"Estimators" Natural Recordings by Native Speakers
Estimators are mathematical formulas or techniques used to calculate the value of a parameter or quantity of interest, often based on a sample of data. Estimators are used in statistics and data analysis to make inferences about a population or process based on a limited sample of data. In other words, they are used to estimate the value of a population parameter (such as a mean, proportion, or variance) based on a random sample of data from that population. There are different types of estimators, including unbiased estimators, unbiased risk estimators, and minimum variance unbiased estimators, each with its own set of properties and characteristics.
Estimated refers to a value or a quantity that has been calculated or predicted, but is not necessarily exact or precise. It suggests that the actual value may be slightly different from the one given.
Estimates refer to the approximate or probable values, results, or quantities of something, often based on incomplete or limited information. It can also mean to forecast or make an educated guess about the outcome of a situation.
Estimating refers to the process of making a rough or approximate calculation or prediction about the size, amount, or duration of something. It involves making an educated guess or an informed judgment about a quantity, circumstance, or outcome without exact information. Estimating is often used in various fields such as construction, finance, and science to plan and budget for future events or projects.
An estimation is a rough or approximate calculation or judgment of the amount, size, or value of something, often based on available data or information.
Estimations refer to predictions or inferences about something that are not based on exact or certain information. They are often uncertain or approximate, and may involve making educated guesses or using statistical methods to calculate a likelihood or probability.