A symmetrical curve representing the normal distribution. bell-shaped curve, Gaussian shape, normal curve. statistics-a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters.
If the number of events is very large, then the Gaussian distribution function may be used to describe physical events. DistributionFunctional FormMeanStandard Deviation Gaussian. If the probability of a single event is p = and there are n = events, then the value of the Gaussian distribution function at value x = is x 10^ . For these conditions, the mean number of events is and the standard deviation is. Show Gaussian curve In mathematics, a Gaussian function, often simply referred to as a Gaussian, is a function of the form: for arbitrary real constants a, b and c. It is named after the mathematician Carl Friedrich Gauss. A particular example of a two-dimensional Gaussian function is. Here the coefficient A is the amplitude, x o ,y o is the center and σ x, σ y are the x and y spreads of the blob. The figure on the right was created using A = 1, x o = 0, y o = 0, σ x = σ y = 1. The volume under the Gaussian function is given by. Definition: The term bell curve is used to describe the mathematical concept called normal distribution, sometimes referred to as Gaussian distribution. ‘Bell curve’ refers to the shape that is created when a line is plotted using the data points for an item that meets the criteria of ‘normal distribution’. A good example of a bell curve or normal distribution is the roll of two dice. The distribution is centered around the number 7 and the probability decreases as you move away from the center. Here are the % chance of the various outcomes when you roll two dice. 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. A particular example of a two-dimensional Gaussian function is. Here the coefficient A is the amplitude, x o ,y o is the center and σ x, σ y are the x and y spreads of the blob. The figure on the right was created using A = 1, x o = 0, y o = 0, σ x = σ y = 1. The volume under the Gaussian function is given by. normal distribution a symmetrical distribution of scores with the majority concentrated around the mean; for example, that representing a large number of independent random events. It is in the shape of a bell-shaped curve. Called also gaussian distribution. a distribution which is normal when the log values of the variable are considered. normal distribution. a graph of the distribution appears as a bell-shaped curve which is symmetrical on the two sides of the vertical axis through the peak of the curve. Called also gaussian distribution. parent distribution. the distribution (population) that was originally sampled Noun. 1. Gaussian curve-a symmetrical curve representing the normal distribution. bell-shaped curve, Gaussian shape, normal curve. statistics-a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters. In probability theory, the normal (or Gaussian) distribution is a very common continuous probability distribution. Normal distributions are important in statistics and are often used in the natural and social sciences to represent real-valued random variables whose distributions are not known. The Gaussian distribution belongs to the family of stable distributions which are the attractors of sums of independent, identically distributed distributions whether or not the mean or variance is finite. Gaussian. If the number of events is very large, then the Gaussian distribution function may be used to describe physical events. The Gaussian distribution is a continuous function which approximates the exact binomial distribution of events. DistributionFunctional FormMeanStandard Deviation Gaussian. If the probability of a single event is p = and there are n = events, then the value of the Gaussian distribution function at value x = is x 10^ . For these conditions, the mean number of events is and the standard deviation is. Show Gaussian curve
http://hyperphysics.phy-astr.gsu.edu/hbase/Math/gaufcn.html https://en.wikipedia.org/wiki/Gaussian_function http://math.about.com/od/glossaryofterms/g/Bell-Curve-Normal-Distribution-Defined.htm https://en.wikipedia.org/wiki/Gaussian_function http://medical-dictionary.thefreedictionary.com/gaussian+curve http://www.thefreedictionary.com/Gaussian+curve https://en.wikipedia.org/wiki/Normal_distribution http://hyperphysics.phy-astr.gsu.edu/hbase/Math/gaufcn.html
what is gaussian curve