Technology, Science and Universe
Results for {phrase} ({results_count} of {results_count_total})
Displaying {results_count} results of {results_count_total}
e
- E-Data Description: E-Data refers to information that is stored and managed on a blockchain, a decentralized ledger system that allows for the creation(...) Read more
t
- The descriptive statisticsDescription: Descriptive statistics is a branch of statistics that deals with the summarization and description of data. Its main objective is(...) Read more
- Type I ErrorDescription: Type I Error, also known as a false positive, refers to the situation where a null hypothesis that is actually true is rejected. In(...) Read more
e
- Error Tipo II Description: Type II Error, also known as beta error, refers to the situation where a null hypothesis that is actually false is not rejected. In(...) Read more
r
- Regression equationDescription: The regression equation is a fundamental mathematical tool in the field of data science and statistics that allows modeling and(...) Read more
c
- Confounding EffectDescription: The 'Confounding Effect' refers to a distortion in the estimated effect of an exposure on an outcome, which occurs due to the(...) Read more
e
- Equation of State**Description:** An equation of state is a mathematical relationship that describes the state of a physical system in terms of its variables,(...) Read more
t
- The model evaluationDescription: Model evaluation is the process of assessing the performance of a statistical model using various metrics. This process is(...) Read more
d
- Differential equationDescription: A differential equation is a mathematical relationship that involves derivatives of one or more unknown functions. These equations(...) Read more
i
- Interaction EffectDescription: The 'Interaction Effect' refers to a situation where the effect of one variable on an outcome is modified by the level of another(...) Read more
e
- EstimatorDescription: An estimator is a rule or formula that provides an estimate of a population parameter based on sample data. In the field of data(...) Read more
b
- Bias EffectDescription: The 'Bias Effect' refers to a systematic error that occurs in the collection, analysis, interpretation, or review of data, leading(...) Read more
p
- Prediction equationDescription: A prediction equation is a mathematical tool used in data science and statistics to estimate the value of a dependent variable(...) Read more
s
- Sampling strategyDescription: The sampling strategy is a systematic plan designed to select a representative sample from a population in order to obtain data(...) Read more
t
- Third-Party EffectDescription: The 'Third-Party Effect' refers to the influence that an external variable can have on the relationship between two other(...) Read more