Lower Confidence Bound
Lower Confidence Bound (LCB) is a statistical method used in Data Science to estimate the lower limit of a confidence interval for a given sample size and level of confidence. It is used to determine the minimum value of a parameter with a certain level of confidence. LCB is commonly used in A/B testing to determine the minimum difference between two groups that is statistically significant. The LCB is calculated by subtracting the margin of error from the sample mean. The margin of error is calculated using the standard error of the mean and the t-distribution. The LCB is useful in situations where the cost of a false negative is high, such as in medical testing or quality control. By setting a lower confidence bound, we can be more certain that the true value of the parameter is above a certain threshold.
Your Previous Searches
Random Picks
- Model Parameters: In the context of data science and artificial intelligence, model parameters refer to the values that are learned by a machine learning algorithm during the training process. These values are used to make predictions on new data. Model para ... Read More >>
- Computer Models: Computer models are mathematical algorithms and statistical models that are used to simulate and analyze complex systems and processes. These models are designed to represent real-world phenomena and can be used to make predictions, test hy ... Read More >>
- Video Conferencing: Video conferencing is a technology that enables real-time audio and video communication between two or more people located in different places. It allows people to communicate and collaborate remotely, reducing the need for physical travel ... Read More >>
Top News
As the wildfires grew closer, people with disabilities say they often had to fen...
When people with disabilities aren’t included in disaster plans, the results can be deadly, advocates say. They advise that people make plans in case of wildfires or other emergencies....
News Source: CNN on 2025-01-18
These are Sam Altman's predictions on how the world might change with AI...
OpenAI CEO Sam Altman has made several predictions about where we're headed on AGI, superintelligence, agentic AI — and when we might get there....
News Source: Business Insider on 2025-01-18
How scientists with disabilities are making research labs and fieldwork more acc...
Disabled scientists are trying to make research labs and fieldwork more accessible...
News Source: ABC News on 2025-01-18
A battery plant fire in California started during a boom for energy storage...
A fire at a one of the world’s largest battery plants in California contained tens of thousands of lithium batteries that store power from renewable energy sources...
News Source: ABC News on 2025-01-17
A legendary investor who predicted the dot-com crash says there's a key ingredie...
"The markets, while high-priced and perhaps frothy, don't seem nutty to me," Howard Marks said....
News Source: Business Insider on 2025-01-17