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A bell-shaped function or simply 'bell curve' is a mathematical function having a characteristic "bell"-shaped curve. These functions are typically continuous or smooth, asymptotically approach zero for large negative/positive x, and have a single, unimodal maximum at small x. Hence, the integral of a bell-shaped function is typically a sigmoid ...
A normal distribution is sometimes informally called a bell curve. [8] However, many other distributions are bell-shaped ... In the bottom-right graph, smoothed ...
The graph of a Gaussian is a characteristic symmetric "bell curve" shape. The parameter a is the height of the curve's peak, b is the position of the center of the peak, and c (the standard deviation, sometimes called the Gaussian RMS width) controls the width of the "bell".
This is a list of Wikipedia articles about curves used in different fields: ... a quasi-helical shape characterized by multiple tendril ... Bathtub curve; Bell curve;
The Bell Curve: Intelligence and Class Structure in American Life is a 1994 book by the psychologist Richard J. Herrnstein and the political scientist Charles Murray in which the authors argue that human intelligence is substantially influenced by both inherited and environmental factors and that it is a better predictor of many personal outcomes, including financial income, job performance ...
Figure 1. A simple bimodal distribution, in this case a mixture of two normal distributions with the same variance but different means. The figure shows the probability density function (p.d.f.), which is an equally-weighted average of the bell-shaped p.d.f.s of the two normal distributions.
The bell curve is typical of the normal distribution. Bell curve may also refer to: Gaussian function, a specific kind of function whose graph is a bell-shaped curve; The Bell Curve, a 1994 book by Richard J. Herrnstein and Charles Murray The Bell Curve Debate, a 1995 book on The Bell Curve edited by Jacoby and Glauberman
The exponentially modified normal distribution is another 3-parameter distribution that is a generalization of the normal distribution to skewed cases. The skew normal still has a normal-like tail in the direction of the skew, with a shorter tail in the other direction; that is, its density is asymptotically proportional to for some positive .