unbiased

Examples of unbiased in the following topics:

• Using Impartial Language

  • In business writing, it is important to communicate the message using impartial or unbiased language.
  • In business writing, it is important to communicate the message using impartial or unbiased language.
  • Choosing unbiased language avoids offensive language and ensures that the message is effectively communicated.
  • Here are a few examples that illustrate the use of unbiased language:
  • In business writing, it is important to communicate the message using impartial or unbiased language.

• Variations in Accuracy

  • Make sure all sources of information for your speech are accurate, reliable, unbiased, credible, and current.
  • " You'll want to make sure your sources are reliable, unbiased, and current.
  • To find academic and scholarly sources, asking your local librarian is one of the best ways to validate whether or not a source you have found is reliable, unbiased, and current.

• Introduction to inference for other estimators

  • We make another important assumption about each point estimate encountered in this section: the estimate is unbiased.
  • A point estimate is unbiased if the sampling distribution of the estimate is centered at the parameter it estimates.
  • That is, an unbiased estimate does not naturally over or underestimate the parameter.
  • The sample mean is an example of an unbiased point estimate, as are each of the examples we introduce in this section.

• Samples

  • An unbiased (representative) sample is a set of objects chosen from a complete sample using a selection process that does not depend on the properties of the objects.
  • For example, an unbiased sample of Australian men taller than 2 meters might consist of a randomly sampled subset of 1% of Australian males taller than 2 meters.
  • However, one chosen from the electoral register might not be unbiased since, for example, males aged under 18 will not be on the electoral register.
  • In an astronomical context, an unbiased sample might consist of that fraction of a complete sample for which data are available, provided the data availability is not biased by individual source properties.

• Accounting Methodologies: Amortized Cost, Fair Value, and Equity

  • Fair value, also called fair price, is a concept used in accounting and economics, defined as a rational and unbiased estimate of the potential market price of goods, services, or assets, taking into account such objective factors as:
  • Fair value, defined as a rational and unbiased estimate of the potential market price of a good, service, or asset.

• Random Samples

  • An unbiased random selection of individuals is important so that in the long run, the sample represents the population.
  • A simple random sample is an unbiased surveying technique.
  • An unbiased random selection of individuals is important so that, in the long run, the sample represents the population.

• Least-Squares Regression

  • It is considered optimal in the class of linear unbiased estimators when the errors are homoscedastic and serially uncorrelated.
  • Under these conditions, the method of OLS provides minimum-variance, mean-unbiased estimation when the errors have finite variances.

• Confidence intervals for nearly normal point estimates

  • This same logic generalizes to any unbiased point estimate that is nearly normal.
  • A confidence interval based on an unbiased and nearly normal point estimate is:

• Policy Adoption

  • When reporting and commentary is unbiased it can provide a forum where debate over various cases for policy adoption takes place.

• Characteristics of Estimators

  • Scale 2, by contrast, gives unbiased estimates of your weight.
  • Therefore the sample mean is an unbiased estimate of μ.
  • If N is used in the formula for s2, then the estimates tend to be too low and therefore biased.The formula with N-1 in the denominator gives an unbiased estimate of the population variance.Note that N-1 is the degrees of freedom.