mean-unbiased estimate
121Location estimation in sensor networks — Location estimation in wireless sensor networks is the problem of estimating the location of an object from a set of noisy measurements, when the measurements are acquired in a distributedmanner by a set of sensors.MotivationIn many civilian and… …
122Simple linear regression — A simple linear regression is a linear regression in which there is only one covariate (predictor variable). Simple linear regression is a form of multiple regression. Simple linear regression is used in situations to evaluate the linear… …
123Native Americans in the United States — This article is about the indigenous people of the United States. For other indigenous people see Indigenous peoples by geographic regions Native Americans …
124Coefficient of determination — In statistics, the coefficient of determination R2 is used in the context of statistical models whose main purpose is the prediction of future outcomes on the basis of other related information. It is the proportion of variability in a data set… …
125Nanking Massacre denial — Nanking Massacrev · d · e Battl …
126Convergence of random variables — In probability theory, there exist several different notions of convergence of random variables. The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to …
127True variance — In statistics, the term true variance is often used to refer to the unobservable variance of a whole finite population, as distinguished from an observable statistic based on a sample. Suppose a number, such as a person s height or income or age… …
128Galton's problem — Galton’s problem, named after Sir Francis Galton, is the problem of drawing inferences from cross cultural data, due to the statistical phenomenon now called autocorrelation. The problem is now recognized as a general one that applies to all… …
