgsu.edu

Journal of Theoretical Biology

|October 19, 2007

Summary

Female mate choice models are updated to include uncertainty from unobserved male traits. Search strategy solutions remain robust, but depend on the association between observed and unobserved male characteristics.

More Related Videos

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

Related Experiment Videos

Last Updated: Jul 10, 2026

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

Published on: September 16, 2015

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

Area of Science:

Evolutionary Biology
Behavioral Ecology
Mathematical Modeling

Background:

Mate choice models often assume perfect information about male quality.
Uncertainty in mate choice decisions arises from unobserved male attributes influencing fitness.
Previous models did not fully account for imperfect information in mate selection.

Purpose of the Study:

To derive general solutions for sequential and fixed sample search strategies under mate choice uncertainty.
To analyze the impact of observed and unobserved male attributes on female search behavior.
To determine how parameter changes affect generalized search model solutions.

Main Methods:

Developed generalized solutions for sequential and fixed sample search strategies.
Incorporated both observed and unobserved male attributes into fitness consequence calculations.
Analyzed the influence of attribute distributions on search strategy performance.

Main Results:

Uncertainty from unobserved male attributes does not affect generalized model solutions.
Standard search model results hold even with imperfectly informative male traits.
Solutions are sensitive to changes in the distribution of unobserved attributes impacting fitness returns.

Conclusions:

Generalized search models provide robust solutions despite mate choice uncertainty.
The reliability of observed traits as predictors of male quality is crucial.
The association between observed and unobserved male characters critically influences model properties like the reservation property.