curve of errors
1Errors and residuals in statistics — For other senses of the word residual , see Residual. In statistics and optimization, statistical errors and residuals are two closely related and easily confused measures of the deviation of a sample from its theoretical value . The error of a… …
2Curve fitting — best fit redirects here. For placing ( fitting ) variable sized objects in storage, see fragmentation (computer). Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points,… …
3The Bell Curve — For other uses, see Bell curve (disambiguation). The Bell Curve   …
4Type I and type II errors — In statistics, the terms Type I error (also, α error, or false positive) and type II error (β error, or a false negative) are used to describe possible errors made in a statistical decision process. In 1928, Jerzy Neyman (1894 1981) and Egon… …
5Phillips curve — The Phillips curve is a historical inverse relation between the rate of unemployment and the rate of inflation in an economy. Stated simply, the lower the unemployment in an economy, the higher the rate of increase in wages paid to labor in that… …
6Normal curve equivalent — In educational statistics, a normal curve equivalent (NCE), developed for the United States Department of Education by the RMC Research Corporation,[1][2] is a way of standardizing scores received on a test. It is defined as (approximately) 50 +… …
7Normal distribution — This article is about the univariate normal distribution. For normally distributed vectors, see Multivariate normal distribution. Probability density function The red line is the standard normal distribution Cumulative distribution function …
8Abraham de Moivre — Moivre redirects here; for the French commune see Moivre, Marne. Abraham de Moivre Abraham de Moivre Born …
9Формула Стирлинга — Отношение (ln n!) к (n ln n − n) стремится к 1 с увеличением n. В математике формула Стирлинга …
10Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression …
