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相关概念视频

Decision Making: P-value Method01:09

Decision Making: P-value Method

5.3K
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...
5.3K
Convenience Sampling Method00:55

Convenience Sampling Method

8.7K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.7K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.0K
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...
4.0K
Sampling Methods: Overview01:06

Sampling Methods: Overview

282
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
282
Sampling Continuous Time Signal01:11

Sampling Continuous Time Signal

211
In signal processing, a continuous-time signal can be sampled using an impulse-train sampling technique, followed by the zero-order hold method. Impulse-train sampling involves the use of a periodic impulse train, which consists of a series of delta functions spaced at regular intervals determined by the sampling period. When a continuous-time signal is multiplied by this impulse train, it generates impulses with amplitudes corresponding to the signal's values at the sampling points.
In the...
211
Sampling Plans01:23

Sampling Plans

169
Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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相关实验视频

Updated: Jun 10, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

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通过顺序抽样进行价值构建,解释了决策中的序列依赖性.

Ariel Zylberberg1, Akram Bakkour1,2,3, Daphna Shohamy1,4,5

  • 1Mortimer B Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.

bioRxiv : the preprint server for biology
|October 17, 2024
PubMed
概括

主观价值在决策过程中发生变化. 一个新的算法,Reval,显示这些价值变化比稳定值更好地解释选择和大脑活动,挑战现有模型.

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Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
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Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

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相关实验视频

Last Updated: Jun 10, 2025

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents
07:05

Operant Protocols for Assessing the Cost-benefit Analysis During Reinforced Decision Making by Rodents

Published on: September 10, 2018

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Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model
06:30

Spotlighting Customers' Visual Attention at the Stock, Shelf and Store Levels with the 3S Model

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

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科学领域:

  • 决策神经科学 决策神经科学
  • 认知心理学 认知心理学
  • 神经经济学 神经经济学

背景情况:

  • 决策通常假定稳定的项目值,不一致性归因于随机噪音.
  • 有限证据积累 (BEA) 模型使用暂时不相关的噪音来进行感知决策.
  • 这种假设可能不适用于内部状态波动的基于价值的决策.

研究的目的:

  • 调查主观项目值在决策任务期间是否发生变化.
  • 开发和应用一种新的算法 (Reval) 来检测和量化价值变化.
  • 评估动态值是否改善选择和响应时间的模型.

主要方法:

  • 使用Reval算法重新分析现有的零食选择数据.
  • 将Reval衍生值与明确声明值进行比较.
  • 模拟选择和响应时间,使用动态与静态值假设.
  • 价值变化与大脑活动 (大胆信号) 在中腹前额叶皮层的相关性.

主要成果:

  • 发现主观项目值在短时间的实验会话中发生显著变化.
  • 来自Reval的动态值比静态值更好地解释了选择和响应时间.
  • 动态价值变化也更好地解释了与价值相关的大脑区域的神经活动.
  • 一个修改后的BEA模型包含了非独立的证据样本,支持重新估值的概念.

结论:

  • 主观价值不是静态的,而是在偏好选择过程中动态地重新评估的.
  • 重估是基于价值的决策的关键因素,影响选择和神经表示.
  • 现有的决策模式可能需要纳入动态价值构建以获得更高的准确性.