Related Experiment Video
Updated: Oct 22, 2025
06:54
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
Published on: June 21, 2019
6.1K
How to Measure a Two-Sided Market.
1School of Management Science, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China .
Entropy (Basel, Switzerland)
|August 27, 2021
Summary
This study introduces Market Structure Entropy (MSE) to analyze online-to-offline (O2O) platform transactions. MSE quantifies market consistency and evaluates O2O market states using network and entropy theories.
Area of Science:
- Economics
- Network Science
- Information Theory
Background:
- Online-to-offline (O2O) platforms create complex market structures.
- Evaluating the consistency and state of these markets requires new analytical tools.
Purpose of the Study:
- To introduce Market Structure Entropy (MSE) for analyzing O2O platform transactions.
- To develop a quantitative method for evaluating O2O market states.
Main Methods:
- Application of complex network and entropy measurement theories.
- Construction of O2O platform transaction models based on node and link entropy.
- Introduction and expansion of Market Structure Entropy (MSE).
Main Results:
- MSE effectively measures the consistency between individuals and groups in O2O markets.
- MSE can be expanded to assess market quality, time-effect, and capacity.
- The study provides a novel methodology and quantitative index for O2O market analysis.
Conclusions:
- MSE offers a robust framework for understanding O2O market dynamics.
- The quantitative index derived from MSE aids in evaluating O2O market performance and state.
Keywords:
O2O platform transactioncomplex networkmarket capacity entropymarket quality entropymarket structure entropy (MSE)market time-effect entropyMore Related Videos
Related Concept Videos
01:10Design Example: Measuring Distance Between Two Points with Obstructions
170
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
170
01:21Friedman Two-way Analysis of Variance by Ranks
334
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
334
01:23McNemar's Test
512
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
512
01:20Sign Test for Median of Single Population
199
In general, the sign test serves as a nonparametric method to test hypotheses about the median of a single population when the data does not follow a known distribution. This simplicity makes it particularly useful for small sample sizes or when the assumptions of parametric tests cannot be met. The process begins with identifying a null hypothesis, typically stating that the population median equals a specific value. The alternative hypothesis could be that the median is either not equal to,...
199
01:17Sign Test for Matched Pairs
235
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
To conduct the sign test, we first calculate the differences in...
235
01:22Bias
6.4K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
6.4K