在简化边际价值定理下购买杂货 预测
Tabea Schlender1, Alex Rieger1, Frank Eggert2
1Institute of Psychology, Faculty of Life Sciences / Fakultät für Lebenswissenschaften, Technische Universität Braunschweig, Braunschweig, Germany.
Human nature (Hawthorne, N.Y.)
|January 17, 2025
概括
这项研究表明,边际价值定理 (MVT) 可以模拟人类超市购物行为. 最佳食理论成功地预测了购物者如何在资源丰富的环境中平衡时间和收益.
科学领域:
- 行为经济学是一种行为经济学.
- 生态生态学 生态生态学
- 心理学 心理学 心理学
背景情况:
- 最佳食理论 (OFT) 解释了动物如何食食物以最大限度地增加能量摄入.
- 边际价值定理 (MVT) 是OFT的一个关键组成部分,模拟关于离开资源补丁的决策.
- 超市作为资源密集的环境,为测试人类食行为提供了一个独特的环境.
研究的目的:
- 调查超市是否在边际价值定理 (MVT) 的框架内充当"补丁".
- 为了确定资源密集的超市环境中人类的食物采集是否可以使用MVP原则来建模.
- 在超市中量化建模购物时间和货币收益之间的关系.
主要方法:
- 利用边际价值定理 (MVT) 建模了补丁停留时间和收益之间的关系.
- 收集了来自德国超市61名参与者的购物旅行和上下文变量数据.
- 采用非线性直角距离回归来适应指数增长模型,以补丁居住时间和获取数据.
主要成果:
- 该研究总体上发现了与基于MVP的模型相一致的关系.
- 一个指数函数有效地模拟了购物时间和货币收益之间的权衡.
- 在估计上方异常值时存在一些不确定性,原因是购物时间长的数据有限.
结论:
- 边际价值定理 (MVT) 为理解超市中人类购物行为提供了一个可行的框架.
- 最佳食理论原则可以成功地应用于资源丰富环境中的消费者决策模型.
- 参与者的口头报告足以将基于MVT的模型应用于人类寻行为.
相关概念视频
Predicting Products: Substitution vs. Elimination
11.4K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
The following factors can influence the mechanisms competing against each other:
11.4K
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...
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
Expected Value
3.8K
The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
3.8K
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model
38
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
38
Clearance Models: Noncompartmental Models
37
Clearance is a pharmacokinetic parameter traditionally defined by compartment models, signifying the rate at which a drug is expelled from the body. However, a noncompartmental model offers an alternative method for assessing clearance, primarily employing empirical data obtained after administering a single drug dose.
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
37
Column Efficiency: Rate Theory
268
The rate theory of chromatography provides quantitative insight into the shapes and widths of elution bands. These bands are based on the random-walk mechanism governing molecular migration within a column. The Gaussian profile of chromatographic bands arises from the cumulative effect of random molecular motions as they progress through the column.
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
268


