error statistics
31Mean squared error — In statistics, the mean squared error (MSE) of an estimator is one of many ways to quantify the difference between values implied by a kernel density estimator and the true values of the quantity being estimated. MSE is a risk function,… …
32Sampling error — Contents 1 Description 1.1 Random sampling 1.2 Bias problems 1.3 Non sampling error 2 See also …
33Observational error — is the difference between a measured value of quantity and its true value.[1] In statistics, an error is not a mistake . Variability is an inherent part of things being measured and of the measurement process. Contents 1 Science and experiments 2 …
34Degrees of freedom (statistics) — In statistics, the number of degrees of freedom is the number of values in the final calculation of a statistic that are free to vary.[1] Estimates of statistical parameters can be based upon different amounts of information or data. The number… …
35Resampling (statistics) — In statistics, resampling is any of a variety of methods for doing one of the following: # Estimating the precision of sample statistics (medians, variances, percentiles) by using subsets of available data (jackknife) or drawing randomly with… …
36probability and statistics — ▪ mathematics Introduction the branches of mathematics concerned with the laws governing random events, including the collection, analysis, interpretation, and display of numerical data. Probability has its origin in the study of gambling… …
37Reliability (statistics) — In statistics, reliability is the consistency of a set of measurements or measuring instrument, often used to describe a test. This can either be whether the measurements of the same instrument give or are likely to give the same measurement… …
38Probability of error — In statistics, the term error arises in two ways. Firstly, it arises in the context of decision making, where the probability of error may be considered as being the probability of making a wrong decision and which would have a different value… …
39Sampling (statistics) — Sampling is that part of statistical practice concerned with the selection of individual observations intended to yield some knowledge about a population of concern, especially for the purposes of statistical inference. Each observation measures… …
40Non-sampling error — In statistics, non sampling error is a catch all term for the deviations from the true value that are not a function of the sample chosen, including various systematic errors and any random errors that are not due to sampling.[1] Non sampling… …
